pinecone:query
Query integrated indexes using text with Pinecone MCP. IMPORTANT - This skill ONLY works with integrated indexes (indexes with built-in Pinecone embedding models like multilingual-e5-large). For standard indexes or advanced vector operations, use the pinecone:cli skill instead. Requires PINECONE_API_KEY environment variable and Pinecone MCP server to be configured.
Install
With your agent
Install OMGSkills skill "pinecone-io/pinecone-claude-code-plugin:skills/query" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/pinecone-io/pinecone-claude-code-plugin /tmp/pinecone-claude-code-plugin && ln -s /tmp/pinecone-claude-code-plugin/skills/query ~/.claude/skills/pinecone:queryFrom README
Pinecone Query Skill Search for records in Pinecone integrated indexes using natural language text queries via the Pinecone MCP server. Whenever this skill asks the user to choose between options, confirm a destructive step, or pick from a list, use the AskUserQuestion tool rather than plain prose. Fall back to prose only if the tool is unavailable. What is this skill for? This skill provides a simple way to query integrated indexes (indexes with built-in Pinecone embedding models) using text queries. The MCP server automatically converts your text into embeddings and searches the index.
More from this repo
pinecone:assistant
Create, manage, and chat with Pinecone Assistants for document Q&A with citations.
pinecone:cli
Guide for using the Pinecone CLI (pc) to manage Pinecone resources from the terminal.
pinecone:docs
Curated documentation reference for developers building with Pinecone.