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Okay, this is the first AI content setup I've seen that actually closes the loop. Sabrina Ramonov (founder of Blotato) runs all her content solo, and her Claude agent is pulling 41M cross-platform views in 30 days. She went 0 to 3M followers in 2 years on $0 ads....

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Prajwal Tomar

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131,065 просмотров • 4 дней назад •via X (Twitter)

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If you use Claude Code, install this immediately. It's called Claude Code Templates. It adds an entire ecosystem of AI tools to Claude. Here's what you get: 1. Agent Teams Visual dashboards showing how multiple AI agents collaborate on code. 2. Specialized Agents Front-end developers, backend engineers, QA testers, marketers. 3. MCP Integrations Connect Claude to external tools and workflows. 4. Real-Time Monitoring Track AI development sessions and performance analytics. 5. Automation Scheduling Run tasks automatically every day. Example: You can schedule an agent team to run daily at 5AM. It researches trends, generates content, and builds workflows. All automatically. The best part? Everything is free and open source.
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If you use Claude Code, install this immediately. It's called Claude Code Templates. It adds an entire ecosystem of AI tools to Claude. Here's what you get: 1. Agent Teams Visual dashboards showing how multiple AI agents collaborate on code. 2. Specialized Agents Front-end developers, backend engineers, QA testers, marketers. 3. MCP Integrations Connect Claude to external tools and workflows. 4. Real-Time Monitoring Track AI development sessions and performance analytics. 5. Automation Scheduling Run tasks automatically every day. Example: You can schedule an agent team to run daily at 5AM. It researches trends, generates content, and builds workflows. All automatically. The best part? Everything is free and open source.

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Today we're launching Brand Skills in Claude. This is a set of skills /gooseworks that gives Claude full context on your brand — logo, colors, voice, positioning — so anyone can make on-brand ads and content directly in Claude, Claude Code, Cowork, or Codex. Here's how it works: 1. Install the skills: npx gooseworks install --all 2. Run this prompt: /gooseworks --skill brand-intel-branddev [your-website] — pulls your logo, brand colors + company data in ~15 seconds 3. Run brand-voice-extractor, brand-research and update-brand-kit — Claude learns how you sound, your positioning and audience, and saves it all as a reusable brand kit Every other skill reads your brand kit automatically. So every ad and post you generate is accurate to your brand's messaging, logo, assets, etc. By default. It's that easy. But this is just the start. We have created a library with 100+ open-source skills for growth that some of the fastest growing startups in the world are using every day to run ads, content, competitor research, gtm, seo and more. Comment Goose and I'll DM you the full open-source skill library.
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Today we're launching Brand Skills in Claude. This is a set of skills /gooseworks that gives Claude full context on your brand — logo, colors, voice, positioning — so anyone can make on-brand ads and content directly in Claude, Claude Code, Cowork, or Codex. Here's how it works: 1. Install the skills: npx gooseworks install --all 2. Run this prompt: /gooseworks --skill brand-intel-branddev [your-website] — pulls your logo, brand colors + company data in ~15 seconds 3. Run brand-voice-extractor, brand-research and update-brand-kit — Claude learns how you sound, your positioning and audience, and saves it all as a reusable brand kit Every other skill reads your brand kit automatically. So every ad and post you generate is accurate to your brand's messaging, logo, assets, etc. By default. It's that easy. But this is just the start. We have created a library with 100+ open-source skills for growth that some of the fastest growing startups in the world are using every day to run ads, content, competitor research, gtm, seo and more. Comment Goose and I'll DM you the full open-source skill library.

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Obsidian CEO actually released the skill that lets your AI agent run your entire vault for you. It's called obsidian-skills. Install it into Claude Code, Codex, or OpenCode, and your agent can read, create, search, and organize notes directly, plus handle Markdown, Bases, and Canvas files without you touching a thing. This is the missing piece for an AI second brain. Your notes live in Obsidian, and now the agent actually knows how to work them. Want the full picture? We broke down how to build a complete AI second brain from scratch in the article below.
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Obsidian CEO actually released the skill that lets your AI agent run your entire vault for you. It's called obsidian-skills. Install it into Claude Code, Codex, or OpenCode, and your agent can read, create, search, and organize notes directly, plus handle Markdown, Bases, and Canvas files without you touching a thing. This is the missing piece for an AI second brain. Your notes live in Obsidian, and now the agent actually knows how to work them. Want the full picture? We broke down how to build a complete AI second brain from scratch in the article below.

