Use when designing or fixing the retrieval side of a RAG system, choosing chunking strategy (fixed-size / recursive / semantic), implementing hybrid search (BM25 + dense) with RRF fusion, adding a cross-encoder reranker, evaluating with RAGAS, or running an index-freshness pipeline. Triggers: "RAG keeps citing the wrong doc", chunk size 512 tokens with overlap, RRF reciprocal rank fusion, dense+sparse hybrid, cross-encoder rerank top-5, RAGAS faithfulness / context precision, voyage-3-large vs text-embedding-3-large, daily / hourly reindex cadence. NOT for fine-tuning vs RAG decision (separate skill), agentic tool-use designs, vector DB operational tuning, or general LLM prompt engineering.
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryGeneralStars0
About this skill
Use when designing or fixing the retrieval side of a RAG system, choosing chunking strategy (fixed-size / recursive / semantic), implementing hybrid search (BM25 + dense) with RRF fusion, adding a cross-encoder reranker, evaluating with RAGAS, or running an index-freshness pipeline. Triggers: "RAG keeps citing the wrong doc", chunk size 512 tokens with overlap, RRF reciprocal rank fusion, dense+sparse hybrid, cross-encoder rerank top-5, RAGAS faithfulness / context precision, voyage-3-large vs text-embedding-3-large, daily / hourly reindex cadence. NOT for fine-tuning vs RAG decision (separate skill), agentic tool-use designs, vector DB operational tuning, or general LLM prompt engineering.
Quick start
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Use when designing or fixing the retrieval side of a RAG system, choosing chunking strategy (fixed-size / recursive / semantic), implementing hybrid search (BM25 + dense) with RRF fusion, adding a cross-encoder reranker, evaluating with RAGAS, or running an index-freshness pipeline. Triggers: "RAG keeps citing the wrong doc", chunk size 512 tokens with overlap, RRF reciprocal rank fusion, dense+sparse hybrid, cross-encoder rerank top-5, RAGAS faithfulness / context precision, voyage-3-large vs text-embedding-3-large, daily / hourly reindex cadence. NOT for fine-tuning vs RAG decision (separate skill), agentic tool-use designs, vector DB operational tuning, or general LLM prompt engineering.
About this listing
Category
General
Reported license
Not specified
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.