fetch-library-docs

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Fetches official documentation for external libraries and frameworks (React, Next.js, Prisma, FastAPI, Express, Tailwind, MongoDB, etc.) with 60-90% token savings via content-type filtering. Use this skill when implementing features using library APIs, debugging library-specific errors, troubleshooting configuration issues, installing or setting up frameworks, integrating third-party packages, upgrading between library versions, or looking up correct API patterns and best practices. Triggers automatically during coding work - fetch docs before writing library code to get correct patterns, not after guessing wrong.

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NPX Install

npx skill4agent add panaversity/claude-code-skills-lab fetch-library-docs

SKILL.md Content

Library Documentation Skill

Fetches official library documentation with 60-90% token savings.

WHEN TO INVOKE (Auto-Detection)

INVOKE AUTOMATICALLY when:
ContextDetection SignalContent Type
ImplementingAbout to write code using library API
examples,api-ref
DebuggingError contains library name (e.g.,
PrismaClientError
)
troubleshooting
InstallingAdding new package,
npm install
, setup task
setup
IntegratingConnecting libraries ("use X with Y")
examples,setup
UpgradingVersion migration, breaking changes
migration
UncertainFirst use of library feature, unsure of pattern
examples
DO NOT INVOKE when:
  • Already have sufficient knowledge from training
  • User pasted docs or has them open
  • Task is about local/private code (use codebase search)
  • Comparing libraries (use web search)

DECISION LOGIC

1. Identify Library

Priority: User mention → Error message → File imports → package.json → Ask user
Examples:
  • PrismaClientKnownRequestError
    → library = "prisma"
  • import { useState } from 'react'
    → library = "react"
  • from fastapi import FastAPI
    → library = "fastapi"

2. Identify Topic

Priority: User specifies → Error message → Feature being implemented → "getting started"

3. Select Content Type

TaskContent Type
Implementing code
examples,api-ref
Debugging error
troubleshooting,examples
Installing/setup
setup
Integrating libs
examples,setup
Upgrading version
migration
Understanding why
concepts
Best practices
patterns

EXECUTION

IMPORTANT: Always use the Python entry point (
fetch-docs.py
) for cross-platform compatibility.
Use
python3
on Linux/macOS/WSL,
python
on Windows:
bash
# With known library ID (faster - saves 1 API call)
python3 scripts/fetch-docs.py --library-id <id> --topic "<topic>" --content-type <types>

# With library name (auto-resolves)
python3 scripts/fetch-docs.py --library <name> --topic "<topic>" --content-type <types>
Windows note: Use
python
instead of
python3
(e.g.,
python scripts/fetch-docs.py ...
)

Quick Library IDs

LibraryID
React
/reactjs/react.dev
Next.js
/vercel/next.js
Prisma
/prisma/docs
Tailwind
/tailwindlabs/tailwindcss.com
FastAPI
/tiangolo/fastapi
See references/library-ids.md for complete list.

ERROR HANDLING (Quick Reference)

ErrorAction
[LIBRARY_NOT_FOUND]
Try spelling variations
[LIBRARY_MISMATCH]
Use --library-id directly
[EMPTY_RESULTS]
Broaden topic or use
--content-type all
[RATE_LIMIT_ERROR]
Check API key setup
Call Budget: Context7 allows 3 calls/question. Use
--library-id
to save 1 call.
See references/context7-tools.md for full error handling.

REFERENCES

  • Library IDs - Complete library ID list
  • Usage Patterns - Real-world examples
  • Context7 Tools - API details, error codes, setup