Simplifying AI

66,337 просмотров • 3 дней назад

Think of it as the Shopify of Claude Code, but for agents, commands, and MCPs 🚀 Pick what you need, “add to cart,” and… it’s 100% FREE. Just copy the command, paste it in your terminal, and instantly get the perfect Claude Code stack for your project. Built as an open-source project so the community can spin up, share, and install Claude Code stacks in seconds, no setup headaches, no paywalls. Here’s the video showing how I built this post… and yes, if you share the command, anyone can clone the exact same stack you’re using. Enjoy, share, and help others build faster with Claude Code ✨
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Think of it as the Shopify of Claude Code, but for agents, commands, and MCPs 🚀 Pick what you need, “add to cart,” and… it’s 100% FREE. Just copy the command, paste it in your terminal, and instantly get the perfect Claude Code stack for your project. Built as an open-source project so the community can spin up, share, and install Claude Code stacks in seconds, no setup headaches, no paywalls. Here’s the video showing how I built this post… and yes, if you share the command, anyone can clone the exact same stack you’re using. Enjoy, share, and help others build faster with Claude Code ✨

Daniel San

124,913 просмотров • 1 год назад

This guy literally told Claude to run every day at 4am. Now it opens his website, writes a blog post, and optimizes it for SEO. Every single day. Zero involvement. Here's how Claude computer use actually works: It looks at your screen. Moves your mouse. Clicks buttons. Opens apps. Completes the full task on its own. No code. No workflow builder. No setup. You just tell it what you want done. And the 4am SEO trick? You schedule it once inside Claude Co-work. Claude runs it every night while you sleep. Your site gets fresh content. You wake up and check the results. That's not a chatbot. That's an AI employee.
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This guy literally told Claude to run every day at 4am. Now it opens his website, writes a blog post, and optimizes it for SEO. Every single day. Zero involvement. Here's how Claude computer use actually works: It looks at your screen. Moves your mouse. Clicks buttons. Opens apps. Completes the full task on its own. No code. No workflow builder. No setup. You just tell it what you want done. And the 4am SEO trick? You schedule it once inside Claude Co-work. Claude runs it every night while you sleep. Your site gets fresh content. You wake up and check the results. That's not a chatbot. That's an AI employee.

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133,339 просмотров • 4 месяцев назад

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Argona

51,369 просмотров • 1 месяц назад

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I just built a content engine in Claude Code that writes blog posts in your brand's exact voice 🤯 One Claude plugin runs the whole content workflow: brand voice, research, writing, AI-slop scoring, and repurposing into social. It writes in YOUR voice, refuses to fabricate stats, and scores every draft 0-100. All inside Claude Code. So I pointed it at Grüns, one of the sharpest DTC brands out there. I fed it their homepage. In seconds it built a brand-voice profile, their playful anti-hype tone, the "Rip. Tip. Enjoy." cadence, the AG1-switcher audience, the 4.8★/100k-review proof. Then I asked for one post: "why your gut health controls your skin, hair, and energy." It came back publish-ready and scored 89/100 on the first pass: → Answer-first, with question headings AI engines can quote → Zero AI-slop phrases (no "unlock," no "in today's fast-paced world") → And it refused to invent a single stat, the fastest way to get a supplement brand demoted It sounded like Grüns wrote it, not ChatGPT. Perfect for e-comm operators and agencies who are sick of AI tools that all sound identical, $300 freelance posts that still need a rewrite, and content that reads like the slop Google now punishes. So I put together the full playbook to build your own. The complete guide to building this content engine in Claude Code: branded to you, tuned to your voice, repeatable across every client. The kind of post you'd pay a freelancer $300 for, written in minutes, in the brand's actual voice. What's inside: → The architecture (orchestrator + writer/editor/researcher agents) → How to capture any brand's voice into a reusable profile → The 0-100 scoring + AI-slop detection framework → The one-post-to-a-week-of-social repurposing loop → The full build, start to finish Want the playbook for free? > Like this post > Comment "CONTENT" And I'll send it over (must be following so I can DM)

