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We've added universal item support to the registry. Any framework. Any language. Now you can distribute code, config, workflows, mcp, agent rules. Anything. Here's me adding better-auth to Nuxt: auth client, middleware, pages. "npm" for application & infrastructure code.

shadcn

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86,400 Aufrufe • vor 1 Jahr •via X (Twitter)

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We’re adding native support for the MCP protocol in n8n: you can now get early access to both our MCP Client tool & MCP Trigger nodes! Try it out, break it, build something cool, and let us know what you need. 👉 #n8n #AI #MCP

We’re adding native support for the MCP protocol in n8n: you can now get early access to both our MCP Client tool & MCP Trigger nodes! Try it out, break it, build something cool, and let us know what you need. 👉 #n8n #AI #MCP

n8n.io

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When you're working on a new app, it can takes a few tries to find something you like so we've made switching presets really easy. Run init --preset with a new code in your app, and the cli will take care of reconfiguring everything including components, theme & dependencies.

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shadcn

36,616 Aufrufe • vor 7 Monaten

LangGraph. CrewAI. Agno. Which one to pick? The good news is that this will not matter soon! Finally, we have a full picture of how the industry is solving this with just three open protocols that work across ALL frameworks. It's not about picking the best framework. Instead, it's about understanding how protocols create interoperability. The Agent Protocol Landscape shows how three complementary protocols are creating a universal language for Agents: > AG-UI (Agent-User Interaction): - The bi-directional connection between agentic backends and frontends. - This is how agents become truly interactive inside your apps, not just as chatbots, but collaborative co-workers. > MCP (Model Context Protocol): - The standard for how agents connect to tools, data, and workflows. > A2A (Agent-to-Agent): - The protocol for multi-agent coordination. - How agents delegate tasks and share intent across systems. These aren't competing standards. They're layers of the same stack and have handshakes with each other. So instead of building point-to-point integrations, you build to protocols. Moreover, you can integrate LangGraph, CrewAI, or Agno into the same frontend, without rewriting your UI logic. These protocols let everything work together. For instance: - Your LangGraph agent pulls data via MCP. - It delegates analysis to a CrewAI agent via A2A. - Results stream to your React app via AG-UI. - Users see real-time collaboration in your interface. This way, you can focus on building agent capabilities instead of integration mechanics. The protocols handle interoperability automatically. CopilotKit unifies this entire stack into one framework so you can build "Cursor for X" style apps without implementing each protocol from scratch. It gives you all three protocols, generative UI support, and production-ready infrastructure in one framework. I have shared this playbook in the replies! It breaks down handshakes, misconceptions, and real examples and shows exactly how to start building.

LangGraph. CrewAI. Agno. Which one to pick? The good news is that this will not matter soon! Finally, we have a full picture of how the industry is solving this with just three open protocols that work across ALL frameworks. It's not about picking the best framework. Instead, it's about understanding how protocols create interoperability. The Agent Protocol Landscape shows how three complementary protocols are creating a universal language for Agents: > AG-UI (Agent-User Interaction): - The bi-directional connection between agentic backends and frontends. - This is how agents become truly interactive inside your apps, not just as chatbots, but collaborative co-workers. > MCP (Model Context Protocol): - The standard for how agents connect to tools, data, and workflows. > A2A (Agent-to-Agent): - The protocol for multi-agent coordination. - How agents delegate tasks and share intent across systems. These aren't competing standards. They're layers of the same stack and have handshakes with each other. So instead of building point-to-point integrations, you build to protocols. Moreover, you can integrate LangGraph, CrewAI, or Agno into the same frontend, without rewriting your UI logic. These protocols let everything work together. For instance: - Your LangGraph agent pulls data via MCP. - It delegates analysis to a CrewAI agent via A2A. - Results stream to your React app via AG-UI. - Users see real-time collaboration in your interface. This way, you can focus on building agent capabilities instead of integration mechanics. The protocols handle interoperability automatically. CopilotKit unifies this entire stack into one framework so you can build "Cursor for X" style apps without implementing each protocol from scratch. It gives you all three protocols, generative UI support, and production-ready infrastructure in one framework. I have shared this playbook in the replies! It breaks down handshakes, misconceptions, and real examples and shows exactly how to start building.

