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11 GitHub repos with 1.5M+ combined stars replace tools you'd otherwise pay $50K+/year for 1. free-for-dev (131k⭐) - hundreds of services with permanent free tiers. No trials, the repo's own rule. 2. public-apis (453k⭐) - 1,500+ free APIs: weather, finance, images, games. 3. awesome-selfhosted (309k⭐)- self-hosted replacements for Notion,...

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114,348 views • 6 days ago •via X (Twitter)

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5 open-source AI repos that blew up on github this week → 1. MinerU (opendatalab) - ~69k★ turns any PDF or office doc into clean, LLM-ready markdown - the fix for garbage RAG inputs 2. voicebox (jamiepine) - ~35k★ open-source AI voice studio - clone a voice, dictate, create. the local ElevenLabs 3. ai-website-cloner-template (JCodesMore) - ~22k★ clone any website with one command using your AI coding agent - great for learning and prototyping 4. Anthropic-Cybersecurity-Skills (mukul975) - ~21k★ 800+ ready security skills for AI agents, mapped to MITRE ATT&CK and NIST - works with claude code, cursor, codex 5. agent-native (builderio) - ~3k★ a framework for building apps designed for AI agents from day one, not bolted on after one of these saves you a paid tool. bookmark before you forge
0:59

5 open-source AI repos that blew up on github this week → 1. MinerU (opendatalab) - ~69k★ turns any PDF or office doc into clean, LLM-ready markdown - the fix for garbage RAG inputs 2. voicebox (jamiepine) - ~35k★ open-source AI voice studio - clone a voice, dictate, create. the local ElevenLabs 3. ai-website-cloner-template (JCodesMore) - ~22k★ clone any website with one command using your AI coding agent - great for learning and prototyping 4. Anthropic-Cybersecurity-Skills (mukul975) - ~21k★ 800+ ready security skills for AI agents, mapped to MITRE ATT&CK and NIST - works with claude code, cursor, codex 5. agent-native (builderio) - ~3k★ a framework for building apps designed for AI agents from day one, not bolted on after one of these saves you a paid tool. bookmark before you forge

self.dll

65,079 views • 1 month ago

THIS IS THE MOST COMPLETE CLAUDE CODE SETUP I'VE EVER SEEN someone open-sourced a full agent harness for Claude Code 38 agents. 156 skills. 72 commands. all pre-configured the kind of setup you'd spend weeks building yourself what's inside: → planner - feature implementation planning → architect - system design decisions → tdd-guide - test-driven development workflow → code-reviewer - quality and security review → security-reviewer - vulnerability analysis → build-error-resolver - fixes broken builds → refactor-cleaner - dead code cleanup → doc-updater - keeps docs in sync → chief-of-staff - communication triage → + 29 more agents 156 skills covering token optimization, memory persistence, continuous learning, verification loops, parallelization, subagent orchestration it ships with AgentShield baked in a security auditor that runs vulnerability checks on every agent action before execution works on Claude Code, Cursor, OpenCode, and Codex CLI one repo, one install, configured everywhere one warning: loading 38 agents and 156 skills into your context at once will burn your usage limits in minutes pick the 3-4 you actually need and load only those free. open-source. MIT licensed like + bookmark - you'll need this
1:15

THIS IS THE MOST COMPLETE CLAUDE CODE SETUP I'VE EVER SEEN someone open-sourced a full agent harness for Claude Code 38 agents. 156 skills. 72 commands. all pre-configured the kind of setup you'd spend weeks building yourself what's inside: → planner - feature implementation planning → architect - system design decisions → tdd-guide - test-driven development workflow → code-reviewer - quality and security review → security-reviewer - vulnerability analysis → build-error-resolver - fixes broken builds → refactor-cleaner - dead code cleanup → doc-updater - keeps docs in sync → chief-of-staff - communication triage → + 29 more agents 156 skills covering token optimization, memory persistence, continuous learning, verification loops, parallelization, subagent orchestration it ships with AgentShield baked in a security auditor that runs vulnerability checks on every agent action before execution works on Claude Code, Cursor, OpenCode, and Codex CLI one repo, one install, configured everywhere one warning: loading 38 agents and 156 skills into your context at once will burn your usage limits in minutes pick the 3-4 you actually need and load only those free. open-source. MIT licensed like + bookmark - you'll need this

self.dll

19,794 views • 3 months ago

If your MCP server has dozens of tools, it’s probably built wrong. You need tools that are specific and clear for each use case—but you also can’t have too many. This creates an almost impossible tradeoff that most companies don’t know how to solve. That’s why I interviewed my friend Alex Rattray (Alex Rattray), the founder and CEO of Stainless. Stainless builds APIs, SDKs, and MCP servers for companies like OpenAI and Anthropic. Alex has spent years mastering how to make software talk to software, and he came on the show to share what he knows. I had him on Every 📧’s AI & I to talk about MCP and the future of the AI-native internet. We get into: • Design MCP servers to be lean and precise. Alex’s best practices for building reliable MCP servers start with keeping the toolset small, giving each tool a precise name and description, and minimizing the inputs and outputs the model has to handle. At Stainless, they also often add a JSON filter on top to strip out unnecessary data. • Make complex APIs manageable with dynamic mode. To solve the problem of how an AI figures out which tool to use in larger APIs, Stainless switches to “dynamic mode,” where the model gets only three tools: List the endpoints, pick one and learn about it, and then execute it. • MCP servers as business copilots. At Stainless, Alex uses MCP servers to connect tools like Notion and HubSpot, so he can ask questions like, “Which customers signed up last week?” The system queries multiple databases and returns a summary that would’ve otherwise taken multiple logins and searches. • Create a “brain” for your company with Claude Code. Alex built a shared company brain at Stainless by keeping Claude Code running on his system and asking it to save useful inputs—like customer feedback and SQL queries—into GitHub. Over time, this creates a curated archive his team can query easily. • The future of MCP is code execution. Instead of giving models hundreds of tools, Alex believes the most powerful setup will be a simple code execution tool and a doc search tool. The AI writes code against an API’s SDK, runs it on a server, and checks the docs when it gets stuck. This is a must-watch for anyone who wants to understand MCP—and learn how to use them as a competitive edge. Watch below! Timestamps: Introduction: 00:01:14 Why Alex likes running barefoot: 00:02:54 APIs and MCP, the connectors of the new internet: 00:05:09 Why MCP servers are hard to get right: 00:10:53 Design principles for reliable MCP servers: 00:20:07 Scaling MCP servers for large APIs: 00:23:50 Using MCP for business ops at Stainless: 00:25:14 Building a company brain with Claude Code: 00:28:12 Where MCP goes from here: 00:33:59 Alex’s take on the security model for MCP: 00:41:10
51:39

If your MCP server has dozens of tools, it’s probably built wrong. You need tools that are specific and clear for each use case—but you also can’t have too many. This creates an almost impossible tradeoff that most companies don’t know how to solve. That’s why I interviewed my friend Alex Rattray (Alex Rattray), the founder and CEO of Stainless. Stainless builds APIs, SDKs, and MCP servers for companies like OpenAI and Anthropic. Alex has spent years mastering how to make software talk to software, and he came on the show to share what he knows. I had him on Every 📧’s AI & I to talk about MCP and the future of the AI-native internet. We get into: • Design MCP servers to be lean and precise. Alex’s best practices for building reliable MCP servers start with keeping the toolset small, giving each tool a precise name and description, and minimizing the inputs and outputs the model has to handle. At Stainless, they also often add a JSON filter on top to strip out unnecessary data. • Make complex APIs manageable with dynamic mode. To solve the problem of how an AI figures out which tool to use in larger APIs, Stainless switches to “dynamic mode,” where the model gets only three tools: List the endpoints, pick one and learn about it, and then execute it. • MCP servers as business copilots. At Stainless, Alex uses MCP servers to connect tools like Notion and HubSpot, so he can ask questions like, “Which customers signed up last week?” The system queries multiple databases and returns a summary that would’ve otherwise taken multiple logins and searches. • Create a “brain” for your company with Claude Code. Alex built a shared company brain at Stainless by keeping Claude Code running on his system and asking it to save useful inputs—like customer feedback and SQL queries—into GitHub. Over time, this creates a curated archive his team can query easily. • The future of MCP is code execution. Instead of giving models hundreds of tools, Alex believes the most powerful setup will be a simple code execution tool and a doc search tool. The AI writes code against an API’s SDK, runs it on a server, and checks the docs when it gets stuck. This is a must-watch for anyone who wants to understand MCP—and learn how to use them as a competitive edge. Watch below! Timestamps: Introduction: 00:01:14 Why Alex likes running barefoot: 00:02:54 APIs and MCP, the connectors of the new internet: 00:05:09 Why MCP servers are hard to get right: 00:10:53 Design principles for reliable MCP servers: 00:20:07 Scaling MCP servers for large APIs: 00:23:50 Using MCP for business ops at Stainless: 00:25:14 Building a company brain with Claude Code: 00:28:12 Where MCP goes from here: 00:33:59 Alex’s take on the security model for MCP: 00:41:10

Dan Shipper 📧

15,645 views • 10 months ago

Building an Agent Team on Buzz (Complete Guide) Buzz is a new free platform, that feels exactly like Slack, except the agents aren't add ons, they are equals. and in 5 minutes you can create an agent team. And it works with your existing Codex and Claude Code subscriptions... So it's free to use. This video is divided into 2 parts: --- ⭐ Part 1 Conversation with Vinny (Vinny) 00:00 Introduction 01:59 Why is Buzz Going Viral? 07:08 Creating Agents & Channels with Fizz 20:03 Adding Other Harnesses (OpenCode, Cursor) 21:25 The Buzz Mobile App 22:36 Payments & Shared Compute 25:36 Workflows & Projects: A GitHub Killer? 30:14 The Future of Buzz: An Open Cowork? 35:13 Automations, Triggers & Trusting Your Agents --- ⭐ Part 2 - Getting Started Tutorial (My workflow) 42:32 Tutorial and Breakdown 43:03 Downloading Buzz And Default Agents 43:35 Creating your first agent 45:13 Adding Agents to channels 45:43 Why I use Codex as Lead Agent 47:06 Using Codex, Claude Code and Grok for task 48:52 Adding Muse (Meta Model) using OpenRouter 51:23 iOS app is Free and easy to use 51:50 My management Channel (My #1 use case) ---
55:15