Mike Futia

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Anthropic's Claude Ai Agents Team just Educated how to build production AI agents in under 30 mins. For Free. From the engineers who built the stack. CANCEL Your Weekend Plans, and Learn to Build AI Agents Today. Bookmark it. Watch it. Build your first production agent this weekend. $5,000/month. $7,000/month. $12,000/month. People are building agents for clients and charging $$$ as Beginners. You're still stuck in the thinking about AI phase. This video fixes that tonight. Follow Himanshu Kumar for more high-signal content that actually moves your AI engineering career forward. ↓ Ivan Nardini runs Developer Relations for AI at Google Cloud. He just gave away the entire production agent stack in 30 minutes. This is the talk that separates people deploying AI agents that actually scale from people whose agents break the moment they leave localhost. Here's everything inside. I break down a production AI video like this every week. Follow Himanshu Kumar. ↓ The 4-part agent stack that actually scales. Most devs are duct-taping frameworks together and calling it an "AI agent." Ivan lays out the real stack: Agent Development Kit (ADK): open-source, code-first framework for building, evaluating, and deploying agents. Supports Claude models through Vertex AI directly. Model Context Protocol (MCP): lets your agent talk to any tool or data source with one standard. Vertex AI Agent Engine: managed platform for deploying, monitoring, and scaling agents in production. No DevOps headaches. Agent-to-Agent Protocol: open protocol so agents built on different frameworks can actually work together. This is the stack replacing every hacky agent setup in production right now. Full MCP + Claude breakdowns drop weekly on Himanshu Kumar. ↓ Building your first real agent. Ivan builds a birthday planner agent live. LLM Agent class. Name it. Define instructions. Pick the model. He uses Claude 3.7 Sonnet. You could use Opus 4.7 for better reasoning. Full agent built in minutes. Not weeks. Watch the build once and you'll never structure an agent the wrong way again. I post agent architectures people pay $500 courses to learn. Himanshu Kumar. ↓ Multi-agent systems without the chaos. Single agents are easy. Multi-agent systems are where 99% of builders fail. Ivan extends the birthday planner by: Adding a calendar service through MCP tools Creating an orchestrator agent to route requests between agents Handling state and context across agent handoffs This is production multi-agent architecture. Clean. Scalable. Debuggable. Most tutorials hand-wave this part. This one shows you every step. Multi-agent orchestration content drops weekly on Himanshu Kumar. ↓ Deployment without the DevOps nightmare. This is where most AI projects die. You build a cool agent locally. It works. You try to deploy it. Everything breaks. Vertex AI Agent Engine fixes this: Minimal code deployment Automatic monitoring of latency, CPU, and memory Built-in observability and logging No infrastructure setup needed You provide config and requirements. The platform handles the rest. This is how agents actually get to production. Deployment guides for Claude agents post every week. Himanshu Kumar. ↓ Agent-to-Agent Protocol: the future nobody's talking about. Most people don't know this exists yet. The A2A Protocol lets agents built in different frameworks communicate seamlessly. Your Claude agent. My LangChain agent. Someone else's CrewAI agent. All talking to each other. All solving parts of the same problem. All without custom integration code. This is the infrastructure layer of the coming AI economy. Getting in early on A2A Protocol is like getting in early on HTTP in 1995. A2A deep dive coming soon. Himanshu Kumar. ↓ 30 minutes from the team shipping this in production. You'll learn more from this than from 6 months of YouTube tutorials made by people who've never deployed an agent past localhost. People who watch this understand production AI agents at the architect level. People who skip it keep hacking together frameworks that break every time an API updates. Save the video. Watch it tonight. Build a real agent this weekend. Follow Himanshu Kumar for more high-signal content that actually moves your AI engineering career forward.

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How to build an AI SEO Loop with Claude Code. I just launched a Free course on how to setup Claude Code, Hermes, Codex or any agent to become your Chief SEO that gets you customers on autopilot. Comment "Loop" and I'll send an access in your DMs. You'll learn: - How to install the SEO Skill. - Audit and Fix your website through Google Search Console. - Find keywords that convert. - Publish content automatically. - Track your positions on Google and your AI visibility. - Get recommended by AI. - and more bonuses.