Avi Chawla

31,074 Aufrufe • vor 11 Monaten

We’re launching the Latch MCP and announcing its availability within Claude Science, Anthropic’s new AI workbench for scientists. AI for biology requires agent-native infrastructure: systems where agents can store, process, and visualize large molecular datasets from the interfaces scientists already use. Biological analysis workflows often require substantial compute. Retries or incorrect long-running tool calls can quickly inflate workflow time and cost, especially when analyses take hours or days to complete. These tools should also be curated with appropriate parameters and agent-readable documentation, ideally provided by the original assay developer, to support correct use across many complex scientific contexts. At Latch, we’ve seen customers of our Solution Provider partners, including TakaraBio, Vizgen, and AtlasXOmics, use both the Latch Agent and external harnesses like Claude Code and Cursor to accelerate analysis of their data. The Latch MCP is a remote MCP server that securely connects agent harnesses to the Latch platform, giving agents access to verified bioinformatics tools built and maintained by kit and instrument providers. Agents can navigate data on Latch and launch existing deployments of validated bioinformatics workflows to analyze that data.

We’re launching the Latch MCP and announcing its availability within Claude Science, Anthropic’s new AI workbench for scientists. AI for biology requires agent-native infrastructure: systems where agents can store, process, and visualize large molecular datasets from the interfaces scientists already use. Biological analysis workflows often require substantial compute. Retries or incorrect long-running tool calls can quickly inflate workflow time and cost, especially when analyses take hours or days to complete. These tools should also be curated with appropriate parameters and agent-readable documentation, ideally provided by the original assay developer, to support correct use across many complex scientific contexts. At Latch, we’ve seen customers of our Solution Provider partners, including TakaraBio, Vizgen, and AtlasXOmics, use both the Latch Agent and external harnesses like Claude Code and Cursor to accelerate analysis of their data. The Latch MCP is a remote MCP server that securely connects agent harnesses to the Latch platform, giving agents access to verified bioinformatics tools built and maintained by kit and instrument providers. Agents can navigate data on Latch and launch existing deployments of validated bioinformatics workflows to analyze that data.

Kenny Workman

17,260 Aufrufe • vor 3 Monaten

AgentLinter is here! Is your agent sharp & secure? I built AgentLinter, a linter for and agent config files. Here's why. Whether you're vibe-coding or agent-coding, your AI's output quality comes down to one thing: how well you wrote your But managing these files properly? Way harder than it looks. 🎯 The Silent Failure Problem Vague instructions like "write good code" let the agent interpret however it wants. Output gets inconsistent, but nothing throws an error. The failure is silent. Anthropic's own docs say write "Use 2-space indentation" not "Format code properly." But as the file grows, spotting these with your eyes alone is nearly impossible. 🔐 The Security Problem People hard-code API keys and tokens directly into or and commit them, way more often than you'd think. AgentLinter stats show 1 in 5 workspaces has exposed credentials. .gitignore doesn't catch secrets buried inside markdown files. 💥 The Consistency Problem Multiple config files = contradictions. says "be a friendly assistant," says "concise, direct tone." The agent gets confused. references files that don't exist. Past 5 files, these conflicts triple. So I thought: is code. Code has ESLint. Why doesn't this have a linter? 🔍 What AgentLinter Does It diagnoses your agent config across 8 categories: 1) Structure: file organization 2) Clarity: instruction specificity 3) Completeness: missing definitions 4) Security: exposed secrets 5) Consistency: cross-file contradictions 6) Memory: session handoff 7) Runtime Config: gateway/auth settings 8) Skill Safety: dangerous shell commands & injection patterns Each scored 0–100 with concrete fix suggestions. Write "be helpful" and it tells you to specify response length, tone, and format. Find an API key? Instant CRITICAL alert to rotate. 🔒 Privacy-First & 100% Local Everything runs on your machine. Files never leave. Only the results are shared, and you can turn that off in settings. This matters — these files can contain system prompts, security rules, and personal context. Fully open source, MIT license, 100% free. 🛠️ Multi-Tool Support Works with Claude Code, Cursor, Windsurf, and Clawdbot. Detects for project mode, or clawdbot.json for agent mode and adjusts diagnostics automatically. 🚀 Get Started with one line npx agentlinter Node.js 18+, no config needed. Run it, check your score, fix what needs fixing. Happy vibe-coding & happy agent life! 🤙 Website: Github:

AgentLinter is here! Is your agent sharp & secure? I built AgentLinter, a linter for and agent config files. Here's why. Whether you're vibe-coding or agent-coding, your AI's output quality comes down to one thing: how well you wrote your But managing these files properly? Way harder than it looks. 🎯 The Silent Failure Problem Vague instructions like "write good code" let the agent interpret however it wants. Output gets inconsistent, but nothing throws an error. The failure is silent. Anthropic's own docs say write "Use 2-space indentation" not "Format code properly." But as the file grows, spotting these with your eyes alone is nearly impossible. 🔐 The Security Problem People hard-code API keys and tokens directly into or and commit them, way more often than you'd think. AgentLinter stats show 1 in 5 workspaces has exposed credentials. .gitignore doesn't catch secrets buried inside markdown files. 💥 The Consistency Problem Multiple config files = contradictions. says "be a friendly assistant," says "concise, direct tone." The agent gets confused. references files that don't exist. Past 5 files, these conflicts triple. So I thought: is code. Code has ESLint. Why doesn't this have a linter? 🔍 What AgentLinter Does It diagnoses your agent config across 8 categories: 1) Structure: file organization 2) Clarity: instruction specificity 3) Completeness: missing definitions 4) Security: exposed secrets 5) Consistency: cross-file contradictions 6) Memory: session handoff 7) Runtime Config: gateway/auth settings 8) Skill Safety: dangerous shell commands & injection patterns Each scored 0–100 with concrete fix suggestions. Write "be helpful" and it tells you to specify response length, tone, and format. Find an API key? Instant CRITICAL alert to rotate. 🔒 Privacy-First & 100% Local Everything runs on your machine. Files never leave. Only the results are shared, and you can turn that off in settings. This matters — these files can contain system prompts, security rules, and personal context. Fully open source, MIT license, 100% free. 🛠️ Multi-Tool Support Works with Claude Code, Cursor, Windsurf, and Clawdbot. Detects for project mode, or clawdbot.json for agent mode and adjusts diagnostics automatically. 🚀 Get Started with one line npx agentlinter Node.js 18+, no config needed. Run it, check your score, fix what needs fixing. Happy vibe-coding & happy agent life! 🤙 Website: Github:

Simon Kim

48,629 Aufrufe • vor 8 Monaten

ZKsync Removed a Major Barrier For Institutional Blockchain Adoption Matter Labs, the developer behind ZKsync (ZKsync), has open-sourced Prividium’s permissioning engine, giving institutions more control over their blockchain infrastructure. The step has been taken after receiving comments from regulated companies that they couldn’t rely on single vendor for important systems. Deutsche Bundesbank has started to test the engine in its infrastructure. Firms can now review, manage and edit the source code without any business deal. According to Matter Labs, this would help make Prividium better suited for regulated financial infrastructure.

ZKsync Removed a Major Barrier For Institutional Blockchain Adoption Matter Labs, the developer behind ZKsync (ZKsync), has open-sourced Prividium’s permissioning engine, giving institutions more control over their blockchain infrastructure. The step has been taken after receiving comments from regulated companies that they couldn’t rely on single vendor for important systems. Deutsche Bundesbank has started to test the engine in its infrastructure. Firms can now review, manage and edit the source code without any business deal. According to Matter Labs, this would help make Prividium better suited for regulated financial infrastructure.

BSCN

29,474 Aufrufe • vor 1 Monat

🚨 Alibaba just open sourced a GUI agent that lives inside your webpage and controls it with natural language. It's called Page Agent and it's not a browser extension. It's pure JavaScript no Python, no Puppeteer, no headless browser, no screenshots. Just one script tag and your web app understands natural language. Here's what it actually does: → Embed it with a single tag or npm install → Control any web interface with plain English commands → Text-based DOM manipulation no OCR, no vision models needed → Bring your own LLM (GPT, Claude, Qwen, anything) → Ships a built-in UI with human-in-the-loop support → Turn 20-click ERP/CRM workflows into one sentence → Optional Chrome extension for multi-tab agent tasks → Works on any web app SaaS, admin panels, internal tools Companies are charging $30/month for AI copilots built on this exact idea. This is 3 lines of code. Your users. Your interface. The AI copilot layer for every web app just got open sourced. 1.6K stars. 100% Open Source. (Link in the comments)

