rag-retrieval-pattern-design
curiositech/port-daddyUse when designing or fixing the retrieval side of a RAG system, choosing chunking strategy (fixed-size / recursive / semantic), implementing hybrid search…
Scores out of 100 · grade B+
2026-08-22Works
40% of the score100/100
- Loads cleanly: valid frontmatter, required fields present, no dangling references.
Maintained
25% of the score94/100
- no commits in the last 12 weeks
- no license file
Adopted
20% of the score7/100
- 2 stars on the source repo.
Documented
15% of the score91/100
- 2,639 words with worked examples.
- Ships 4 bundled files.
Install
npx skills add curiositech/port-daddy/rag-retrieval-pattern-designWhat the check found
| Finding | What it means |
|---|---|
| No license | The repository ships no license file, so the reuse terms are unclear. |
What it says it does
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.
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