Building an Agent Team on Buzz (Complete Guide) Buzz is a new free platform, that feels exactly like Slack, except the agents aren't add ons, they are equals. and in 5 minutes you can create an agent team. And it works with your existing Codex and Claude Code subscriptions... So it's free to use. This video is divided into 2 parts: --- ⭐ Part 1 Conversation with Vinny (Vinny) 00:00 Introduction 01:59 Why is Buzz Going Viral? 07:08 Creating Agents & Channels with Fizz 20:03 Adding Other Harnesses (OpenCode, Cursor) 21:25 The Buzz Mobile App 22:36 Payments & Shared Compute 25:36 Workflows & Projects: A GitHub Killer? 30:14 The Future of Buzz: An Open Cowork? 35:13 Automations, Triggers & Trusting Your Agents --- ⭐ Part 2 - Getting Started Tutorial (My workflow) 42:32 Tutorial and Breakdown 43:03 Downloading Buzz And Default Agents 43:35 Creating your first agent 45:13 Adding Agents to channels 45:43 Why I use Codex as Lead Agent 47:06 Using Codex, Claude Code and Grok for task 48:52 Adding Muse (Meta Model) using OpenRouter 51:23 iOS app is Free and easy to use 51:50 My management Channel (My #1 use case) ---

Riley Brown

360,029 views • 5 days ago

10 repos blowing up on GitHub this week that replace $1,500/month in AI tools 1. andrej-karpathy-skills → replaces paid Claude Code courses one CLAUDE.md file from Karpathy's LLM coding observations 48,965 stars. 7,939 stars TODAY 2. claude-mem → replaces paid context/memory tools auto-captures everything Claude does across sessions compresses with AI and injects into future sessions 59,373 stars. 1,907 stars today 3. voicebox → replaces ElevenLabs ($22/mo) open-source voice synthesis studio 18,963 stars. 887 stars today 4. open-agents → replaces paid agent platforms ($200/mo) open-source template for building cloud agents. by Vercel 3,105 stars. 735 stars today 5. cognee → replaces paid knowledge bases ($50/mo) AI agent memory engine in 6 lines of code 15,733 stars 6. magika → replaces paid file detection tools AI file content type detection. by Google 14,603 stars 7. GenericAgent → replaces paid agent infra ($100/mo) self-evolving agent. grows skill tree from 3.3K-line seed 6x less token consumption than standard agents 2,661 stars. 883 stars today 8. omi → replaces Rewind AI ($25/mo) AI that sees your screen + listens to conversations tells you what to do next 8,952 stars. 488 stars today 9. evolver → replaces manual agent optimization self-evolution engine for AI agents genome evolution protocol 3,074 stars. 866 stars today 10. wallet tracking + copy trading → Kreo tracks top Polymarket wallets. auto copies trades the only tool on this list i actually pay for because it makes more than it costs → total before: ~$1,500/month in AI subscriptions total now: $0 + Kreo like + bookmark you'll need this
1:05

10 repos blowing up on GitHub this week that replace $1,500/month in AI tools 1. andrej-karpathy-skills → replaces paid Claude Code courses one CLAUDE.md file from Karpathy's LLM coding observations 48,965 stars. 7,939 stars TODAY 2. claude-mem → replaces paid context/memory tools auto-captures everything Claude does across sessions compresses with AI and injects into future sessions 59,373 stars. 1,907 stars today 3. voicebox → replaces ElevenLabs ($22/mo) open-source voice synthesis studio 18,963 stars. 887 stars today 4. open-agents → replaces paid agent platforms ($200/mo) open-source template for building cloud agents. by Vercel 3,105 stars. 735 stars today 5. cognee → replaces paid knowledge bases ($50/mo) AI agent memory engine in 6 lines of code 15,733 stars 6. magika → replaces paid file detection tools AI file content type detection. by Google 14,603 stars 7. GenericAgent → replaces paid agent infra ($100/mo) self-evolving agent. grows skill tree from 3.3K-line seed 6x less token consumption than standard agents 2,661 stars. 883 stars today 8. omi → replaces Rewind AI ($25/mo) AI that sees your screen + listens to conversations tells you what to do next 8,952 stars. 488 stars today 9. evolver → replaces manual agent optimization self-evolution engine for AI agents genome evolution protocol 3,074 stars. 866 stars today 10. wallet tracking + copy trading → Kreo tracks top Polymarket wallets. auto copies trades the only tool on this list i actually pay for because it makes more than it costs → total before: ~$1,500/month in AI subscriptions total now: $0 + Kreo like + bookmark you'll need this

self.dll

361,846 views • 3 months ago

THE GUY WHO WON ANTHROPIC'S HACKATHON JUST GAVE AWAY HIS ENTIRE CLAUDE CODE PLAYBOOK FOR FREE. 10 MONTHS OF WORK, ALL PUBLIC Affaan Mustafa won the Anthropic x Forum Ventures hackathon by building a full startup in 8 hours with Claude Code. Then he open-sourced the exact setup that did it. It's called Everything Claude Code, and it turns Claude from one assistant into an entire engineering team Repo: affaan-m/ecc This isn't a prompt pack. It's a system he refined over 10+ months of daily use shipping real products What's inside: A huge library of skills, dozens of specialized subagents, and ready-made commands, all working together. Each piece does one job. One subagent reviews security against OWASP standards. One optimizes memory so Claude stops forgetting earlier decisions around hour three. One learns from your past sessions and projects so the setup gets smarter the more you use it. Others handle planning, test-driven development, and language-specific code review Instead of one assistant writing code, you get an orchestrated team. A main session delegates to the right specialist when the task calls for it, the way a real dev team splits work The best part: it's not locked to one tool. It runs in Claude Code, Cursor, Codex and OpenCode, across Windows, Mac and Linux. Free, MIT licensed This is the difference between using Claude like a search box and running it like a team that ships. The guy spent 10 months figuring out what actually works so you don't have to Bookmark this
9:32

THE GUY WHO WON ANTHROPIC'S HACKATHON JUST GAVE AWAY HIS ENTIRE CLAUDE CODE PLAYBOOK FOR FREE. 10 MONTHS OF WORK, ALL PUBLIC Affaan Mustafa won the Anthropic x Forum Ventures hackathon by building a full startup in 8 hours with Claude Code. Then he open-sourced the exact setup that did it. It's called Everything Claude Code, and it turns Claude from one assistant into an entire engineering team Repo: affaan-m/ecc This isn't a prompt pack. It's a system he refined over 10+ months of daily use shipping real products What's inside: A huge library of skills, dozens of specialized subagents, and ready-made commands, all working together. Each piece does one job. One subagent reviews security against OWASP standards. One optimizes memory so Claude stops forgetting earlier decisions around hour three. One learns from your past sessions and projects so the setup gets smarter the more you use it. Others handle planning, test-driven development, and language-specific code review Instead of one assistant writing code, you get an orchestrated team. A main session delegates to the right specialist when the task calls for it, the way a real dev team splits work The best part: it's not locked to one tool. It runs in Claude Code, Cursor, Codex and OpenCode, across Windows, Mac and Linux. Free, MIT licensed This is the difference between using Claude like a search box and running it like a team that ships. The guy spent 10 months figuring out what actually works so you don't have to Bookmark this

Yarchi

812,853 views • 1 month ago

AI AGENTS 101 (58 minute free masterclass) send this to anyone who wants to understand ai agents, claude skills, md files, how to get the most out of AI etc in plain english: 1. chat vs agents - chat models answer questions in a back and forth while agents take a goal, figure out the steps, and deliver a result 2. agents don’t stop after one response. they keep running until the task is actually finishedno babysitting required 3. everything runs on a loop. they gather context, decide what to do, take an action, then repeat until done 4. the loop is the system. they look at files, tools, and the internet. decide the next step. execute and then feed that back into the next step. over and over until completion 5. the model is just one piece. gpt, claude, gemini are the reasoning layer. the key is model + loop + tools + context 6. mcp is how agents use tools. it connects things like browser, code, apis, and your internal software. once connected, the agent decides when to use them to get the job done 7. context beats prompt all day. you don't need to write perfect prompts. load your agent with context about your business, style, and goals and then simple instructions work 8. claude.md or agents.md is the onboarding doc it tells the agent who it is, how to behave, what it knows, and what tools it can use. this gets loaded every time before it starts 9. memory.md is how it improves. agents don’t remember by default. this file stores preferences, corrections, and patterns you tell the agent to update it, and it gets better over time 10. skills + harnesses make it usable. skills are reusable tasks like writing, research, analysis the harness is the environment like claude code or openclaw that runs everything. basiclaly, different interfaces, same system underneath this episode with remy on The Startup Ideas Podcast (SIP) 🧃 was one of the clearest ways of understanding a lot of the core concepts of ai agents could be the best beginners course for ai agents 58 mins. all free. no advertisers. i just want to see you build cool stuff. im rooting for you. send to a friend watch
58:55

AI AGENTS 101 (58 minute free masterclass) send this to anyone who wants to understand ai agents, claude skills, md files, how to get the most out of AI etc in plain english: 1. chat vs agents - chat models answer questions in a back and forth while agents take a goal, figure out the steps, and deliver a result 2. agents don’t stop after one response. they keep running until the task is actually finishedno babysitting required 3. everything runs on a loop. they gather context, decide what to do, take an action, then repeat until done 4. the loop is the system. they look at files, tools, and the internet. decide the next step. execute and then feed that back into the next step. over and over until completion 5. the model is just one piece. gpt, claude, gemini are the reasoning layer. the key is model + loop + tools + context 6. mcp is how agents use tools. it connects things like browser, code, apis, and your internal software. once connected, the agent decides when to use them to get the job done 7. context beats prompt all day. you don't need to write perfect prompts. load your agent with context about your business, style, and goals and then simple instructions work 8. claude.md or agents.md is the onboarding doc it tells the agent who it is, how to behave, what it knows, and what tools it can use. this gets loaded every time before it starts 9. memory.md is how it improves. agents don’t remember by default. this file stores preferences, corrections, and patterns you tell the agent to update it, and it gets better over time 10. skills + harnesses make it usable. skills are reusable tasks like writing, research, analysis the harness is the environment like claude code or openclaw that runs everything. basiclaly, different interfaces, same system underneath this episode with remy on The Startup Ideas Podcast (SIP) 🧃 was one of the clearest ways of understanding a lot of the core concepts of ai agents could be the best beginners course for ai agents 58 mins. all free. no advertisers. i just want to see you build cool stuff. im rooting for you. send to a friend watch