🚨 Alibaba just open sourced a GUI agent that lives inside your webpage and controls it with natural language. It's called Page Agent and it's not a browser extension. It's pure JavaScript no Python, no Puppeteer, no headless browser, no screenshots. Just one script tag and your web app understands natural language. Here's what it actually does: → Embed it with a single tag or npm install → Control any web interface with plain English commands → Text-based DOM manipulation no OCR, no vision models needed → Bring your own LLM (GPT, Claude, Qwen, anything) → Ships a built-in UI with human-in-the-loop support → Turn 20-click ERP/CRM workflows into one sentence → Optional Chrome extension for multi-tab agent tasks → Works on any web app SaaS, admin panels, internal tools Companies are charging $30/month for AI copilots built on this exact idea. This is 3 lines of code. Your users. Your interface. The AI copilot layer for every web app just got open sourced. 1.6K stars. 100% Open Source. (Link in the comments)

Ihtesham Ali

135,634 Aufrufe • vor 7 Monaten

OpenClaw, but built for normal people. Sim is an open-source platform that lets you build AI agent workflows on a drag-and-drop canvas. Connect them to channels like Telegram and WhatsApp and deploy without writing a single line of code. They also have a built-in Copilot that generates entire workflows from plain English, which you can then tweak and customize in the UI. Key features: - Free and open-source (Apache 2.0) - Vector store integration for RAG-grounded agents - Self-host with one command (`npx simstudio`) - Run fully local with Ollama, no API keys needed - Supports vLLM for production-grade self-hosted inference The thing I really like about Sim is the level of control you get. You can add conditional branching, parallel execution, human-in-the-loop approval gates, and even nest workflows inside other workflows. Everything is visible on the canvas, so you know exactly what your agent is doing at every step. And you can build a workflow in Sim, deploy it as an MCP server, and plug it into any agent, including OpenClaw. I've shared the link to Sim's GitHub repo in the next tweet.

OpenClaw, but built for normal people. Sim is an open-source platform that lets you build AI agent workflows on a drag-and-drop canvas. Connect them to channels like Telegram and WhatsApp and deploy without writing a single line of code. They also have a built-in Copilot that generates entire workflows from plain English, which you can then tweak and customize in the UI. Key features: - Free and open-source (Apache 2.0) - Vector store integration for RAG-grounded agents - Self-host with one command (`npx simstudio`) - Run fully local with Ollama, no API keys needed - Supports vLLM for production-grade self-hosted inference The thing I really like about Sim is the level of control you get. You can add conditional branching, parallel execution, human-in-the-loop approval gates, and even nest workflows inside other workflows. Everything is visible on the canvas, so you know exactly what your agent is doing at every step. And you can build a workflow in Sim, deploy it as an MCP server, and plug it into any agent, including OpenClaw. I've shared the link to Sim's GitHub repo in the next tweet.

Akshay 🚀

52,426 Aufrufe • vor 7 Monaten

Despite being told no, I'm open-sourcing Chatpack. You can now deploy production-ready chat to any app with 30+ native chat features in a single command using npx chatpack@latest I wanted to build a simple chat layer where anyone could add 24/7 live messaging to their app without spending weeks rebuilding the same infrastructure from scratch. Connect your existing auth and database, and Chatpack handles everything underneath. So today, we're open-sourcing Chatpack. > 24/7 real-time messaging between your users > typing, presence, read receipts, permissions, and conversation history > works with your existing auth + database, so your users and data stay yours Run it as a CLI or library. Fully open source. Repo is MIT licensed. If I were starting an AI company today, I'd clone this, pick a market, and begin shipping with Claude Code. Truly excited to see what comes out of this.

Despite being told no, I'm open-sourcing Chatpack. You can now deploy production-ready chat to any app with 30+ native chat features in a single command using npx chatpack@latest I wanted to build a simple chat layer where anyone could add 24/7 live messaging to their app without spending weeks rebuilding the same infrastructure from scratch. Connect your existing auth and database, and Chatpack handles everything underneath. So today, we're open-sourcing Chatpack. > 24/7 real-time messaging between your users > typing, presence, read receipts, permissions, and conversation history > works with your existing auth + database, so your users and data stay yours Run it as a CLI or library. Fully open source. Repo is MIT licensed. If I were starting an AI company today, I'd clone this, pick a market, and begin shipping with Claude Code. Truly excited to see what comes out of this.