Florian Darroman

23,890 просмотров • 1 месяц назад

Today we're launching iMessage video ads in Claude. Faceless video is the best-performing ad format right now — and Claude can now generate a full one end to end, in one prompt. Here's how it works: 1. Install: npx gooseworks install --all 2. Run: /goose-video make an iMessage ad for [your product] Claude writes the script, generates the photos in the thread, animates the conversation, and closes on your brand. SFX, music, end card, all of it. The trick: it's just HTML. No video generation models, so it's fast and cheap — and it works because it doesn't look like an ad. It's that easy. But this is just the start. We have created a library with 100+ open-source skills for growth that some of the fastest growing startups in the world are using every day to run ads, content, competitor research, gtm, seo and more. Comment Goose and I'll DM you the full open-source skill library.
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Today we're launching iMessage video ads in Claude. Faceless video is the best-performing ad format right now — and Claude can now generate a full one end to end, in one prompt. Here's how it works: 1. Install: npx gooseworks install --all 2. Run: /goose-video make an iMessage ad for [your product] Claude writes the script, generates the photos in the thread, animates the conversation, and closes on your brand. SFX, music, end card, all of it. The trick: it's just HTML. No video generation models, so it's fast and cheap — and it works because it doesn't look like an ad. It's that easy. But this is just the start. We have created a library with 100+ open-source skills for growth that some of the fastest growing startups in the world are using every day to run ads, content, competitor research, gtm, seo and more. Comment Goose and I'll DM you the full open-source skill library.

Soham Mehta

49,849 просмотров • 1 месяц назад

this AI Agent scans twitter for the most viral posts in any niche and tells you exactly how to replicate them before you write a single word... here's what it does: -> type in any keyword and it scans X for posts that absolutely blew up in that niche -> analyses exactly what made them go viral like hook structure, length, format, engagement triggers -> generates a full MD file you can drop straight into Claude or ChatGPT to write viral posts in the same style -> paste your own post in and it scans X for similar content that went viral -> gives your post a viral score so you know exactly how much chance you have of going viral -> rewrites your post for maximum viral potential based on what's actually working right now most people post and hope they go viral. this tells you before you post whether it's going to blow up. comment "VIRAL" + RT and i'll send you the full agent so you can stop guessing and start posting content that actually blows up (must be following so i can DM)
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this AI Agent scans twitter for the most viral posts in any niche and tells you exactly how to replicate them before you write a single word... here's what it does: -> type in any keyword and it scans X for posts that absolutely blew up in that niche -> analyses exactly what made them go viral like hook structure, length, format, engagement triggers -> generates a full MD file you can drop straight into Claude or ChatGPT to write viral posts in the same style -> paste your own post in and it scans X for similar content that went viral -> gives your post a viral score so you know exactly how much chance you have of going viral -> rewrites your post for maximum viral potential based on what's actually working right now most people post and hope they go viral. this tells you before you post whether it's going to blow up. comment "VIRAL" + RT and i'll send you the full agent so you can stop guessing and start posting content that actually blows up (must be following so i can DM)

Sulfur

26,336 просмотров • 1 месяц назад

MAC MINI + IPAD + CLAUDE OPUS 4.8 = THE MOST UNDERRATED SETUP OF 2026 > $600 Mac Mini M4 in the closet. no monitor. autonomous agents running 24/7 > reviewing code, managing files, handling workflows while you sleep > you wake up, open the iPad, connect to the full desktop, see what got done coffee shop. lid open. check on the agents. nudge one. close it. your AI keeps working > Mac Mini M4: $600 > Claude: $20/month > iPad you already own this is a remote AI office that fits in a shoebox demo below. Claude skills that run on this setup are in the article above
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MAC MINI + IPAD + CLAUDE OPUS 4.8 = THE MOST UNDERRATED SETUP OF 2026 > $600 Mac Mini M4 in the closet. no monitor. autonomous agents running 24/7 > reviewing code, managing files, handling workflows while you sleep > you wake up, open the iPad, connect to the full desktop, see what got done coffee shop. lid open. check on the agents. nudge one. close it. your AI keeps working > Mac Mini M4: $600 > Claude: $20/month > iPad you already own this is a remote AI office that fits in a shoebox demo below. Claude skills that run on this setup are in the article above