GREG ISENBERG

375,365 views • 4 months ago

New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs access tools, data, and prompts from external sources, and simplifies how you provide context to your LLM-based applications. For example, you can provide context via third-party tools that let your LLM make API calls to search the web, access data from local docs, retrieve code from a GitHub repo, and so on. MCP, developed by Anthropic, is based on a client-server architecture that defines the communication details between an MCP client, hosted inside the AI application, and an MCP server that exposes tools, resources, and prompt templates. The server can be a subprocess launched by the client that runs locally or an independent process running remotely. In this hands-on course, you'll learn the core architecture behind MCP. You’ll create an MCP-compatible chatbot, build and deploy an MCP server, and connect the chatbot to your MCP server and other open-source servers. Here’s what you’ll do: - Understand why MCP makes AI development less fragmented and standardizes connections between AI applications and external data sources - Learn the core components of the client-server architecture of MCP and the underlying communication mechanism - Build a chatbot with custom tools for searching academic papers, and transform it into an MCP-compatible application - Build a local MCP server that exposes tools, resources, and prompt templates using FastMCP, and test it using MCP Inspector - Create an MCP client inside your chatbot to dynamically connect to your server - Connect your chatbot to reference servers built by Anthropic’s MCP team, such as filesystem, which implements filesystem operations, and fetch, which extracts contents from the web as markdown - Configure Claude Desktop to connect to your server and others, and explore how it abstracts away the low-level logic of MCP clients - Deploy your MCP server remotely and test it with the Inspector or other MCP-compatible applications - Learn about the roadmap for future MCP development, such as multi-agent architecture, MCP registry API, server discovery, authorization, and authentication MCP is an exciting and important technology that lets you build rich-context AI applications that connect to a growing ecosystem of MCP servers, with minimal integration work. Please sign up here!
2:43

New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs access tools, data, and prompts from external sources, and simplifies how you provide context to your LLM-based applications. For example, you can provide context via third-party tools that let your LLM make API calls to search the web, access data from local docs, retrieve code from a GitHub repo, and so on. MCP, developed by Anthropic, is based on a client-server architecture that defines the communication details between an MCP client, hosted inside the AI application, and an MCP server that exposes tools, resources, and prompt templates. The server can be a subprocess launched by the client that runs locally or an independent process running remotely. In this hands-on course, you'll learn the core architecture behind MCP. You’ll create an MCP-compatible chatbot, build and deploy an MCP server, and connect the chatbot to your MCP server and other open-source servers. Here’s what you’ll do: - Understand why MCP makes AI development less fragmented and standardizes connections between AI applications and external data sources - Learn the core components of the client-server architecture of MCP and the underlying communication mechanism - Build a chatbot with custom tools for searching academic papers, and transform it into an MCP-compatible application - Build a local MCP server that exposes tools, resources, and prompt templates using FastMCP, and test it using MCP Inspector - Create an MCP client inside your chatbot to dynamically connect to your server - Connect your chatbot to reference servers built by Anthropic’s MCP team, such as filesystem, which implements filesystem operations, and fetch, which extracts contents from the web as markdown - Configure Claude Desktop to connect to your server and others, and explore how it abstracts away the low-level logic of MCP clients - Deploy your MCP server remotely and test it with the Inspector or other MCP-compatible applications - Learn about the roadmap for future MCP development, such as multi-agent architecture, MCP registry API, server discovery, authorization, and authentication MCP is an exciting and important technology that lets you build rich-context AI applications that connect to a growing ecosystem of MCP servers, with minimal integration work. Please sign up here!

Andrew Ng

142,010 views • 1 year ago

Big moment for Postgres! AI coding tools have been surprisingly bad at writing Postgres code. Not because the models are dumb, but because of how they learned SQL in the first place. LLMs are trained on the internet, which is full of outdated Stack Overflow answers and quick-fix tutorials. So when you ask an AI to generate a schema, it gives you something that technically runs but misses decades of Postgres evolution, like: - No GENERATED ALWAYS AS IDENTITY (added in PG10) - No expression or partial indexes - No NULLS NOT DISTINCT (PG15) - Missing CHECK constraints and proper foreign keys - Generic naming that tells you nothing But this is actually a solvable problem. You can teach AI tools to write better Postgres by giving them access to the right documentation at inference time. This exact solution is actually implemented in the newly released pg-aiguide by Tiger Data - Creators of TimescaleDB, which is an open-source MCP server that provides coding tools access to 35 years of Postgres expertise. In a gist, the MCP server enables: - Semantic search over the official PostgreSQL manual (version-aware, so it knows PG14 vs PG17 differences) - Curated skills with opinionated best practices for schema design, indexing, and constraints. I ran an experiment with Claude Code to see how well this works, and worked with the team to put this together. Prompt: "Generate a schema for an e-commerce site twice, one with the MCP server disabled, one with it enabled. Finally, run an assessment to compare the generated schemas." The run with the MCP server led to: - 420% more indexes (including partial and expression indexes) - 235% more constraints - 60% more tables (proper normalization) - 11 automation functions and triggers - Modern PG17 patterns throughout The MCP-assisted schema had proper data integrity, performance optimizations baked in, and followed naming conventions that actually make sense in production. pg-aiguide works with Claude Code, Cursor, VS Code, and any MCP-compatible tool. It's free and fully open source. I have shared the repo in the replies!
0:25

Big moment for Postgres! AI coding tools have been surprisingly bad at writing Postgres code. Not because the models are dumb, but because of how they learned SQL in the first place. LLMs are trained on the internet, which is full of outdated Stack Overflow answers and quick-fix tutorials. So when you ask an AI to generate a schema, it gives you something that technically runs but misses decades of Postgres evolution, like: - No GENERATED ALWAYS AS IDENTITY (added in PG10) - No expression or partial indexes - No NULLS NOT DISTINCT (PG15) - Missing CHECK constraints and proper foreign keys - Generic naming that tells you nothing But this is actually a solvable problem. You can teach AI tools to write better Postgres by giving them access to the right documentation at inference time. This exact solution is actually implemented in the newly released pg-aiguide by Tiger Data - Creators of TimescaleDB, which is an open-source MCP server that provides coding tools access to 35 years of Postgres expertise. In a gist, the MCP server enables: - Semantic search over the official PostgreSQL manual (version-aware, so it knows PG14 vs PG17 differences) - Curated skills with opinionated best practices for schema design, indexing, and constraints. I ran an experiment with Claude Code to see how well this works, and worked with the team to put this together. Prompt: "Generate a schema for an e-commerce site twice, one with the MCP server disabled, one with it enabled. Finally, run an assessment to compare the generated schemas." The run with the MCP server led to: - 420% more indexes (including partial and expression indexes) - 235% more constraints - 60% more tables (proper normalization) - 11 automation functions and triggers - Modern PG17 patterns throughout The MCP-assisted schema had proper data integrity, performance optimizations baked in, and followed naming conventions that actually make sense in production. pg-aiguide works with Claude Code, Cursor, VS Code, and any MCP-compatible tool. It's free and fully open source. I have shared the repo in the replies!

Avi Chawla

186,931 views • 7 months ago

What does it mean for software engineering when we no longer write the code? Here's the take from Boris Cherny (Boris Cherny), the creator of Claude Code. Timestamps: 00:00 Intro 11:15 Lessons from Meta 19:46 Joining Anthropic 23:08 The origins of Claude Code 32:55 Boris's Claude Code workflow 36:27 Parallel agents 40:25 Code reviews 47:18 Claude Code's architecture 52:38 Permissions and sandboxing 55:05 Engineering culture at Anthropic 1:05:15 Claude Cowork 1:12:48 Observability and privacy 1:14:45 Agent swarms 1:21:16 LLMs and the printing press analogy 1:30:16 Standout engineer archetypes 1:32:12 What skills still matter for engineers 1:35:24 Book recommendations Brought to you by: • Statsig — ⁠ The unified platform for flags, analytics, experiments, and more. • Sonar – The makers of SonarQube, the industry standard for automated code review. Proactively find and fix issues in real-time with the SonarQube MCP Server: • WorkOS – Everything you need to make your app enterprise ready. Three interesting things from this conversation: 1. Boris automated himself out of code review well before AI. Boris was one of the most prolific code reviewers at Meta company. And he worked hard to minimize time spent on code review. His system::every time he left the same kind of review comment, he logged it in a spreadsheet. Once a pattern hit 3-4 occurrences, he’d write a lint rule to automate it away! 2. PRDs are dead on the Claude Code team: prototypes replaced them. Instead of writing Product Requirement Documents (specs), they build hundreds of working prototypes before shipping a feature. Boris: “There’s just no way we could have shipped this if we started with static mocks and Figma or if we started with a PRD.” 3. This is the year of the generalist (and maybe the year of those with ADHD) Boris’s work has shifted from deep-focus single-threaded coding to managing multiple parallel agents and context-switching rapidly. As Boris put it: “It’s not so much about deep work, it’s about how good I am at context switching and jumping across multiple different contexts very quickly.”
1:37:58

What does it mean for software engineering when we no longer write the code? Here's the take from Boris Cherny (Boris Cherny), the creator of Claude Code. Timestamps: 00:00 Intro 11:15 Lessons from Meta 19:46 Joining Anthropic 23:08 The origins of Claude Code 32:55 Boris's Claude Code workflow 36:27 Parallel agents 40:25 Code reviews 47:18 Claude Code's architecture 52:38 Permissions and sandboxing 55:05 Engineering culture at Anthropic 1:05:15 Claude Cowork 1:12:48 Observability and privacy 1:14:45 Agent swarms 1:21:16 LLMs and the printing press analogy 1:30:16 Standout engineer archetypes 1:32:12 What skills still matter for engineers 1:35:24 Book recommendations Brought to you by: • Statsig — ⁠ The unified platform for flags, analytics, experiments, and more. • Sonar – The makers of SonarQube, the industry standard for automated code review. Proactively find and fix issues in real-time with the SonarQube MCP Server: • WorkOS – Everything you need to make your app enterprise ready. Three interesting things from this conversation: 1. Boris automated himself out of code review well before AI. Boris was one of the most prolific code reviewers at Meta company. And he worked hard to minimize time spent on code review. His system::every time he left the same kind of review comment, he logged it in a spreadsheet. Once a pattern hit 3-4 occurrences, he’d write a lint rule to automate it away! 2. PRDs are dead on the Claude Code team: prototypes replaced them. Instead of writing Product Requirement Documents (specs), they build hundreds of working prototypes before shipping a feature. Boris: “There’s just no way we could have shipped this if we started with static mocks and Figma or if we started with a PRD.” 3. This is the year of the generalist (and maybe the year of those with ADHD) Boris’s work has shifted from deep-focus single-threaded coding to managing multiple parallel agents and context-switching rapidly. As Boris put it: “It’s not so much about deep work, it’s about how good I am at context switching and jumping across multiple different contexts very quickly.”

