Docs Seeker

About

Docs Seeker streamlines the process of finding and digesting technical documentation for libraries and frameworks by prioritizing AI-friendly formats and structured data. It leverages the llms.txt standard for efficient reading, uses Repomix to ingest entire GitHub repositories, and deploys parallel exploration agents to handle large-scale documentation sets simultaneously. This skill is essential for developers who need to stay current with rapidly evolving ecosystems or require deep context from complex, multi-page technical resources without manual searching.

Key Features

• Parallel exploration using multiple agents to digest large documentation sets simultaneously.
• Automated fallback research strategies when official documentation is sparse or missing.
• Intelligent version handling for specific library or framework requirements.
• Standardized discovery using the llms.txt format for AI-optimized consumption.
• GitHub repository analysis and packing via Repomix integration.
• 0 GitHub stars

Use Cases

• Aggregating information from scattered technical sources into a consolidated, AI-ready report.
• Fetching the most up-to-date documentation for rapidly evolving libraries and frameworks.
• Analyzing a complete codebase from GitHub to understand internal implementation details.