Mr. Buzzoni

47,978 просмотров • 2 месяцев назад

SOMEONE IS CHARGING $5,000/MONTH FOR SOCIAL MEDIA CONTENT THAT CLAUDE WRITES IN 6 HOURS A WEEK no team, no office, just Claude and a scheduling app mid-market companies pay $2,000-$5,000 per month for social media management, and most of them are getting a junior freelancer posting generic content or an agency that barely touches their account one of them runs the whole thing in a weekly workflow: brief Claude on Monday, write posts Tuesday and Wednesday, schedule Thursday, pull numbers Friday another one charged three clients the same $5,000 rate before hiring a single person, that's $180,000/year running on one tool there's a prompt that makes Claude write every post in the client's exact voice by analyzing 5 examples of their existing content, 10 min per post instead of 60 you can land the first client with one outreach message, no portfolio, no case studies, just a specific offer and a 30-minute call the model is already working, the only question is whether you build it or watch someone else do it full breakdown of the workflow, the prompts, and how to find clients in the article below
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SOMEONE IS CHARGING $5,000/MONTH FOR SOCIAL MEDIA CONTENT THAT CLAUDE WRITES IN 6 HOURS A WEEK no team, no office, just Claude and a scheduling app mid-market companies pay $2,000-$5,000 per month for social media management, and most of them are getting a junior freelancer posting generic content or an agency that barely touches their account one of them runs the whole thing in a weekly workflow: brief Claude on Monday, write posts Tuesday and Wednesday, schedule Thursday, pull numbers Friday another one charged three clients the same $5,000 rate before hiring a single person, that's $180,000/year running on one tool there's a prompt that makes Claude write every post in the client's exact voice by analyzing 5 examples of their existing content, 10 min per post instead of 60 you can land the first client with one outreach message, no portfolio, no case studies, just a specific offer and a 30-minute call the model is already working, the only question is whether you build it or watch someone else do it full breakdown of the workflow, the prompts, and how to find clients in the article below

Chrome

13,769 просмотров • 2 месяцев назад

HERMES AGENT LEARNS FROM ITS OWN MISTAKES. UPDATES ITS MEMORY. CREATES ITS OWN SKILLS. NO CLOUD. EVERYTHING STORED LOCALLY. THIS IS HOW THE SELF-IMPROVING LOOP WORKS. most agents start from zero every session. Hermes carries forward what it learned. THREE MEMORY SYSTEMS: 1. PROCEDURAL MEMORY (how to act) stored in ~/.hermes/skills/ as SKILL.md files. when the agent repeats a complex workflow, it saves the procedure as a reusable skill. next time the same task comes up, it follows the skill instead of figuring it out again. you can also create skills explicitly: "create a skill called video-prep that captures how I format my video scripts. spoken english, define jargon inline, no em-dashes, close with a catchphrase." the agent writes the SKILL.md. available as a slash command from that moment. Hermes ships with 90+ skills. the number grows the longer you use it. 2. SEMANTIC MEMORY (durable facts about you) stored in ~/.hermes/memory/memory.md the agent scans conversations for facts worth remembering. preferences, habits, corrections, project details. real example from the video: agent tried to scrape a YouTube channel. URL was wrong. it failed. it updated memory.md with the correct URL pattern so it never makes the same mistake again. you can also save explicitly: "save to memory that my favorite testing framework is pytest" the agent updates memory.md immediately. this file loads into context on every session. the agent knows you better every week. 3. EPISODIC MEMORY (chat history) stored in ~/.hermes/state.db (local SQLite). every conversation. every tool call. every result. searchable with FTS5 full-text search. "search our past sessions. what was the first thing I ever said to you?" the agent queries state.db and finds it. over time, auxiliary models consolidate episodic memory into semantic memory. distilling recurring patterns into durable facts. THE SELF-IMPROVING LOOP: every agent run follows this cycle: → you send a prompt → working memory loads: SOUL.md + memory.md + relevant skills + chat history → agent calls tools (terminal, browser, delegate_task) → agent completes the task, replies to you → AFTER the reply: agent checks "did I learn something worth saving?" → if yes: updates memory.md or creates a new skill → next session starts smarter than the last this happens automatically. you don't ask the agent to learn. it decides what to remember on its own. WHAT MAKES THIS DIFFERENT FROM CLAUDE CODE: Claude Code has memory too. but Hermes stores everything locally. no cloud. your data never leaves your machine. Claude Code doesn't auto-create skills from experience. Hermes turns repeated workflows into reusable procedures. Claude Code memory is instruction-based. Hermes memory is conversational and self-updating. over months of usage, Hermes builds a knowledge base of your preferences, your projects, your mistakes, and the procedures that work for your specific workflow. the agent that remembers your birthday also remembers why your last deploy failed. NO EMBEDDINGS. PLAIN TEXT. Hermes does not use embeddings or RAG for memory. skill and memory search runs on plain text keyword matching. simpler. faster. no vector database to maintain. works entirely offline on your local machine. DELEGATE TO CLAUDE CODE: Hermes can spawn a sub-agent that runs Claude Code in headless mode: "spawn a sub-agent using Claude CLI to build a Python script that fetches the top 5 Hacker News stories to markdown." Hermes delegates. Claude Code writes the code. result returns to Hermes. Hermes runs the script and delivers the output. use Hermes for orchestration. use Claude Code for heavy coding. both tools. not competitors. WHAT HERMES DOES NOT HAVE: no built-in eval or LMOps system. no LangSmith, no LangFuse integration out of the box. trajectory export and logs exist but there is no automated quality tracking. if you need eval, build it yourself or connect external tools. the loop is self-improving. measuring how well it improves is on you. comment LOOP and I'll send you the configs that control how fast Hermes learns and what it remembers. memory limits, skill auto-creation triggers, and the auxiliary model that runs the learning. Replace your entire team with 8 hermes agents👇
20:54