Gergely Orosz

489,982 views • 5 months ago

google just released 15 AI tools that are completely FREE and can save thousands of $$$ every single monthly. all open-source. MIT licensed. save this in your bookmark." 1️⃣ pomelli ( builds your entire brand identity from just your website URL, then generates on-brand social posts, campaigns, and images. a free jasper + a junior brand marketer. no watermark, no gen cap in beta. 2️⃣ stitch ( describe an interface, get production-ready HTML/CSS/Tailwind + a figma export. google's free figma killer. 350 designs a month without paying a cent. 3️⃣ opal ( build no-code AI mini-apps and multi-step workflows just by describing them in plain english. basically a free n8n with Gemini baked in. no usage caps. 4️⃣ antigravity ( agentic IDE that plans, edits across files, and builds full apps from a single prompt. the "cursor-killer," free tier runs Gemini 3 Pro + Claude Sonnet 4.5. 5️⃣ mixboard ( canva x pinterest for AI. generate and remix images into moodboards, then edit right on the canvas with plain language. free while in beta. 6️⃣ disco ( turns your messy open browser tabs into custom interactive AI apps. competitor tabs become a comparison matrix, travel tabs become an itinerary. zero code. 7️⃣ notebookLM ( upload PDFs, videos, and notes, get instant summaries, mind maps, quizzes, even a podcast of your own material. replaces notion AI + perplexity + readwise. 8️⃣ Learn Your Way ( turns any topic into a personalized, AI-built course. immersive text, audio lessons, mind maps, and quizzes adapted to how you actually learn. free tutoring. 🔟 Google AI Studio ( prototype and ship AI apps in seconds with a free API key and a 1M-token context window. replaces the openai playground + paid API credits. 1️⃣1️⃣ Jules ( assign it a github issue, it spins up a VM, writes a plan, makes the changes, and opens a PR. a free devin. 15 tasks a day. 1️⃣2️⃣ Gemini CLI ( claude-code in your terminal. reads your codebase, runs commands, ships PRs. genuinely open source (Apache 2.0) and free. 1️⃣3️⃣ Code Wiki ( point it at any public github repo, get a living, self-updating wiki with architecture diagrams and a Gemini chat, every section hyperlinked to the code. 1️⃣4️⃣ Firebase Studio ( AI cockpit for your backend and cloud logic. heads up: existing users only, google is winding it down, so don't start a new project here. 1️⃣5️⃣ Gemini Code Assist ( free github copilot: 180k code completions a month + AI code reviews in VS Code, JetBrains, and github. the free tier that actually out-specs copilot. Follow me and turn on 🔔 post notifications.
0:47

google just released 15 AI tools that are completely FREE and can save thousands of $$$ every single monthly. all open-source. MIT licensed. save this in your bookmark." 1️⃣ pomelli ( builds your entire brand identity from just your website URL, then generates on-brand social posts, campaigns, and images. a free jasper + a junior brand marketer. no watermark, no gen cap in beta. 2️⃣ stitch ( describe an interface, get production-ready HTML/CSS/Tailwind + a figma export. google's free figma killer. 350 designs a month without paying a cent. 3️⃣ opal ( build no-code AI mini-apps and multi-step workflows just by describing them in plain english. basically a free n8n with Gemini baked in. no usage caps. 4️⃣ antigravity ( agentic IDE that plans, edits across files, and builds full apps from a single prompt. the "cursor-killer," free tier runs Gemini 3 Pro + Claude Sonnet 4.5. 5️⃣ mixboard ( canva x pinterest for AI. generate and remix images into moodboards, then edit right on the canvas with plain language. free while in beta. 6️⃣ disco ( turns your messy open browser tabs into custom interactive AI apps. competitor tabs become a comparison matrix, travel tabs become an itinerary. zero code. 7️⃣ notebookLM ( upload PDFs, videos, and notes, get instant summaries, mind maps, quizzes, even a podcast of your own material. replaces notion AI + perplexity + readwise. 8️⃣ Learn Your Way ( turns any topic into a personalized, AI-built course. immersive text, audio lessons, mind maps, and quizzes adapted to how you actually learn. free tutoring. 🔟 Google AI Studio ( prototype and ship AI apps in seconds with a free API key and a 1M-token context window. replaces the openai playground + paid API credits. 1️⃣1️⃣ Jules ( assign it a github issue, it spins up a VM, writes a plan, makes the changes, and opens a PR. a free devin. 15 tasks a day. 1️⃣2️⃣ Gemini CLI ( claude-code in your terminal. reads your codebase, runs commands, ships PRs. genuinely open source (Apache 2.0) and free. 1️⃣3️⃣ Code Wiki ( point it at any public github repo, get a living, self-updating wiki with architecture diagrams and a Gemini chat, every section hyperlinked to the code. 1️⃣4️⃣ Firebase Studio ( AI cockpit for your backend and cloud logic. heads up: existing users only, google is winding it down, so don't start a new project here. 1️⃣5️⃣ Gemini Code Assist ( free github copilot: 180k code completions a month + AI code reviews in VS Code, JetBrains, and github. the free tier that actually out-specs copilot. Follow me and turn on 🔔 post notifications.

m0h

77,102 views • 8 days ago

CLAUDE "SKILLS" BUILT ME AN AI AGENT ARMY in 33 minutes Claude Skills fix one of the biggest problems in AI.... context rot. when you overload a model with long prompts, scattered files, and inconsistent instructions, it BREAKS. Claude Skills solve that by packaging everything an AI needs into one structured workflow. each Claude Skill includes: 1. instructions that define the role and process 2. reference materials that capture brand voice, examples, and style 3. code scripts that handle data and make outputs deterministic together, they act like a trained employee...reliable, consistent, and specialized. instead of dumping chaos into a chatbot, you’re building a clear operating system for how work gets done. in this The Startup Ideas Podcast (SIP) 🧃 episode, we built an entire team of AI employees inside Claude using Claude Skills. each had a specific job and worked in sync: – one generated UTM links and tracked campaign performance automatically – one ran A/B test idea generation using real website data and the ICE framework – one analyzed marketing reports, pulling actual numbers from CSVs and surfacing insights – one turned viral tweets into newsletters that matched my tone and writing style perfectly we then layered in sub-agents basically smaller Claude instances that split large tasks into specialized roles and passed results back. the result is a new kind of reliability. you can automate marketing, content creation, analytics, and reporting without losing accuracy, consistency, or creativity. Claude Skills turn messy, repeatable work into clean, reusable systems that anyone can deploy. in this episode, we walk through the full build writing the instructions, linking sub-agents, connecting data, and watching them collaborate in real time. thanks to amirmxt for dropping this sauce. most people charge thousands to teach this kind of AI systems design. this one’s free. watch the full masterclass on The Startup Ideas Podcast (SIP) 🧃 below on X or YouTube ( . claude skills isn't perfect but it's a step in the right direction pretty cool many will bookmark this but never try it but the key is getting your hands dirty learn and lightbulb moments will hit IM ROOTING FOR YOU
33:05

CLAUDE "SKILLS" BUILT ME AN AI AGENT ARMY in 33 minutes Claude Skills fix one of the biggest problems in AI.... context rot. when you overload a model with long prompts, scattered files, and inconsistent instructions, it BREAKS. Claude Skills solve that by packaging everything an AI needs into one structured workflow. each Claude Skill includes: 1. instructions that define the role and process 2. reference materials that capture brand voice, examples, and style 3. code scripts that handle data and make outputs deterministic together, they act like a trained employee...reliable, consistent, and specialized. instead of dumping chaos into a chatbot, you’re building a clear operating system for how work gets done. in this The Startup Ideas Podcast (SIP) 🧃 episode, we built an entire team of AI employees inside Claude using Claude Skills. each had a specific job and worked in sync: – one generated UTM links and tracked campaign performance automatically – one ran A/B test idea generation using real website data and the ICE framework – one analyzed marketing reports, pulling actual numbers from CSVs and surfacing insights – one turned viral tweets into newsletters that matched my tone and writing style perfectly we then layered in sub-agents basically smaller Claude instances that split large tasks into specialized roles and passed results back. the result is a new kind of reliability. you can automate marketing, content creation, analytics, and reporting without losing accuracy, consistency, or creativity. Claude Skills turn messy, repeatable work into clean, reusable systems that anyone can deploy. in this episode, we walk through the full build writing the instructions, linking sub-agents, connecting data, and watching them collaborate in real time. thanks to amirmxt for dropping this sauce. most people charge thousands to teach this kind of AI systems design. this one’s free. watch the full masterclass on The Startup Ideas Podcast (SIP) 🧃 below on X or YouTube ( . claude skills isn't perfect but it's a step in the right direction pretty cool many will bookmark this but never try it but the key is getting your hands dirty learn and lightbulb moments will hit IM ROOTING FOR YOU

GREG ISENBERG

189,753 views • 9 months ago

MASTER CLAUDE FOR MARKETING IN 72 MINUTES, ZERO CODE. ONE FREE COURSE JUST DROPPED. Agencies charge $10K/month to run this stack. This hands you the entire marketing system. Not one line of code. The 72-minute marketing money map, by timestamp: 00:00 - what you'll learn 01:07 - grab the free resource pack 02:32 - install Claude and turn on Cowork 03:17 - set up your workspace (CLAUDE.md + memory) 09:38 - what a skill actually is 11:29 - build your 4 content voice skills 17:12 - the content repurposing skill 20:00 - set up Firecrawl for web scraping 23:10 - generate images and videos with Higgsfield 28:21 - infographic skills 31:49 - product infographic skill 34:17 - product-to-ad UGC video skill 38:11 - find customers and leads with Clay 46:26 - build a live dashboard artifact 48:44 - store data with Supabase 51:42 - build your own content tracker 54:45 - connect any app with Zapier 58:21 - schedule and auto-post with Blotato 1:04:21 - AI SEO with SEMrush 1:11:19 - final words 72 free minutes here replace a $2,000 "AI marketing" cohort. One person + Claude + a weekend = a full marketing team while others still boost posts. Save it, watch today, ship your first skill before the week ends.
1:12:15

MASTER CLAUDE FOR MARKETING IN 72 MINUTES, ZERO CODE. ONE FREE COURSE JUST DROPPED. Agencies charge $10K/month to run this stack. This hands you the entire marketing system. Not one line of code. The 72-minute marketing money map, by timestamp: 00:00 - what you'll learn 01:07 - grab the free resource pack 02:32 - install Claude and turn on Cowork 03:17 - set up your workspace (CLAUDE.md + memory) 09:38 - what a skill actually is 11:29 - build your 4 content voice skills 17:12 - the content repurposing skill 20:00 - set up Firecrawl for web scraping 23:10 - generate images and videos with Higgsfield 28:21 - infographic skills 31:49 - product infographic skill 34:17 - product-to-ad UGC video skill 38:11 - find customers and leads with Clay 46:26 - build a live dashboard artifact 48:44 - store data with Supabase 51:42 - build your own content tracker 54:45 - connect any app with Zapier 58:21 - schedule and auto-post with Blotato 1:04:21 - AI SEO with SEMrush 1:11:19 - final words 72 free minutes here replace a $2,000 "AI marketing" cohort. One person + Claude + a weekend = a full marketing team while others still boost posts. Save it, watch today, ship your first skill before the week ends.