Daniel Ch

82,848 Aufrufe • vor 2 Monaten

Using this new agent in ClickUp you can totally leapfrog the IDE, Cursor, Claude Code... Codegen is now available in ClickUp. "Hey Codegen, fix this bug" - me "PR submitted & ready for review!" - Codegen "Sweet, ship it" - me We've always believed that the future of AI value will be realized in horizontal software - today is a huge realization of this vision. Real example: This week our customer support reps started fixing features in real time. Product managers are now prototyping features themselves. You can mention Codegen or assign a task, and all of the optimized context is passed to the Agent to solve bugs and ship improvements with one shot. Available for everyone today.

Using this new agent in ClickUp you can totally leapfrog the IDE, Cursor, Claude Code... Codegen is now available in ClickUp. "Hey Codegen, fix this bug" - me "PR submitted & ready for review!" - Codegen "Sweet, ship it" - me We've always believed that the future of AI value will be realized in horizontal software - today is a huge realization of this vision. Real example: This week our customer support reps started fixing features in real time. Product managers are now prototyping features themselves. You can mention Codegen or assign a task, and all of the optimized context is passed to the Agent to solve bugs and ship improvements with one shot. Available for everyone today.

Zeb Evans

11,706 Aufrufe • vor 1 Jahr

this FREE MCP just replaced my entire $12K/month brand research team (I literally made this FREE) while you're downloading n8n workflows you'll never actually use... this thing creates detailed psychological profiles from any Twitter account or website in 30 seconds - zero installation - no python - no custom code - just pure intelligence here's what's actually happening: most people think AI automation has to be complicated they're trying to become overnight developers building complex workflows that break after one week burning hours on setups they'll abandon in 3 days meanwhile professionals are using simple tools that actually solve business problems you don't need to become a developer to use AI intelligently you just need the right tools this MCP gives you what $500/hour consultants charge for: → complete psychological profiles of any Twitter account → brand DNA extraction (colors, fonts, layouts) → content strategy insights normally reserved for agencies → analysis detailed enough to recreate entire brands think about what this replaces: expensive consultant fees ✓ manual competitor research ✓ hours of brand analysis ✓ complex automation nightmares ✓ the setup is embarrassingly simple: step 1 → click link in comments step 2 → get your MCP code step 3 → add to claude settings step 4 → analyze any brand instantly total time: 30 seconds we're scaling this to analyze 1,000+ tweets soon adding LinkedIn, YouTube, TikTok, Instagram next early access is completely free right now while everyone else is trying to learn python... you'll be extracting million-dollar brand insights in under a minute comment "MCP" + repost this + like + bookmark (you must follow or I CANT DM) i'll drop the link in your DMs don't sleep on this every day you wait is premium intelligence you're leaving on the table

4nzn

13,547 Aufrufe • vor 1 Jahr

one of my favorite ways to use claude code skills right now - combining remotion with claude-in-chrome for motion video creation. the workflow is addictive. the clip you see here was produced with minimal prompting effort let me know if you would like me to write a full break down of this process. you describe to claude code what you want, claude code writes the remotion components, opens the remotion studio (via browser) with claude-in-chrome, sees the actual rendered output, and iterates on it in real time. need the arrows pointing to the center of the bubbles instead of the edge? just say it. need the layout shifted to the center? say it. claude sees the preview, adjusts the code, re-renders. then when you're happy you tell claude code to render the final video. but skills are what make this possible. remotion knowledge + browser automation + the taste to iterate visually. no copy pasting screenshots back and forth. no "can you try moving it 10px to the right" over chat. it just looks and fixes. this is the kind of workflow that makes you realize how much further claude code can go beyond just writing code in a terminal. i didn't touch any code while working on the clip you see if you haven't tried combining skills together like this - start experimenting. the skills combos is where the magic is at.

one of my favorite ways to use claude code skills right now - combining remotion with claude-in-chrome for motion video creation. the workflow is addictive. the clip you see here was produced with minimal prompting effort let me know if you would like me to write a full break down of this process. you describe to claude code what you want, claude code writes the remotion components, opens the remotion studio (via browser) with claude-in-chrome, sees the actual rendered output, and iterates on it in real time. need the arrows pointing to the center of the bubbles instead of the edge? just say it. need the layout shifted to the center? say it. claude sees the preview, adjusts the code, re-renders. then when you're happy you tell claude code to render the final video. but skills are what make this possible. remotion knowledge + browser automation + the taste to iterate visually. no copy pasting screenshots back and forth. no "can you try moving it 10px to the right" over chat. it just looks and fixes. this is the kind of workflow that makes you realize how much further claude code can go beyond just writing code in a terminal. i didn't touch any code while working on the clip you see if you haven't tried combining skills together like this - start experimenting. the skills combos is where the magic is at.