HERMES AGENT LEARNS FROM ITS OWN MISTAKES. UPDATES ITS MEMORY. CREATES ITS OWN SKILLS. NO CLOUD. EVERYTHING STORED LOCALLY. THIS IS HOW THE SELF-IMPROVING LOOP WORKS. most agents start from zero every session. Hermes carries forward what it learned. THREE MEMORY SYSTEMS: 1. PROCEDURAL MEMORY (how to act) stored in ~/.hermes/skills/ as SKILL.md files. when the agent repeats a complex workflow, it saves the procedure as a reusable skill. next time the same task comes up, it follows the skill instead of figuring it out again. you can also create skills explicitly: "create a skill called video-prep that captures how I format my video scripts. spoken english, define jargon inline, no em-dashes, close with a catchphrase." the agent writes the SKILL.md. available as a slash command from that moment. Hermes ships with 90+ skills. the number grows the longer you use it. 2. SEMANTIC MEMORY (durable facts about you) stored in ~/.hermes/memory/memory.md the agent scans conversations for facts worth remembering. preferences, habits, corrections, project details. real example from the video: agent tried to scrape a YouTube channel. URL was wrong. it failed. it updated memory.md with the correct URL pattern so it never makes the same mistake again. you can also save explicitly: "save to memory that my favorite testing framework is pytest" the agent updates memory.md immediately. this file loads into context on every session. the agent knows you better every week. 3. EPISODIC MEMORY (chat history) stored in ~/.hermes/state.db (local SQLite). every conversation. every tool call. every result. searchable with FTS5 full-text search. "search our past sessions. what was the first thing I ever said to you?" the agent queries state.db and finds it. over time, auxiliary models consolidate episodic memory into semantic memory. distilling recurring patterns into durable facts. THE SELF-IMPROVING LOOP: every agent run follows this cycle: → you send a prompt → working memory loads: SOUL.md + memory.md + relevant skills + chat history → agent calls tools (terminal, browser, delegate_task) → agent completes the task, replies to you → AFTER the reply: agent checks "did I learn something worth saving?" → if yes: updates memory.md or creates a new skill → next session starts smarter than the last this happens automatically. you don't ask the agent to learn. it decides what to remember on its own. WHAT MAKES THIS DIFFERENT FROM CLAUDE CODE: Claude Code has memory too. but Hermes stores everything locally. no cloud. your data never leaves your machine. Claude Code doesn't auto-create skills from experience. Hermes turns repeated workflows into reusable procedures. Claude Code memory is instruction-based. Hermes memory is conversational and self-updating. over months of usage, Hermes builds a knowledge base of your preferences, your projects, your mistakes, and the procedures that work for your specific workflow. the agent that remembers your birthday also remembers why your last deploy failed. NO EMBEDDINGS. PLAIN TEXT. Hermes does not use embeddings or RAG for memory. skill and memory search runs on plain text keyword matching. simpler. faster. no vector database to maintain. works entirely offline on your local machine. DELEGATE TO CLAUDE CODE: Hermes can spawn a sub-agent that runs Claude Code in headless mode: "spawn a sub-agent using Claude CLI to build a Python script that fetches the top 5 Hacker News stories to markdown." Hermes delegates. Claude Code writes the code. result returns to Hermes. Hermes runs the script and delivers the output. use Hermes for orchestration. use Claude Code for heavy coding. both tools. not competitors. WHAT HERMES DOES NOT HAVE: no built-in eval or LMOps system. no LangSmith, no LangFuse integration out of the box. trajectory export and logs exist but there is no automated quality tracking. if you need eval, build it yourself or connect external tools. the loop is self-improving. measuring how well it improves is on you. comment LOOP and I'll send you the configs that control how fast Hermes learns and what it remembers. memory limits, skill auto-creation triggers, and the auxiliary model that runs the learning. Replace your entire team with 8 hermes agents👇