shmidt

15,848 views • 25 days ago

Bitcoin to End Wars? 🚨 Federal Reserve to Start World War III? 🌍 (Private Central Banks & Warfare 🌐) 🤖 *Robotic Crypto Trader ► ⭐⭐ AI-Driven Trading Bot! (GoBabyTrade!!) ✔️ Profits while you sleep! 24/7 crypto trading! ✔️ Simply connect your Coinbase and start “default”! ⚡💰 Exclusive limited-time offer: *Get $1,000 off!!* … *Start now!: ⭐ ➜ 🚀 … Weekly Webinar!: ⭐ 👽 *Uphold⁺ ► ⭐⭐ Game-changing web3 financial platform! ✔️ #1 All-In-One: buy, sell, trade, store, manage! ✔️ Fully reserved, radically transparent, proof online! ✔️ Connected to 30+ providers, deep liquidity! ⚡💰 *Up to 4.65%* on USD balances! (FDIC Insured!) … *Sign up now! ⭐ ➜* 💳 *Tangem Card ► ⭕ *Tangem Ring ► ⭐⭐ Easiest hardware wallet, portable style!! ✔️ Simply tap to your phone and you’re in! ✔️ Low cost, must-have! Access all crypto! ⚡💰 *Get 5% off!!* Promo Code: CRYPTOCASEY5 … *Order now!: ⭐ ➜ 🔐 *Ledger Wallets ► ⭐⭐ NEW!! Ledger Stax & Flex On Sale NOW!! ✔️ Highest security, secure touch screen! ✔️ Full ecosystem, 1000's of coins/tokens! ✔️ Advanced management of your assets! ⚡🎁 Holiday Special: *Up to $70 in FREE BTC!!* … *Order now!: ⭐ ➜ ▬▬▬▬▬ “PRIVATE CENTRAL BANKS FUND WARS!” 😡 TO ENSLAVE THE WORLD 🌏 Hello, fam! Crypto Casey here 👋 and I'm on a mission to improve people’s lives through #crypto education. In this video, we explore how private central banks have been enslaving the world for centuries, highlighting the importance of bitcoin. ▬▬▬▬▬ TOP CRYPTO TOOLS TO GET TODAY! 💥💥⚡ ⭐👽 *Uphold⁺ ► Game-changing web3 financial platform! Rivals banks! ⚡💰 *Up to 4.65%* on USD balances! (FDIC Insured!) ✔️ #1 All-In-One: buy, sell, trade, store, manage! 💳 *Tangem Card ► ⭕ *Tangem Ring ► Easiest hardware wallets! Fully portable! ⚡💰 *Get 5% off!!* Promo Code: CRYPTOCASEY5 ✔️ Simply tap and you're in! Sleek, stylish! ⚡🔐 *Ledger Wallets ► NEW!! Ledger Stax & Flex On Sale NOW!! ⚡🎁 Holiday Special: *Up to $70 in FREE BTC!!* ✔️ Highest security, secure touch screen! ▬▬▬▬▬ SET UP YOUR TRADING BOT TODAY!! 💥💥🚀 🤖 *Robotic Crypto Trader ► Automated AI-Driven Trading Bot! (GoBabyTrade!!) ⚡💰 Exclusive limited-time offer: *Get $1,000 off!!* ✔️ Profits while you sleep! 24/7 crypto trading! BUY NOW! ► FULL REVIEW! ► *WEEKLY WEBINAR!* ► CONNECT BOT TO YOUR TRADING ACCOUNT! ⭐ 🧿 Coinbase ► ⭐ 🐙 Kraken Pro ► ▬▬▬▬▬ CHAPTERS 💬 (Watch to the end!) 00:00 - Another World War? 02:40 - Currency Act 04:50 - Ignorance of Coin & Credit 06:25 - History Repeating 07:31 - First Bank of United States 08:00 - War of 1812 08:40 - Second Bank of United States 10:13 - Civil War & Assassinations 12:40 - Third Bank of United States 13:25 - Next Generation of Banking 14:35 - Federal Reserve 16:20 - World War I 17:35 - World War II 18:40 - John F Kennedy 19:40 - Off Gold Standard 22:10 - World War III 24:15 - Transfer Crypto to Wallet ▬▬▬▬▬ FOLLOW MY ONLY OFFICIAL CHANNELS! 📢 ⭐ Linktree (Deals) ► ⭐ TikTok ► ⭐ Twitter ► ⭐ Instagram ► ⭐ Podcast ► ⭐ Facebook ► ▬▬▬▬▬ TAGS: #cryptocurrency #bitcoin #cryptocasey NOTE: This description contains affiliate links. If you purchase a product through one of them, I will receive a commission (at no additional cost to you). Thanks for supporting the channel! ⁺UPHOLD DISCLAIMER: Terms Apply. Capital at risk. Don’t invest unless you’re prepared to lose all the money you invest. This is a high-risk investment and you should not expect to be protected if something goes wrong. Balances $1,000 or more earn 4.65% APY; under $1,000 earn 2% APY. Rates subject to change. Cash deposited in the USD Interest Account solely for the purpose of accessing the Cash Sweep Program is not protected by SIPC or FDIC; you are able to have up to $2,500,000 FDIC insurance when your cash is swept into the program banks. See Atomic Cash Sweep Terms & Conditions and full details and disclosures. DISCLAIMER: The information contained herein is for informational purposes only and not to be construed as financial, legal or tax advice. The content of this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Trading cryptocurrencies poses considerable risk of loss. The speaker does not guarantee any particular outcome. © 2024 Crypto Casey. All rights reserved ▬▬▬▬▬ ❤️ Be safe out there. —Crypto Casey
25:24

Bitcoin to End Wars? 🚨 Federal Reserve to Start World War III? 🌍 (Private Central Banks & Warfare 🌐) 🤖 *Robotic Crypto Trader ► ⭐⭐ AI-Driven Trading Bot! (GoBabyTrade!!) ✔️ Profits while you sleep! 24/7 crypto trading! ✔️ Simply connect your Coinbase and start “default”! ⚡💰 Exclusive limited-time offer: *Get $1,000 off!!* … *Start now!: ⭐ ➜ 🚀 … Weekly Webinar!: ⭐ 👽 *Uphold⁺ ► ⭐⭐ Game-changing web3 financial platform! ✔️ #1 All-In-One: buy, sell, trade, store, manage! ✔️ Fully reserved, radically transparent, proof online! ✔️ Connected to 30+ providers, deep liquidity! ⚡💰 *Up to 4.65%* on USD balances! (FDIC Insured!) … *Sign up now! ⭐ ➜* 💳 *Tangem Card ► ⭕ *Tangem Ring ► ⭐⭐ Easiest hardware wallet, portable style!! ✔️ Simply tap to your phone and you’re in! ✔️ Low cost, must-have! Access all crypto! ⚡💰 *Get 5% off!!* Promo Code: CRYPTOCASEY5 … *Order now!: ⭐ ➜ 🔐 *Ledger Wallets ► ⭐⭐ NEW!! Ledger Stax & Flex On Sale NOW!! ✔️ Highest security, secure touch screen! ✔️ Full ecosystem, 1000's of coins/tokens! ✔️ Advanced management of your assets! ⚡🎁 Holiday Special: *Up to $70 in FREE BTC!!* … *Order now!: ⭐ ➜ ▬▬▬▬▬ “PRIVATE CENTRAL BANKS FUND WARS!” 😡 TO ENSLAVE THE WORLD 🌏 Hello, fam! Crypto Casey here 👋 and I'm on a mission to improve people’s lives through #crypto education. In this video, we explore how private central banks have been enslaving the world for centuries, highlighting the importance of bitcoin. ▬▬▬▬▬ TOP CRYPTO TOOLS TO GET TODAY! 💥💥⚡ ⭐👽 *Uphold⁺ ► Game-changing web3 financial platform! Rivals banks! ⚡💰 *Up to 4.65%* on USD balances! (FDIC Insured!) ✔️ #1 All-In-One: buy, sell, trade, store, manage! 💳 *Tangem Card ► ⭕ *Tangem Ring ► Easiest hardware wallets! Fully portable! ⚡💰 *Get 5% off!!* Promo Code: CRYPTOCASEY5 ✔️ Simply tap and you're in! Sleek, stylish! ⚡🔐 *Ledger Wallets ► NEW!! Ledger Stax & Flex On Sale NOW!! ⚡🎁 Holiday Special: *Up to $70 in FREE BTC!!* ✔️ Highest security, secure touch screen! ▬▬▬▬▬ SET UP YOUR TRADING BOT TODAY!! 💥💥🚀 🤖 *Robotic Crypto Trader ► Automated AI-Driven Trading Bot! (GoBabyTrade!!) ⚡💰 Exclusive limited-time offer: *Get $1,000 off!!* ✔️ Profits while you sleep! 24/7 crypto trading! BUY NOW! ► FULL REVIEW! ► *WEEKLY WEBINAR!* ► CONNECT BOT TO YOUR TRADING ACCOUNT! ⭐ 🧿 Coinbase ► ⭐ 🐙 Kraken Pro ► ▬▬▬▬▬ CHAPTERS 💬 (Watch to the end!) 00:00 - Another World War? 02:40 - Currency Act 04:50 - Ignorance of Coin & Credit 06:25 - History Repeating 07:31 - First Bank of United States 08:00 - War of 1812 08:40 - Second Bank of United States 10:13 - Civil War & Assassinations 12:40 - Third Bank of United States 13:25 - Next Generation of Banking 14:35 - Federal Reserve 16:20 - World War I 17:35 - World War II 18:40 - John F Kennedy 19:40 - Off Gold Standard 22:10 - World War III 24:15 - Transfer Crypto to Wallet ▬▬▬▬▬ FOLLOW MY ONLY OFFICIAL CHANNELS! 📢 ⭐ Linktree (Deals) ► ⭐ TikTok ► ⭐ Twitter ► ⭐ Instagram ► ⭐ Podcast ► ⭐ Facebook ► ▬▬▬▬▬ TAGS: #cryptocurrency #bitcoin #cryptocasey NOTE: This description contains affiliate links. If you purchase a product through one of them, I will receive a commission (at no additional cost to you). Thanks for supporting the channel! ⁺UPHOLD DISCLAIMER: Terms Apply. Capital at risk. Don’t invest unless you’re prepared to lose all the money you invest. This is a high-risk investment and you should not expect to be protected if something goes wrong. Balances $1,000 or more earn 4.65% APY; under $1,000 earn 2% APY. Rates subject to change. Cash deposited in the USD Interest Account solely for the purpose of accessing the Cash Sweep Program is not protected by SIPC or FDIC; you are able to have up to $2,500,000 FDIC insurance when your cash is swept into the program banks. See Atomic Cash Sweep Terms & Conditions and full details and disclosures. DISCLAIMER: The information contained herein is for informational purposes only and not to be construed as financial, legal or tax advice. The content of this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Trading cryptocurrencies poses considerable risk of loss. The speaker does not guarantee any particular outcome. © 2024 Crypto Casey. All rights reserved ▬▬▬▬▬ ❤️ Be safe out there. —Crypto Casey