elvis

46,533 Aufrufe • vor 8 Monaten

🧮 Math v0.1.0 is out now! 🧮 We asked and Opus one shot... just kidding. Our resident expert isaacmason hand crafted the playful web's most optimized math engine. → allocation-free, monomorphic and benchmarked for speed → tiny and tree-shakable, only pay for what you use → works with webgl, webgpu, wasm or your favourite renderer → data-oriented design for the fastest possible code Includes a skill for juicing up your agent. Just /math and it will produce optimized algorithms for you. This should be an easy addition to any creative dev project. And the best part? 'npm i math'

🧮 Math v0.1.0 is out now! 🧮 We asked and Opus one shot... just kidding. Our resident expert isaacmason hand crafted the playful web's most optimized math engine. → allocation-free, monomorphic and benchmarked for speed → tiny and tree-shakable, only pay for what you use → works with webgl, webgpu, wasm or your favourite renderer → data-oriented design for the fastest possible code Includes a skill for juicing up your agent. Just /math and it will produce optimized algorithms for you. This should be an easy addition to any creative dev project. And the best part? 'npm i math'

Poimandres

84,303 Aufrufe • vor 18 Tagen

Bug fixes shipping to Grok Build 0.2.13 (release notes will be available in the TUI and on change-log website) We are leveraging the alt-screen to better handle your background tasks, subagents, monitors with smart grouping allowing you to navigate between them quickly • Group Subagents → Tasks → Watchers, within subagents, order by agent type (Explore, General, Plan) • Show timestamps on pinned user messages at top of scrollback • Fix command highlighting when prompt has paste chips • Update the context-usage indicator to show tokens by default • ANSI16 fallback for themes • Better context usage breakdown/rendering • Update highlighting for /loop, monitor, tag colors • Tab now cycles Prompt → Scrollback → Tasks → Prompt • Order gateway turn-completion after streamed content • Formatting: fix language-tagged fenced code blocks and fix code under a list item

Bug fixes shipping to Grok Build 0.2.13 (release notes will be available in the TUI and on change-log website) We are leveraging the alt-screen to better handle your background tasks, subagents, monitors with smart grouping allowing you to navigate between them quickly • Group Subagents → Tasks → Watchers, within subagents, order by agent type (Explore, General, Plan) • Show timestamps on pinned user messages at top of scrollback • Fix command highlighting when prompt has paste chips • Update the context-usage indicator to show tokens by default • ANSI16 fallback for themes • Better context usage breakdown/rendering • Update highlighting for /loop, monitor, tag colors • Tab now cycles Prompt → Scrollback → Tasks → Prompt • Order gateway turn-completion after streamed content • Formatting: fix language-tagged fenced code blocks and fix code under a list item

skcd

15,075 Aufrufe • vor 4 Monaten

I just built a complete SEO audit plugin in Claude Code that replaces your $200/mo Ahrefs subscription 🤯 One Claude Plugin audits any store: technical SEO, product schema, content, Core Web Vitals, and AI-search readiness. Parallel agents, a 0-100 score, and a dashboard that renders right in the panel. All inside Claude Code. So I pointed it at Ridge .com, one of the sharpest DTC operators out there. It came back 56/100, and what stood out wasn't a knock on them at all: Ridge has a better AI-commerce setup than 99% of stores. A real llms.txt, an agent-discovery sitemap, a live MCP endpoint, genuinely ahead of the curve. And even on a store that dialed-in, the audit surfaced fixable gaps in ~90 seconds: → Room to add product structured data → A mobile Core Web Vitals score worth tightening → A thin meta description on a high-traffic collection Perfect for e-comm operators and SEO agencies who are sick of paying $200/mo for tools that bury the real issues, running quarterly audits that take a week, and shipping reports nobody can act on. So I put together the full playbook to build your own. The complete guide to building this Plugin in Claude Code: branded to you, tuned to exactly how you audit, repeatable across every client. The kind of audit you run in minutes and hand over as a deliverable that looks like it cost thousands. What's inside: → The architecture (orchestrator + parallel sub-agents) → How to fetch any store past Cloudflare → The 0-100 scoring + falsifiable-findings framework → How to ship the HTML dashboard for client demos → The full build, start to finish Want the playbook for free? > Like this post > Comment "SEO" And I'll send it over (must be following so I can DM)