YanXbt

22,720 просмотров • 1 месяц назад

Claude Skills are a cheat code for DTC creative teams 🤯 One setup, reusable forever. Claude automatically follows your exact creative process — briefs, hooks, ad copy, research — without you explaining anything twice. Perfect for e-comm brands and agencies who are using Claude for creative work but wasting time re-explaining context every single conversation. Here's the problem: You open Claude: you paste in your brand guidelines, explain your brief format, write the copy, you close the chat. Next day, you do it all over again. Every conversation starts from zero. You're burning 20 minutes on setup before you even get to the actual work. Claude Skills fix this: → Write your creative process once as a Skill (a simple markdown file) → Claude reads it automatically whenever the task comes up → Skills compose — research triggers the research Skill, briefs trigger the brief Skill, copy triggers the copy Skill → All in one conversation, all building on each other → Share across your team so everyone gets the same quality output No re-explaining your brand voice. No pasting the same context every chat. No siloed projects that don't talk to each other. What's in the playbook: → The full architecture (how Skills trigger, chain, and compose) → 5 ready-to-use Skill templates built for DTC and agency creative teams → Step-by-step setup from zero to working Skills → How to write instructions that produce consistent output every time → The composability framework for running multi-step creative workflows in one conversation I put together the complete Claude Skills Playbook for DTC brands and creative agencies. Want it for free? >Like this post >Comment "SKILLS" And I'll send it over (must be following so I can DM)
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Claude Skills are a cheat code for DTC creative teams 🤯 One setup, reusable forever. Claude automatically follows your exact creative process — briefs, hooks, ad copy, research — without you explaining anything twice. Perfect for e-comm brands and agencies who are using Claude for creative work but wasting time re-explaining context every single conversation. Here's the problem: You open Claude: you paste in your brand guidelines, explain your brief format, write the copy, you close the chat. Next day, you do it all over again. Every conversation starts from zero. You're burning 20 minutes on setup before you even get to the actual work. Claude Skills fix this: → Write your creative process once as a Skill (a simple markdown file) → Claude reads it automatically whenever the task comes up → Skills compose — research triggers the research Skill, briefs trigger the brief Skill, copy triggers the copy Skill → All in one conversation, all building on each other → Share across your team so everyone gets the same quality output No re-explaining your brand voice. No pasting the same context every chat. No siloed projects that don't talk to each other. What's in the playbook: → The full architecture (how Skills trigger, chain, and compose) → 5 ready-to-use Skill templates built for DTC and agency creative teams → Step-by-step setup from zero to working Skills → How to write instructions that produce consistent output every time → The composability framework for running multi-step creative workflows in one conversation I put together the complete Claude Skills Playbook for DTC brands and creative agencies. Want it for free? >Like this post >Comment "SKILLS" And I'll send it over (must be following so I can DM)

Mike Futia

31,910 просмотров • 5 месяцев назад

holy sh*t this is actually free graph engineering is about to be the most valuable skill in AI... and an entire university program on it is public on GitHub it's a full graduate course on knowledge graphs, lecture by lecture the pipeline, end to end: representation → ontology → entity extraction → relations → events → quality gate → fusion → embeddings → memory your agent can traverse I compressed that path into a Claude skill: 1. clone the repo 2. hand the skill to Claude 3. done, it walks you through the whole pipeline on your own project save and bookmark this no matter what 👇
0:35