Crypto Casey

32,832 views • 1 year ago

most traders pay $3,000+/month for tools GitHub replaced for free. 9 repos. zero subscriptions. 1. OpenBB → replaces Bloomberg Terminal ($2,000/mo) financial data platform built for AI agents and quants connects natively to claude via MCP. most people don't know this. 2. freqtrade → replaces paid crypto bot services ($100/mo) ML strategy optimization. runs on binance, bybit, hyperliquid and 10+ others 34,000 stars. free and always will be. 3. hummingbot → replaces HFT bot platforms ($200/mo) $34B+ in user-generated trading volume has a native claude MCP integration. connect your AI directly to 140+ exchanges. 4. FinGPT → replaces financial AI subscriptions ($150/mo) open-source LLMs that outperform GPT-4 on market sentiment bloomberg spent $3M training theirs. this costs $17 to fine-tune. 5. NautilusTrader → replaces institutional trading platforms ($500/mo) production-grade. rust-native. fast enough to train RL trading agents same codebase for backtesting and live. zero rewrite needed. 6. QuantConnect Lean → replaces paid quant research platforms ($100/mo) professional algo trading engine. python + C# from backtest to live in one click. used by 200K+ quants worldwide. 7. jesse → replaces TradingView algo subscriptions ($25/mo) advanced crypto trading framework for serious strategy builders clean. powerful. no bloat. 8. vectorbt → replaces paid backtesting tools ($80/mo) fastest backtesting library in existence tests thousands of strategies in seconds. pandas-based. 9. FinRL → replaces custom AI trading infrastructure ($300/mo) financial reinforcement learning. train your own trading AI. from the same team behind FinGPT. 10. AlphaCartel Setup → replaces hedge fund signal services ($300/mo) this is where all 9 repos above connect into one working system claude-powered bots. live signals. no-code setup. community of traders already printing. total before: ~$3,455/month total now: $0 + alphacartel like + bookmark. you'll need this.
0:58

most traders pay $3,000+/month for tools GitHub replaced for free. 9 repos. zero subscriptions. 1. OpenBB → replaces Bloomberg Terminal ($2,000/mo) financial data platform built for AI agents and quants connects natively to claude via MCP. most people don't know this. 2. freqtrade → replaces paid crypto bot services ($100/mo) ML strategy optimization. runs on binance, bybit, hyperliquid and 10+ others 34,000 stars. free and always will be. 3. hummingbot → replaces HFT bot platforms ($200/mo) $34B+ in user-generated trading volume has a native claude MCP integration. connect your AI directly to 140+ exchanges. 4. FinGPT → replaces financial AI subscriptions ($150/mo) open-source LLMs that outperform GPT-4 on market sentiment bloomberg spent $3M training theirs. this costs $17 to fine-tune. 5. NautilusTrader → replaces institutional trading platforms ($500/mo) production-grade. rust-native. fast enough to train RL trading agents same codebase for backtesting and live. zero rewrite needed. 6. QuantConnect Lean → replaces paid quant research platforms ($100/mo) professional algo trading engine. python + C# from backtest to live in one click. used by 200K+ quants worldwide. 7. jesse → replaces TradingView algo subscriptions ($25/mo) advanced crypto trading framework for serious strategy builders clean. powerful. no bloat. 8. vectorbt → replaces paid backtesting tools ($80/mo) fastest backtesting library in existence tests thousands of strategies in seconds. pandas-based. 9. FinRL → replaces custom AI trading infrastructure ($300/mo) financial reinforcement learning. train your own trading AI. from the same team behind FinGPT. 10. AlphaCartel Setup → replaces hedge fund signal services ($300/mo) this is where all 9 repos above connect into one working system claude-powered bots. live signals. no-code setup. community of traders already printing. total before: ~$3,455/month total now: $0 + alphacartel like + bookmark. you'll need this.

AI Bulls

106,909 views • 3 months ago

THIS MIGHT BE THE #1 OPEN-SOURCE REPO FOR CLAUDE CODE RIGHT NOW. IT GIVES CLAUDE A MEMORY AND SLASHES YOUR TOKEN COST ON EVERY QUESTION The repo is safishamsi/graphify, a free open-source skill that turns any codebase into a knowledge graph Claude Code can read instantly. Instead of grepping through your files every session, Claude gets a map of how everything connects The problem it fixes: Every time you ask Claude Code about a big repo, it does the same thing, greps through dozens of files like a brute-force Ctrl+F, blows through your context window, and sometimes still misses the answer hiding in a file nobody searched. Claude Code has no memory of how your project is structured. Every session starts from zero What it does: It maps your entire codebase into a knowledge graph, capturing not just which files exist, but which functions depend on which, which modules are central, and which files cluster around the same concern. Claude queries the map instead of scanning files How it works, three passes: 1. Code structure, free and local. Tree-sitter parses your files and pulls out classes, functions, imports and call graphs. No LLM, no tokens, just your actual code mapped deterministically 2. Audio and video, if you have them. Transcribed locally and folded into the graph 3. Docs, papers, images. Here an LLM does semantic analysis, figuring out what each document means and where it fits. Only the meaning gets sent up, never your raw source It saves you money: Normally a question about a big repo makes Claude spawn explore agents that scan file after file, eating your context window and your token budget before you get an answer. With the graph already built, Claude queries the map instead of re-reading the codebase every time. Same answer, a fraction of the tokens. The graph only gets built once, then a hook rebuilds it after each commit for free, so you never pay that scanning cost again. The bigger the repo, the bigger the gap The best parts: it's a skill, so once installed Claude knows when to use it without you memorizing commands. It works on non-code folders too, point it at docs or notes and it can spin up an Obsidian vault How to add it to your Claude: 1. Install Claude Code if you haven't: npm install -g Paul Jankura-ai/claude-code 2. Add the skill: claude skill add safishamsi/graphify 3. Open your project folder and run /graphify . to build the graph 4. Optional, make it automatic: graphify hook install so the graph rebuilds after every commit That's it. Ask Claude about your repo and it reads the map instead of burning tokens on a file hunt Bookmark this
13:23

THIS MIGHT BE THE #1 OPEN-SOURCE REPO FOR CLAUDE CODE RIGHT NOW. IT GIVES CLAUDE A MEMORY AND SLASHES YOUR TOKEN COST ON EVERY QUESTION The repo is safishamsi/graphify, a free open-source skill that turns any codebase into a knowledge graph Claude Code can read instantly. Instead of grepping through your files every session, Claude gets a map of how everything connects The problem it fixes: Every time you ask Claude Code about a big repo, it does the same thing, greps through dozens of files like a brute-force Ctrl+F, blows through your context window, and sometimes still misses the answer hiding in a file nobody searched. Claude Code has no memory of how your project is structured. Every session starts from zero What it does: It maps your entire codebase into a knowledge graph, capturing not just which files exist, but which functions depend on which, which modules are central, and which files cluster around the same concern. Claude queries the map instead of scanning files How it works, three passes: 1. Code structure, free and local. Tree-sitter parses your files and pulls out classes, functions, imports and call graphs. No LLM, no tokens, just your actual code mapped deterministically 2. Audio and video, if you have them. Transcribed locally and folded into the graph 3. Docs, papers, images. Here an LLM does semantic analysis, figuring out what each document means and where it fits. Only the meaning gets sent up, never your raw source It saves you money: Normally a question about a big repo makes Claude spawn explore agents that scan file after file, eating your context window and your token budget before you get an answer. With the graph already built, Claude queries the map instead of re-reading the codebase every time. Same answer, a fraction of the tokens. The graph only gets built once, then a hook rebuilds it after each commit for free, so you never pay that scanning cost again. The bigger the repo, the bigger the gap The best parts: it's a skill, so once installed Claude knows when to use it without you memorizing commands. It works on non-code folders too, point it at docs or notes and it can spin up an Obsidian vault How to add it to your Claude: 1. Install Claude Code if you haven't: npm install -g Paul Jankura-ai/claude-code 2. Add the skill: claude skill add safishamsi/graphify 3. Open your project folder and run /graphify . to build the graph 4. Optional, make it automatic: graphify hook install so the graph rebuilds after every commit That's it. Ask Claude about your repo and it reads the map instead of burning tokens on a file hunt Bookmark this

Yarchi

55,345 views • 1 month ago

i cancelled $2,000/month in trading subscriptions replaced every single one with open-source repos here's the full stack: 1. TradingView Pro ($30/mo) → lightweight-charts 14K stars. by TradingView themselves. 45KB. free 2. Bloomberg Terminal ($2,000/mo) → fredapi + Claude every macro dataset the Fed publishes. free API 3. backtest platform ($100/mo) → prediction-market-backtesting NautilusTrader fork with Polymarket + Kalshi adapters 4. real-time dashboard → polyrec terminal UI: Chainlink oracle, Binance feed, orderbook depth 70+ indicators. auto CSV logging. strategy backtester 5. bot framework (7 strategies) → Polymarket-Trading-Bot 53K lines TypeScript. arbitrage, momentum, market making, AI forecast, whale copy-trade, convergence 6. strategy reverse engineering → polybot execution + market data infrastructure. paper trading Kafka, ClickHouse, Grafana. full analytics pipeline 7. paper trading for AI agents → polymarket-paper-trader real order books. exact fee model. slippage tracking your Claude agent gets $10K paper money and trades 8. token savings → rtk CLI proxy. cuts Claude Code tokens by 60-90% Rust. single binary. 10 AI tools supported 9. Claude Code itself ($200/mo) → goose 35K stars. by Block (Jack Dorsey). Rust works with any LLM. full agent loop. free 10. wallet tracking + copy trading → Kreo track top Polymarket wallets. auto copy trades the only tool on this list i actually pay for because it makes more than it costs total before: ~$2,600/month total now: $0 + Kreo bookmark this. you'll need it
0:49

i cancelled $2,000/month in trading subscriptions replaced every single one with open-source repos here's the full stack: 1. TradingView Pro ($30/mo) → lightweight-charts 14K stars. by TradingView themselves. 45KB. free 2. Bloomberg Terminal ($2,000/mo) → fredapi + Claude every macro dataset the Fed publishes. free API 3. backtest platform ($100/mo) → prediction-market-backtesting NautilusTrader fork with Polymarket + Kalshi adapters 4. real-time dashboard → polyrec terminal UI: Chainlink oracle, Binance feed, orderbook depth 70+ indicators. auto CSV logging. strategy backtester 5. bot framework (7 strategies) → Polymarket-Trading-Bot 53K lines TypeScript. arbitrage, momentum, market making, AI forecast, whale copy-trade, convergence 6. strategy reverse engineering → polybot execution + market data infrastructure. paper trading Kafka, ClickHouse, Grafana. full analytics pipeline 7. paper trading for AI agents → polymarket-paper-trader real order books. exact fee model. slippage tracking your Claude agent gets $10K paper money and trades 8. token savings → rtk CLI proxy. cuts Claude Code tokens by 60-90% Rust. single binary. 10 AI tools supported 9. Claude Code itself ($200/mo) → goose 35K stars. by Block (Jack Dorsey). Rust works with any LLM. full agent loop. free 10. wallet tracking + copy trading → Kreo track top Polymarket wallets. auto copy trades the only tool on this list i actually pay for because it makes more than it costs total before: ~$2,600/month total now: $0 + Kreo bookmark this. you'll need it

