vector-search
vector-search is a RAG & retrieval skill for AI agents, published by pvillega in the claude-templates repository on GitHub. Skillspace rates vector-search D (58/100) and it passed the safety scan; the rating is based on static analysis only.
Deep vector / ANN search operational intuition — HNSW/IVF tuning, PQ/SQ/BQ quantization, the cosine-via-IP trap, pgvector internals, filter-aware ANN, hybrid retrieval, embedding drift. Load when sizing ANN indexes, picking a vector DB, designing filter-aware search, or migrating embedding versions. Skip for embedding-model fine-tuning, RAG-app design, generic Postgres tuning, or ranker training. Pairs with `rag-ops` for the application layer. Triggers on: "HNSW", "efSearch", "nprobe", "halfvec", "iterative_scan", "ACORN", "RRF", "DiskANN", "recall@k", "cosine vs IP", "pgvector", "Qdrant".
- Grade
- D
- Quality
- 58 / 100
- Safety
- Passed
- GitHub stars
- 23
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 81 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.