Fetches official documentation, API signatures, and usage examples for libraries, frameworks, and error messages.
Docs Seeker acts as a specialized research agent for developers, streamlining the process of finding technical documentation directly within your workflow. By prioritizing high-quality, AI-optimized sources like Context7 MCP and llms.txt files before falling back to general web searches, it provides precise API signatures, minimal code examples, and critical version-specific deprecation warnings. This skill is particularly useful for debugging unclear errors, verifying framework assumptions, and ensuring your code follows the latest best practices without manually scouring search results.
Características Principales
0158 GitHub stars
02Multi-tier lookup strategy prioritizing Context7 MCP and llms.txt
03Extraction of exact API signatures with parameter and return types
04Version-specific guidance including deprecation notices
05Discovery of AI-optimized documentation for faster context loading
06Automatic repository analysis via Repomix for sparse documentation
Casos de Uso
01Verifying if a specific API has changed or been deprecated in newer versions
02Resolving cryptic error messages by finding official fixes and known issues
03Looking up method signatures and usage patterns for unfamiliar libraries