embeddings-search
ericrisco/rsc-harnessUse when choosing an embedding model, chunk size, or query form, when semantic search returns irrelevant results, when adding hybrid BM25+vector or a…
Scores out of 100 · grade A
2026-08-23Works
40% of the score100/100
- Loads cleanly: valid frontmatter, required fields present, no dangling references.
Maintained
25% of the score100/100
- no commits in the last 12 weeks
Adopted
20% of the score24/100
- 54 stars on the source repo.
Documented
15% of the score100/100
- 1,504 words with worked examples.
- Ships 5 bundled files.
Install
npx skills add ericrisco/rsc-harness/embeddings-searchWhat it says it does
Use when choosing an embedding model, chunk size, or query form, when semantic search returns irrelevant results, when adding hybrid BM25+vector or a reranker, or when a retrieval change needs a number (recall@k, nDCG, MRR). NOT operating the store — index tuning, quantization (that is `vector-db`) — nor the retrieve-to-answer loop (that is `rag`).
Also in ericrisco/rsc-harness
| Artifact | Score | What the check found | Type | Reach | Last commit |
|---|---|---|---|---|---|
| ab-testingericrisco/rsc-harness | clean | Skill | 54 stars | today | |
| accessibilityericrisco/rsc-harness | clean | Skill | 54 stars | today | |
| adsericrisco/rsc-harness | clean | Skill | 54 stars | today | |
| agent-evalericrisco/rsc-harness | clean | Skill | 54 stars | today | |
| ai-mediaericrisco/rsc-harness | clean | Skill | 54 stars | today | |
| analyticsericrisco/rsc-harness | clean | Skill | 54 stars | today |
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