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Help Content from Code
Turn any codebase into help articles your AI agent can use
A Claude Code skill that reads your codebase and writes a complete help center — no templates, no manual work. It analyzes routes, components, config schemas, and error messages to build a content plan, then writes professional articles optimized for AI agent retrieval. Every claim traces back to actual source code. Articles are structured so tools like Intercom’s Fin, Zendesk AI, or any RAG system can retrieve and use them accurately. Plain markdown output — import anywhere, no vendor lock-in.
I built this to solve a specific problem: you’re a startup, you want to set up an AI support agent, but it needs a knowledge base — and you don’t have one. Writing help articles from scratch takes weeks, and you’ve got a hundred other things to ship.
But the answers already exist in your codebase. Every feature, config option, and error message is already defined in code. The missing step was extracting that into articles structured for how AI agents actually retrieve and use information.
Help Content from Code is a Claude Code skill that does exactly that. Point it at your project and it generates a full set of help articles — grounded in source code, optimized for RAG retrieval, ready to import into Fin or any other customer support AI Agent.
Some examples from the demo site:
- Ollama → 13 articles, 18,637 words
- QMD → 8 articles, 16,064 words
- Pearcleaner → 12 articles, 17,358 words
Install with `npx skills add gustavscirulis/help-content-from-code`, open any repo, and ask it to write help articles. Also works with GitHub Copilot, Cursor, and Gemini CLI.
Would love to see what you generate with it!
About Help Content from Code on Product Hunt
“Turn any codebase into help articles your AI agent can use”
Help Content from Code was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #121 on the daily leaderboard. A Claude Code skill that reads your codebase and writes a complete help center — no templates, no manual work. It analyzes routes, components, config schemas, and error messages to build a content plan, then writes professional articles optimized for AI agent retrieval. Every claim traces back to actual source code. Articles are structured so tools like Intercom’s Fin, Zendesk AI, or any RAG system can retrieve and use them accurately. Plain markdown output — import anywhere, no vendor lock-in.
On the analytics side, Help Content from Code competes within Open Source, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Help Content from Code performed against the three products that launched closest to it on the same day.
Who hunted Help Content from Code?
Help Content from Code was hunted by Gustavs Cirulis. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Help Content from Code including community comment highlights and product details, visit the product overview.
Gustavs Cirulis