modbender Docs Feeder
Auto-fetch project documentation and feed it to your AI agent for debugging and learning.
Triggers
docs feed <project>fetch docs <URL>
How It Works
- Registry Lookup — 50+ built-in projects (React, Next.js, Hono, Prisma, Anthropic, etc.)
- Fetch Priority:
/llms-full.txt→ Full LLM-friendly docs/llms.txt→ Compact version- GitHub README → Fallback
- Smart Discovery — Unknown projects try common patterns (
docs.xxx.com,xxx.dev) - Size Warning — Alerts when docs exceed 500KB
Usage
# By project name (auto-lookup)
node fetch-docs.js nextjs
# By URL (direct fetch)
node fetch-docs.js https://docs.anthropic.com
# Raw content only (no metadata header)
node fetch-docs.js react --raw
# Save to file
node fetch-docs.js prisma --save
# List all supported projects
node fetch-docs.js --list
Built-in Registry
50+ projects including: React, Next.js, Vue, Svelte, Astro, Hono, Express, Fastify, NestJS, Prisma, Drizzle, tRPC, Zod, Tailwind CSS, shadcn/ui, TypeScript, Vite, Bun, Deno, Playwright, Vitest, Supabase, Stripe, Clerk, Anthropic, OpenAI, LangChain, Docker, Kubernetes, Terraform, Rust, Go, Python, FastAPI, Django, and more.
Edit docs-registry.json to add your own projects.
Registry Format
{
"myproject": {
"url": "https://myproject.dev",
"llms": "/llms-full.txt",
"github": "org/repo",
"local": "/path/to/local/docs"
}
}
Workflow
Fetch docs, then describe your problem:
→ node fetch-docs.js nextjs
→ [docs loaded into context]
"I'm getting a hydration mismatch error with App Router..."
→ [AI gives solution based on complete documentation]
Why This Works
Most modern doc sites ship /llms.txt or /llms-full.txt — a single file with the entire knowledge base formatted for LLMs. Instead of searching + reading + understanding docs manually, dump the whole thing into context and let the AI cross-reference.
Requirements
- Node.js (no external dependencies)