Last commit on February 1, 2026·Created on February 1, 2026
ConardLi/rag-skill
“A progressive retrieval system for querying local knowledge bases across diverse file formats.”
Combined rank
#398
across all skills
Stars
711
7d change unavailable
Forks
203
Watchers
5
Traction scoreGitHub stars can be faked, so popularity alone can be misleading. Traction Score looks for broader signs of real attention, adoption, and active maintenance.
TL;DR
This skill provides a structured approach to searching and answering questions from local directories containing mixed media. It employs hierarchical index navigation to locate information without loading entire files into memory, making the retrieval process more efficient for large datasets.
By integrating specialized tools like pdfplumber and pandas, the system handles PDFs and Excel spreadsheets through a reference-first learning method. This ensures that data extraction is precise and tailored to the specific structure of each document type.
WHO IT'S FOR
AI agent / automation builders
implement local RAG workflows for AI assistants
Knowledge management specialists
organize local documentation for AI retrieval
Backend / infrastructure engineers
integrate local file processing tools for AI
AI agent power users
query local datasets via AI assistants
Compatible AgentsThe repository documents support for these agents. The skills may also work with other agents that can load SKILL.md files, but they may need some setup or small changes.
Want to install it?
Manual CopyRepository instructions