self.dll

803,521 views • 3 months ago

I just built a Claude Code plugin that runs your entire Meta ads workflow 🤯 5 skills, one plugin: it spies on competitors, maps your whole category, writes your ad copy, grades it before launch, and audits your live ad account like a $10K agency. All inside Claude Code. And now, with Claude Fable 5, it's even more insane. Perfect for DTC brands, media buyers, and agencies tired of paying for 5 different ad tools that don't talk to each other. If you're spending hours scrolling the Ad Library by hand, exporting CSVs from Ads Manager every Monday, staring at a blank doc trying to write ad variation #14, launching creative and praying it converts... This plugin eliminates the entire loop: → /spy pulls every active ad a competitor is running, ranked by run-time (longevity = proven winners) → /competitors-extractor maps 3-5 brands head-to-head and finds the angles nobody's running → /bulk-creative spins 20 on-brand copy variations off the winning angle → /ad-score grades every ad 0-100 across 6 dimensions before you spend a cent → /ad-matter audits your live Meta account through Meta's official MCP and hands you a prioritized fix list No more Ad Library scrolling. No more $300/mo spy tools. No more launching blind. What you get: → Competitor intel ranked by what's actually been running longest → The open angles in your category nobody is using yet → 20 ad variations in your brand voice, on command → A 0-100 health score on your live ad account with a fix-this-week list Built 100% in Claude Code. I wrote a free step-by-step Playbook that walks you through building this entire plugin yourself: every skill, every script, every scoring rubric. Want access for free? >Like this post > Comment "SCALE" And I'll send it over (must be following so I can DM)
0:27

I just built a Claude Code plugin that runs your entire Meta ads workflow 🤯 5 skills, one plugin: it spies on competitors, maps your whole category, writes your ad copy, grades it before launch, and audits your live ad account like a $10K agency. All inside Claude Code. And now, with Claude Fable 5, it's even more insane. Perfect for DTC brands, media buyers, and agencies tired of paying for 5 different ad tools that don't talk to each other. If you're spending hours scrolling the Ad Library by hand, exporting CSVs from Ads Manager every Monday, staring at a blank doc trying to write ad variation #14, launching creative and praying it converts... This plugin eliminates the entire loop: → /spy pulls every active ad a competitor is running, ranked by run-time (longevity = proven winners) → /competitors-extractor maps 3-5 brands head-to-head and finds the angles nobody's running → /bulk-creative spins 20 on-brand copy variations off the winning angle → /ad-score grades every ad 0-100 across 6 dimensions before you spend a cent → /ad-matter audits your live Meta account through Meta's official MCP and hands you a prioritized fix list No more Ad Library scrolling. No more $300/mo spy tools. No more launching blind. What you get: → Competitor intel ranked by what's actually been running longest → The open angles in your category nobody is using yet → 20 ad variations in your brand voice, on command → A 0-100 health score on your live ad account with a fix-this-week list Built 100% in Claude Code. I wrote a free step-by-step Playbook that walks you through building this entire plugin yourself: every skill, every script, every scoring rubric. Want access for free? >Like this post > Comment "SCALE" And I'll send it over (must be following so I can DM)

Mike Futia

33,458 views • 1 month ago

The Laws That Could Break the Banking System: GENIUS & CLARITY Acts — Banks War Against Stablecoins The banking Cartel is officially going DEFCON 1. 🚨 They are losing the digital arms race, and they’ve spent millions on lobbyists to build a wall around your financial sovereignty. The CLARITY Act is the battleground. Here is what they don't want you to know. 🧵👇 💳 *Tangem Card ► ⭕ *Tangem Ring ► ⭐⭐ Easiest hardware wallet, portable style!! ✔️ Simply tap to your phone and you’re in! ✔️ Low cost, must-have! Access all crypto! ⚡💰 *Get 30% off!!* Promo Code: CRYPTOCASEY … *Order now!: ⭐ ➜ 💥💳 *Tangem Pay ► NEW!! Visa card powered by your Tangem Wallet! ⚡💰 *Early access* — join the waitlist NOW! ✔️ Top up with stablecoins, spend instantly! 🤖 *GoBabyTrade ► ⭐⭐ AI-Driven Trading Bot + DCA Tool! ✔️ Profits while you sleep! 24/7 crypto trading! ✔️ Simply connect your Coinbase and go “default”! ⚡💰 Exclusive limited-time offer: *Get $1,000 off!!* … *Start now!: ⭐ ➜ 🚀 … Weekly Webinar!: ⭐ 👽 *Uphold⁺ ► ⭐⭐ Game-changing web3 financial platform! ✔️ #1 All-In-One: buy, sell, trade, stake, store! ✔️ 100%+ reserved, fully backed, deep liquidity! ✔️ Up to 4.50% USD balances! (FDIC Insured!) ⚡💰 Limited-Time: *Trade $100, get $20 FREE!!* … *Sign up now! ⭐ ➜* 💥👽 *Uphold Debit Card ► NEW!! Visa card powered by your Uphold account! ⚡💰 Up to *6% XRP* on everything you buy! ✔️ Metal card option! Just top up and spend! ▬▬▬ “BANKS ARE PANICKING” 🚨 NEW FINANCIAL SYSTEM UNDERWAY 💥 Hello, fam! Crypto Casey here 👋 and I'm on a mission to improve people’s lives through #crypto education. The global financial system is entering a historic turning point as stablecoins, decentralized finance, and new legislation threaten the traditional banking model built on fractional reserves and hidden fees. In this video we break down the GENIUS Act, the CLARITY Act, why banks are going DEFCON 1 to stop them, and how blockchain technology may ultimately reshape the future of money and financial sovereignty... Let’s hit it! ▬▬▬ TOP CRYPTO TOOLS TO GET TODAY! 💥💥⚡ 🔥💳 *Black Friday! ► 💳 *Tangem Card ► 💥 *Tangem Pay ► ⭕ *Tangem Ring ► 🤖 *GoBabyTrade ► 👽 *Uphold⁺ ► 💥👽 *Uphold Debit Card ► 🚀 *Money Line Indicator ► ▬▬▬ SET UP YOUR TRADING BOT TODAY!! 💥💥🚀 🤖 *GoBabyTrade ► Automated AI-Driven Trading Bot + DCA Tool! ⚡💰 Exclusive limited-time offer: *Get $1,000 off!!* ✔️ Profits while you sleep! 24/7 crypto trading! BUY NOW! ► FULL REVIEW! ► *WEEKLY WEBINAR!* ► CONNECT BOT TO YOUR TRADING ACCOUNT! ⭐ 🧿 Coinbase ► ⭐ 🐙 Kraken Pro ► ▬▬▬ CHAPTERS 💬 00:00 - Traditional Banking Scam 02:25 - 3 Steps to Escape 03:34 - GENIUS Act 05:50 - CLARITY Act 07:30 - Banks Lobbying Washington 08:45 - How Banks Make Profit 11:05 - Big Win for DeFi 11:05 - Cyber Warfare Threat 13:05 - Paradigm Shift 14:35 - Become Financially Sovereign 15:50 - Build Wealth with AI ▬▬▬ FOLLOW MY ONLY OFFICIAL CHANNELS! 📢 🔥 Linktree (Deals) ► ⭐ TikTok ► ⭐ Twitter ► ⭐ Instagram ► ⭐ Rumble ► ⭐ Facebook ► ⭐ Newsletter Sign-up ► ▬▬▬ TAGS: #Bitcoin #Crypto #Stablecoins #BankingSystem #FinancialSovereignty #DeFi #DecentralizedFinance #GENIUSAct #CLARITYAct #CryptoRegulation #CryptoNews #FinancialFreedom #Blockchain #CryptoCasey #CentralBanks #BankingCartel #DigitalFinance #FutureOfMoney #CryptoAdoption #CryptoRevolution TOPICS: Bitcoin, crypto, stablecoins, decentralized finance, DeFi, banking system, fractional reserve banking, financial sovereignty, GENIUS Act, CLARITY Act, crypto regulation, banking cartel, stablecoin regulation, blockchain finance, future of money, crypto news, financial freedom, central banks, crypto adoption, digital finance, crypto Casey, next generation finance NOTE: This description contains affiliate links. If you purchase a product through one of them, I will receive a commission (at no additional cost to you). Thanks for supporting the channel! DISCLAIMER: The information contained herein is for informational purposes only and not to be construed as financial, legal or tax advice. The content of this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Trading cryptocurrencies poses considerable risk of loss. The speaker does not guarantee any particular outcome. © 2025 Crypto Casey. All rights reserved ▬▬▬ ❤️ Be safe out there. —Crypto Casey
16:46