I just built a complete SEO audit plugin in Claude Code that replaces your $200/mo Ahrefs subscription 🤯 One Claude Plugin audits any store: technical SEO, product schema, content, Core Web Vitals, and AI-search readiness. Parallel agents, a 0-100 score, and a dashboard that renders right in the panel. All inside Claude Code. So I pointed it at Ridge .com, one of the sharpest DTC operators out there. It came back 56/100, and what stood out wasn't a knock on them at all: Ridge has a better AI-commerce setup than 99% of stores. A real llms.txt, an agent-discovery sitemap, a live MCP endpoint, genuinely ahead of the curve. And even on a store that dialed-in, the audit surfaced fixable gaps in ~90 seconds: → Room to add product structured data → A mobile Core Web Vitals score worth tightening → A thin meta description on a high-traffic collection Perfect for e-comm operators and SEO agencies who are sick of paying $200/mo for tools that bury the real issues, running quarterly audits that take a week, and shipping reports nobody can act on. So I put together the full playbook to build your own. The complete guide to building this Plugin in Claude Code: branded to you, tuned to exactly how you audit, repeatable across every client. The kind of audit you run in minutes and hand over as a deliverable that looks like it cost thousands. What's inside: → The architecture (orchestrator + parallel sub-agents) → How to fetch any store past Cloudflare → The 0-100 scoring + falsifiable-findings framework → How to ship the HTML dashboard for client demos → The full build, start to finish Want the playbook for free? > Like this post > Comment "SEO" And I'll send it over (must be following so I can DM)

Mike Futia

55,845 Aufrufe • vor 4 Monaten

this is straight f*cking gold 297 pages on building a $100K/month business with zero employees. 8 parts, 40 chapters, 50 links most founders still pay people to research leads, update CRMs and write reports while the AI sits on the sidelines making suggestions the stack it walks you through: > Kimi K3 - the brain behind the business > Kimi Code - the hands that do the work > Skills - encode your best employee once, reuse them forever > MCP - keys to the systems that actually matter > AgentSwarm - scale one agent into a workforce there's a full case study inside: the idea, the agents, the real revenue and infra numbers, and everything that broke on the way growth used to scale with payroll now it scales with how many expensive workflows you can rip out without breaking anything one founder + the right systems = $100K/month without the payroll that used to come with it

this is straight f*cking gold 297 pages on building a $100K/month business with zero employees. 8 parts, 40 chapters, 50 links most founders still pay people to research leads, update CRMs and write reports while the AI sits on the sidelines making suggestions the stack it walks you through: > Kimi K3 - the brain behind the business > Kimi Code - the hands that do the work > Skills - encode your best employee once, reuse them forever > MCP - keys to the systems that actually matter > AgentSwarm - scale one agent into a workforce there's a full case study inside: the idea, the agents, the real revenue and infra numbers, and everything that broke on the way growth used to scale with payroll now it scales with how many expensive workflows you can rip out without breaking anything one founder + the right systems = $100K/month without the payroll that used to come with it

Mr. Buzzoni

44,700 Aufrufe • vor 1 Monat

Claude Design + Shopify is f*cking ridiculous 🤯 You can now publish pages from Claude Design → Claude Code → Shopify. Built 100% with Claude Design, Claude Code, and the Shopify CLI. Perfect for DTC brands and agencies who want to skip the design → dev handoff entirely. Here's how it works: → Design any landing page in Claude Design → Export as a zip and drop it into Claude Code → Install the Shopify + Shopify AI Toolkit plugins → Prompt Claude to convert the HTML into a Shopify page template + push to live theme → Claude uploads the images, deploys the files, and creates a published page No more handing designs off to a dev and waiting 2 weeks for a Shopify page. What you get: - A workflow that turns any Claude Design page into a real Shopify page template - Editable sections so your marketing team can swap copy, images, and CTAs without code - Images uploaded straight to Shopify Files automatically - A files-only deploy that only touches what's new in your live theme - A repeatable pipeline you can use every time you design a new landing page This is essentially the design-to-deploy pipeline brands have been waiting for. I put together a step-by-step playbook for going from Claude Design → published Shopify page. Every install, every plugin, every command, and the exact prompt that runs the whole thing. Want the playbook for free? > Like this post > Comment "SHOP" And I'll send it over (must be following so I can DM)

