Agent skill

vector-store

Transient vector store service for fast similarity search (FAISS)

majiayu000534★ · 1 repos on radarProfile →
claude-coderead-onlyMIT
Install
npx skills add majiayu000/claude-skill-registry --skill vector-store-grahama1970-agent-skills --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 1 KB
Bundled scripts: none
Allowed tools: curl
Path: skills/ai-ml/vector-store-grahama1970-agent-skills/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Vector Store Skill Transient vector store service for fast similarity search using FAISS (IndexFlatIP). Designed to be used by other skills (memory, edge-verifier) to accelerate KNN search. ## Configuration - `VECTOR_STORE_PORT`: Port to listen on (default: 8600) ## API ### POST /index Add vectors to the index. ```json { "ids": ["id1", "id2"], "vectors": [[0.1, 0.2, ...], [0.3, 0.4, ...]], "reset": false } ``` ### POST /search Search for nearest neighbors. ```json { "query": [0.1, 0.2, ...], "k": 10 } ``` Returns: ```json { "ids": ["id2", "id1"], "scores": [0.95, 0.88] } ``` ### DELETE /reset Clear the index. ### GET /info Get index stats.

What's inside
Steps it walks through
  1. Configuration
  2. API
  3. POST /index
  4. POST /search
  5. DELETE /reset
  6. GET /info
Ships with 1 file
  • metadata.json
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About this skill
What does the vector-store skill do?

Transient vector store service for fast similarity search (FAISS)

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill vector-store-grahama1970-agent-skills --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 majiayu000/claude-skill-registry, a repository with 534 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.

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