vectordb
Vector database operations for embeddings and semantic search. Activate for Pinecone, Weaviate, Chroma, pgvector, RAG, and similarity search.
npx skills add majiayu000/claude-skill-registry --skill vector-db-lobbi-docs-claude-3 --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 Database Skill Provides comprehensive vector database capabilities for the Golden Armada AI Agent Fleet Platform. ## When to Use This Skill Activate this skill when working with: - Semantic search implementation - RAG (Retrieval Augmented Generation) - Embedding storage and retrieval - Similarity search - Vector index management ## Embedding Generation \`\`\`python import openai from anthropic import Anthropic # OpenAI embeddings def get_openai_embedding(text: str) -> list[float]: response = openai.embeddings.create( model="text-embedding-3-small", input=text ) return response.data[0].embedding # Batch embeddings def get_batch_embeddings(texts: list[str]) -> list[list[float]]: response = openai.embeddings.create( model="text-embedding-3-small", input=texts ) return [item.embedding for item in response.data] \`\`\` ## Pinecone \`\`\`python from pinecone import Pinecone, ServerlessSpec # Initialize pc = Pinecone(api_key=os.environ["PINECONE_API_KEY"]) # Create index pc.create_index( name="agents", dimension=1536, metric="cosine", spec=ServerlessSpec( cloud="aws", region="us-west-2" ) ) # Get index index = pc.Index("agents") # Upsert vectors index.upsert( vectors=[ { "id": "a
- When to Use This Skill
- Embedding Generation
- Pinecone
- Chroma
- pgvector (PostgreSQL)
- Python with pgvector
- RAG Implementation
- Best Practices
What does the vectordb skill do?
Vector database operations for embeddings and semantic search. Activate for Pinecone, Weaviate, Chroma, pgvector, RAG, and similarity search.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill vector-db-lobbi-docs-claude-3 --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.