knowledge-retrieval
Semantic search over ingested documents using RAG (LlamaIndex/ChromaDB or Foundational RAG)
Profile →npx skills add open-gitagent/opengap --skill knowledge-retrieval --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Knowledge Retrieval Perform semantic search over a pre-ingested document collection using Retrieval-Augmented Generation (RAG). Backed by LlamaIndex with ChromaDB or NVIDIA Foundational RAG. ## When to Use - Searching internal or pre-ingested documents and reports - Finding information in PDFs, whitepapers, or technical documentation - Retrieving domain-specific knowledge not available on the op
What does the knowledge-retrieval skill do?
Semantic search over ingested documents using RAG (LlamaIndex/ChromaDB or Foundational RAG)
How do I install it?
Run `npx skills add open-gitagent/opengap --skill knowledge-retrieval --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From open-gitagent/opengap, a repository with 2,909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.