The Laws That Could Break the Banking System: GENIUS & CLARITY Acts — Banks War Against Stablecoins The banking Cartel is officially going DEFCON 1. 🚨 They are losing the digital arms race, and they’ve spent millions on lobbyists to build a wall around your financial sovereignty. The CLARITY Act is the battleground. Here is what they don't want you to know. 🧵👇 💳 *Tangem Card ► ⭕ *Tangem Ring ► ⭐⭐ Easiest hardware wallet, portable style!! ✔️ Simply tap to your phone and you’re in! ✔️ Low cost, must-have! Access all crypto! ⚡💰 *Get 30% off!!* Promo Code: CRYPTOCASEY … *Order now!: ⭐ ➜ 💥💳 *Tangem Pay ► NEW!! Visa card powered by your Tangem Wallet! ⚡💰 *Early access* — join the waitlist NOW! ✔️ Top up with stablecoins, spend instantly! 🤖 *GoBabyTrade ► ⭐⭐ AI-Driven Trading Bot + DCA Tool! ✔️ Profits while you sleep! 24/7 crypto trading! ✔️ Simply connect your Coinbase and go “default”! ⚡💰 Exclusive limited-time offer: *Get $1,000 off!!* … *Start now!: ⭐ ➜ 🚀 … Weekly Webinar!: ⭐ 👽 *Uphold⁺ ► ⭐⭐ Game-changing web3 financial platform! ✔️ #1 All-In-One: buy, sell, trade, stake, store! ✔️ 100%+ reserved, fully backed, deep liquidity! ✔️ Up to 4.50% USD balances! (FDIC Insured!) ⚡💰 Limited-Time: *Trade $100, get $20 FREE!!* … *Sign up now! ⭐ ➜* 💥👽 *Uphold Debit Card ► NEW!! Visa card powered by your Uphold account! ⚡💰 Up to *6% XRP* on everything you buy! ✔️ Metal card option! Just top up and spend! ▬▬▬ “BANKS ARE PANICKING” 🚨 NEW FINANCIAL SYSTEM UNDERWAY 💥 Hello, fam! Crypto Casey here 👋 and I'm on a mission to improve people’s lives through #crypto education. The global financial system is entering a historic turning point as stablecoins, decentralized finance, and new legislation threaten the traditional banking model built on fractional reserves and hidden fees. In this video we break down the GENIUS Act, the CLARITY Act, why banks are going DEFCON 1 to stop them, and how blockchain technology may ultimately reshape the future of money and financial sovereignty... Let’s hit it! ▬▬▬ TOP CRYPTO TOOLS TO GET TODAY! 💥💥⚡ 🔥💳 *Black Friday! ► 💳 *Tangem Card ► 💥 *Tangem Pay ► ⭕ *Tangem Ring ► 🤖 *GoBabyTrade ► 👽 *Uphold⁺ ► 💥👽 *Uphold Debit Card ► 🚀 *Money Line Indicator ► ▬▬▬ SET UP YOUR TRADING BOT TODAY!! 💥💥🚀 🤖 *GoBabyTrade ► Automated AI-Driven Trading Bot + DCA Tool! ⚡💰 Exclusive limited-time offer: *Get $1,000 off!!* ✔️ Profits while you sleep! 24/7 crypto trading! BUY NOW! ► FULL REVIEW! ► *WEEKLY WEBINAR!* ► CONNECT BOT TO YOUR TRADING ACCOUNT! ⭐ 🧿 Coinbase ► ⭐ 🐙 Kraken Pro ► ▬▬▬ CHAPTERS 💬 00:00 - Traditional Banking Scam 02:25 - 3 Steps to Escape 03:34 - GENIUS Act 05:50 - CLARITY Act 07:30 - Banks Lobbying Washington 08:45 - How Banks Make Profit 11:05 - Big Win for DeFi 11:05 - Cyber Warfare Threat 13:05 - Paradigm Shift 14:35 - Become Financially Sovereign 15:50 - Build Wealth with AI ▬▬▬ FOLLOW MY ONLY OFFICIAL CHANNELS! 📢 🔥 Linktree (Deals) ► ⭐ TikTok ► ⭐ Twitter ► ⭐ Instagram ► ⭐ Rumble ► ⭐ Facebook ► ⭐ Newsletter Sign-up ► ▬▬▬ TAGS: #Bitcoin #Crypto #Stablecoins #BankingSystem #FinancialSovereignty #DeFi #DecentralizedFinance #GENIUSAct #CLARITYAct #CryptoRegulation #CryptoNews #FinancialFreedom #Blockchain #CryptoCasey #CentralBanks #BankingCartel #DigitalFinance #FutureOfMoney #CryptoAdoption #CryptoRevolution TOPICS: Bitcoin, crypto, stablecoins, decentralized finance, DeFi, banking system, fractional reserve banking, financial sovereignty, GENIUS Act, CLARITY Act, crypto regulation, banking cartel, stablecoin regulation, blockchain finance, future of money, crypto news, financial freedom, central banks, crypto adoption, digital finance, crypto Casey, next generation finance NOTE: This description contains affiliate links. If you purchase a product through one of them, I will receive a commission (at no additional cost to you). Thanks for supporting the channel! DISCLAIMER: The information contained herein is for informational purposes only and not to be construed as financial, legal or tax advice. The content of this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Trading cryptocurrencies poses considerable risk of loss. The speaker does not guarantee any particular outcome. © 2025 Crypto Casey. All rights reserved ▬▬▬ ❤️ Be safe out there. —Crypto Casey

Crypto Casey

27,033 views • 4 months ago

Skills are the quickest way to 10x the quality and consistency of what you get from Claude Code. And you don't need to be a developer to use them. Anthropic just published how they use hundreds of skills internally every day. Most skill tutorials are made for developers — if you're in marketing, sales, content ops, or GTM, you probably watched those and moved on. But skills are just as important for non-developers. A skill is just a reusable prompt with clear instructions for a specific task. Instead of prompting Claude the same way over and over, you build it once and invoke it every time. I have a skill for writing on LinkedIn. A different one for YouTube outlines. Another for X. Each platform has different rules, different voice, different structure — so each one gets its own skill. If you're doing something repeatedly, it's time to make a skill. The biggest mistake most people make: building skills as a single .md file. A single file dumps everything into context whether Claude needs it or not. Wastes tokens. Gets worse results. Skills should be folders. Here's the structure that works: skill.md — the orchestrator. Tells Claude which files to read and when. It doesn't contain rules itself — it's the playbook. instructions/ — separate files for voice, structure, scope. Claude only loads the one it needs for the current step. examples/ — good AND bad. Good examples show what success looks like. Bad examples show patterns to avoid — AI writing tells, weak hooks, generic CTAs. Most people skip bad examples. Don't. eval/ — a checklist that scores every output before you see it. "Does it have a clear hook?" "Is it free of AI buzzwords?" Pass or fail on each item. templates/ — output formatting so you get consistent structure every time. The three types of skills that matter most for non-developers: 1. Business automation. Writing a newsletter. Checking reports and drafting follow-ups. Running programmatic ad campaigns. Any workflow you repeat — build a skill for it. 2. Content templates. Landing page copy, meta ads, email sequences, SEO briefs. Each one has specific requirements. Each one gets its own skill. 3. Thinking partners. This is the one people miss. Skills don't have to produce output. They can help you think — an advisory board that reviews your work from your ICP's perspective, a coach that pressure-tests your strategy, an ideation partner that researches competitors before suggesting your next move. If you already have skills as .md files, here's the exact prompt to restructure them in the Anthropic approved format: "I want to restructure my Claude Code skill file. Right now my skill is a single .md file and I want to break it into a folder system following Anthropic's best practices. Read my current skill file, then restructure it into a folder with: a skill.md orchestrator, an instructions/ folder with separate files for each concern (voice, structure, scope), an examples/ folder with good and bad examples, an eval/ folder with a quality checklist, and a templates/ folder for output formatting. Keep all my existing rules and intent — just reorganize them into the modular structure." Paste that into Claude Code pointed at the folder where your skill lives. It handles the rest. A few caveats: 1. Don't add too many skills. Every skill adds context Claude has to process. 50 skills loaded means everything slows down. Start with 3-5 covering your most repeated workflows. 2. Vet skills before downloading. If you grab a skill from the internet, read what's inside first. Skills can include shell commands and scripts. Check what you're running. 3. Share what works. Build a skill that performs well, put it in a shared GitHub repo. Your marketing org gets shared skills for copywriting, SEO, ad copy — new hires invoke the skill instead of learning every playbook from scratch. Onboarding time drops dramatically. 4. Keep your skills updated. When you see output you love, add it as a good example. When you see a pattern you hate, add it as a bad example. The skill gets sharper every time. I made a full video walking through all of this — including a live build of two skills from scratch (no terminal, no code), the exact prompt I use to restructure old skills, and 5 pro tips from Anthropic's internal playbook. Share this with your non-developer friends that want to do more with AI; or bookmark it to come back to at a later time.
25:52

Skills are the quickest way to 10x the quality and consistency of what you get from Claude Code. And you don't need to be a developer to use them. Anthropic just published how they use hundreds of skills internally every day. Most skill tutorials are made for developers — if you're in marketing, sales, content ops, or GTM, you probably watched those and moved on. But skills are just as important for non-developers. A skill is just a reusable prompt with clear instructions for a specific task. Instead of prompting Claude the same way over and over, you build it once and invoke it every time. I have a skill for writing on LinkedIn. A different one for YouTube outlines. Another for X. Each platform has different rules, different voice, different structure — so each one gets its own skill. If you're doing something repeatedly, it's time to make a skill. The biggest mistake most people make: building skills as a single .md file. A single file dumps everything into context whether Claude needs it or not. Wastes tokens. Gets worse results. Skills should be folders. Here's the structure that works: skill.md — the orchestrator. Tells Claude which files to read and when. It doesn't contain rules itself — it's the playbook. instructions/ — separate files for voice, structure, scope. Claude only loads the one it needs for the current step. examples/ — good AND bad. Good examples show what success looks like. Bad examples show patterns to avoid — AI writing tells, weak hooks, generic CTAs. Most people skip bad examples. Don't. eval/ — a checklist that scores every output before you see it. "Does it have a clear hook?" "Is it free of AI buzzwords?" Pass or fail on each item. templates/ — output formatting so you get consistent structure every time. The three types of skills that matter most for non-developers: 1. Business automation. Writing a newsletter. Checking reports and drafting follow-ups. Running programmatic ad campaigns. Any workflow you repeat — build a skill for it. 2. Content templates. Landing page copy, meta ads, email sequences, SEO briefs. Each one has specific requirements. Each one gets its own skill. 3. Thinking partners. This is the one people miss. Skills don't have to produce output. They can help you think — an advisory board that reviews your work from your ICP's perspective, a coach that pressure-tests your strategy, an ideation partner that researches competitors before suggesting your next move. If you already have skills as .md files, here's the exact prompt to restructure them in the Anthropic approved format: "I want to restructure my Claude Code skill file. Right now my skill is a single .md file and I want to break it into a folder system following Anthropic's best practices. Read my current skill file, then restructure it into a folder with: a skill.md orchestrator, an instructions/ folder with separate files for each concern (voice, structure, scope), an examples/ folder with good and bad examples, an eval/ folder with a quality checklist, and a templates/ folder for output formatting. Keep all my existing rules and intent — just reorganize them into the modular structure." Paste that into Claude Code pointed at the folder where your skill lives. It handles the rest. A few caveats: 1. Don't add too many skills. Every skill adds context Claude has to process. 50 skills loaded means everything slows down. Start with 3-5 covering your most repeated workflows. 2. Vet skills before downloading. If you grab a skill from the internet, read what's inside first. Skills can include shell commands and scripts. Check what you're running. 3. Share what works. Build a skill that performs well, put it in a shared GitHub repo. Your marketing org gets shared skills for copywriting, SEO, ad copy — new hires invoke the skill instead of learning every playbook from scratch. Onboarding time drops dramatically. 4. Keep your skills updated. When you see output you love, add it as a good example. When you see a pattern you hate, add it as a bad example. The skill gets sharper every time. I made a full video walking through all of this — including a live build of two skills from scratch (no terminal, no code), the exact prompt I use to restructure old skills, and 5 pro tips from Anthropic's internal playbook. Share this with your non-developer friends that want to do more with AI; or bookmark it to come back to at a later time.

JJ Englert

29,322 views • 4 months ago