vector-db
Handles vector databases for efficient storage and querying of high-dimensional vectors in AI/ML applications.
Profile →npx skills add majiayu000/claude-skill-registry --skill vector-db-alphaonedev-openclaw-graph --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# vector-db ## Purpose This skill enables the management of vector databases for storing, indexing, and querying high-dimensional vectors, optimizing AI/ML workflows for tasks like similarity searches and embeddings. ## When to Use Use this skill for AI/ML applications requiring fast vector similarity queries, such as building recommendation engines, semantic search in NLP, or image retrieval systems. Apply it when dealing with large-scale vector data (e.g., embeddings from models like BERT) to avoid brute-force comparisons. ## Key Capabilities - Store vectors with metadata and perform efficient nearest-neighbor searches using indexes. - Support distance metrics like cosine, Euclidean, and dot product for similarity calculations. - Handle vector dimensions up to 2048 and scale to millions of entries. - Integrate with embedding models for real-time vector generation and querying. ## Usage Patterns Invoke this skill via CLI for quick operations or through API calls in code. Always set the environment variable `$VECTOR_DB_API_KEY` for authentication before use. For CLI, prefix commands with `vector-db` and use JSON config files for complex setups (e.g., `config.json` with `{ "dimensio
- Purpose
- When to Use
- Key Capabilities
- Usage Patterns
- Common Commands/API
- Integration Notes
- Error Handling
- Concrete Usage Examples
- Graph Relationships
What does the vector-db skill do?
Handles vector databases for efficient storage and querying of high-dimensional vectors in AI/ML applications.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill vector-db-alphaonedev-openclaw-graph --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.