Claude Design + Shopify is f*cking ridiculous 🤯 You can now publish pages from Claude Design → Claude Code → Shopify. Built 100% with Claude Design, Claude Code, and the Shopify CLI. Perfect for DTC brands and agencies who want to skip the design → dev handoff entirely. Here's how it works: → Design any landing page in Claude Design → Export as a zip and drop it into Claude Code → Install the Shopify + Shopify AI Toolkit plugins → Prompt Claude to convert the HTML into a Shopify page template + push to live theme → Claude uploads the images, deploys the files, and creates a published page No more handing designs off to a dev and waiting 2 weeks for a Shopify page. What you get: - A workflow that turns any Claude Design page into a real Shopify page template - Editable sections so your marketing team can swap copy, images, and CTAs without code - Images uploaded straight to Shopify Files automatically - A files-only deploy that only touches what's new in your live theme - A repeatable pipeline you can use every time you design a new landing page This is essentially the design-to-deploy pipeline brands have been waiting for. I put together a step-by-step playbook for going from Claude Design → published Shopify page. Every install, every plugin, every command, and the exact prompt that runs the whole thing. Want the playbook for free? > Like this post > Comment "SHOP" And I'll send it over (must be following so I can DM)

Mike Futia

59,436 Aufrufe • vor 5 Monaten

This is the most DANGEROUS thing on the internet right now 143k stars in 2 days and that says it all REA (Reverse Engineer Anything) this open-source MCP lets your AI agent deconstruct any app, all the way down to machine code I unlocked TradingView's full feature set using REA and got FREE access to their premium indicators. The software is ready to go How it works: 1. Direct REA to TradingView’s public web application to map out all core functionalities, including chart controls, technical indicators, and alert mechanisms 2. Observe and document system behavior when modifying symbols, adjusting timeframes, overlaying indicators, plotting chart levels, or saving custom dashboard layouts 3. Leverage REA’s suite of MCP tools to inspect accessible software artifacts and map underlying application workflows based on concrete evidence 4. Supply these technical insights to Claude Opus 5.5 to produce a comprehensive specification and an actionable implementation roadmap 5. Engineer an independent charting platform complete with live market feeds, candlestick rendering, technical analysis tools, drawing features, and saved watchlists 6. Integrate a quantitative strategy engine capable of backtesting against historical market data while accounting for trading fees, price slippage, and maximum drawdowns 7. Systematically test every subsystem against real-world and benchmarked behaviors, resolving bugs iteratively until the platform operates seamlessly 8. Deliver a fully custom, end-to-end TradingView-inspired quantitative research workstation built on fully owned, extensible source code This is worth a shot

This is the most DANGEROUS thing on the internet right now 143k stars in 2 days and that says it all REA (Reverse Engineer Anything) this open-source MCP lets your AI agent deconstruct any app, all the way down to machine code I unlocked TradingView's full feature set using REA and got FREE access to their premium indicators. The software is ready to go How it works: 1. Direct REA to TradingView’s public web application to map out all core functionalities, including chart controls, technical indicators, and alert mechanisms 2. Observe and document system behavior when modifying symbols, adjusting timeframes, overlaying indicators, plotting chart levels, or saving custom dashboard layouts 3. Leverage REA’s suite of MCP tools to inspect accessible software artifacts and map underlying application workflows based on concrete evidence 4. Supply these technical insights to Claude Opus 5.5 to produce a comprehensive specification and an actionable implementation roadmap 5. Engineer an independent charting platform complete with live market feeds, candlestick rendering, technical analysis tools, drawing features, and saved watchlists 6. Integrate a quantitative strategy engine capable of backtesting against historical market data while accounting for trading fees, price slippage, and maximum drawdowns 7. Systematically test every subsystem against real-world and benchmarked behaviors, resolving bugs iteratively until the platform operates seamlessly 8. Deliver a fully custom, end-to-end TradingView-inspired quantitative research workstation built on fully owned, extensible source code This is worth a shot

Bober_smart

16,318 Aufrufe • vor 20 Stunden