holy sh*t this is actually free graph engineering is about to be the most valuable skill in AI... and an entire university program on it is public on GitHub it's a full graduate course on knowledge graphs, lecture by lecture the pipeline, end to end: representation → ontology → entity extraction → relations → events → quality gate → fusion → embeddings → memory your agent can traverse I compressed that path into a Claude skill: 1. clone the repo 2. hand the skill to Claude 3. done, it walks you through the whole pipeline on your own project save and bookmark this no matter what 👇

darkzodchi

51,235 просмотров • 13 дней назад

THIS GUY HAS CLAUDE DOING $500-700 A DAY SELLING ONE DIGITAL PRODUCT, WITH ZERO SPENT ON ADS He sells one digital product and lets Claude run the content that drives the sales. No ad spend, sales starting within a day or two. The product is the easy part. The content engine is what actually sells it, and that's the whole method The exact steps: 1. Find the niche. Ask Claude for specific problems people already pay to solve in a space you know, then check Gumroad and Etsy search to confirm people are buying. Specific beats generic every time 2. Build the product with Claude. Have it design a Notion template for one exact buyer, sections and dashboard included. Recreate it in Notion, set it to "anyone can duplicate." 3. List it on Gumroad. Free account, New Product, paste the Notion link, price it, grab your checkout link 4. Run the 3-prompt content engine. This is the part that sells. First prompt: competition mining, have Claude find the top-selling competitor products and pull the most viral content mentioning them. Second: have it extract the structures and frameworks from that content into reusable templates. Third: feed it your product and those templates and have it write fresh viral content for you 5. Rerun it weekly. The niche shifts, so refresh the templates every week. The winning ones you reuse again and again Build once, post daily, let the content do the selling Bookmark this
1:06

THIS GUY HAS CLAUDE DOING $500-700 A DAY SELLING ONE DIGITAL PRODUCT, WITH ZERO SPENT ON ADS He sells one digital product and lets Claude run the content that drives the sales. No ad spend, sales starting within a day or two. The product is the easy part. The content engine is what actually sells it, and that's the whole method The exact steps: 1. Find the niche. Ask Claude for specific problems people already pay to solve in a space you know, then check Gumroad and Etsy search to confirm people are buying. Specific beats generic every time 2. Build the product with Claude. Have it design a Notion template for one exact buyer, sections and dashboard included. Recreate it in Notion, set it to "anyone can duplicate." 3. List it on Gumroad. Free account, New Product, paste the Notion link, price it, grab your checkout link 4. Run the 3-prompt content engine. This is the part that sells. First prompt: competition mining, have Claude find the top-selling competitor products and pull the most viral content mentioning them. Second: have it extract the structures and frameworks from that content into reusable templates. Third: feed it your product and those templates and have it write fresh viral content for you 5. Rerun it weekly. The niche shifts, so refresh the templates every week. The winning ones you reuse again and again Build once, post daily, let the content do the selling Bookmark this

Yarchi

100,572 просмотров • 2 месяцев назад

Today we're launching Goose Ads in Claude. This is a skill /goose-ads that lets anyone make high-performing ad creatives directly in Claude, Claude Code, Cowork, or Codex. Here's how it works: 1. Install the skill: npx gooseworks install --all 2. Run this prompt: /goose-ads create ads for my brand 3. (Optional) Pick templates you like on the platform The skill finds top-performing ads that companies are already spending $ on and generates creatives for your brand. It also ensures that generated creatives are accurate to your brand's messaging, logo, assets, etc. It's that easy. But this is just the start. We have created a library with 100+ open-source skills for growth that some of the fastest growing startups in the world are using every day to run ads, content, competitor research, gtm, seo and more. Comment Goose and I'll DM you the full open-source skill library.
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Today we're launching Goose Ads in Claude. This is a skill /goose-ads that lets anyone make high-performing ad creatives directly in Claude, Claude Code, Cowork, or Codex. Here's how it works: 1. Install the skill: npx gooseworks install --all 2. Run this prompt: /goose-ads create ads for my brand 3. (Optional) Pick templates you like on the platform The skill finds top-performing ads that companies are already spending $ on and generates creatives for your brand. It also ensures that generated creatives are accurate to your brand's messaging, logo, assets, etc. It's that easy. But this is just the start. We have created a library with 100+ open-source skills for growth that some of the fastest growing startups in the world are using every day to run ads, content, competitor research, gtm, seo and more. Comment Goose and I'll DM you the full open-source skill library.

Shiv

601,287 просмотров • 1 месяц назад

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 просмотров • 3 месяцев назад