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Overview of all available Pinecone skills and what a user needs to get started. Invoke when a user asks what skills are available, how to get started with…

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🧩 One of 7 skills in the pinecone-io/skills package — works on its own, and pairs well with its siblings.

Overview of all available Pinecone skills and what a user needs to get started. Invoke when a user asks what skills are available, how to get started with…

Inspect the full instructions your agent will receiveExpand

This is the exact playbook injected into your agent when the skill activates — shown here so you can audit it before installing. You don't need to read it to use the skill.

by pinecone-io

Overview of all available Pinecone skills and what a user needs to get started. Invoke when a user asks what skills are available, how to get started with… npx skills add https://github.com/pinecone-io/skills --skill pinecone-help Download ZIPGitHub14

Pinecone Skills — Help & Overview

Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. It's useful for building semantic search, retrieval augmented generation, recommendation systems, and agentic applications.

Here's everything you need to get started and a summary of all available skills.

What You Need

Required

Copy & paste — that's it
export PINECONE_API_KEY="your-key"

Or add it to a .env file if your IDE doesn't inherit shell variables: PINECONE_API_KEY=your-key

Optional (unlock more capabilities)

Tool What it enables Install Pinecone MCP server Use Pinecone directly inside your AI agent/IDE without writing code Setup guide Pinecone CLI (pc) Manage all index types from the terminal, batch operations, backups, CI/CD brew tap pinecone-io/tap && brew install pinecone-io/tap/pinecone uv Run the packaged Python scripts included in these skills Install uv

Available Skills

Skill What it does pinecone-quickstart Step-by-step onboarding — create an index, upload data, and run your first search pinecone-query Search integrated indexes using natural language text via the Pinecone MCP pinecone-cli Use the Pinecone CLI (pc) for terminal-based index and vector management pinecone-assistant Create, manage, and chat with Pinecone Assistants for document Q&A with citations pinecone-mcp Reference for all Pinecone MCP server tools and their parameters pinecone-full-text-search Build a full-text-search index — schema design, safe bulk ingestion, and query construction (text / query_string / dense / sparse scoring with text-match and metadata filters). Preview API (2026-01.alpha); requires pinecone Python SDK ≥ 9.0. pinecone-docs Curated links to official Pinecone documentation, organized by topic pinecone-n8n Build n8n workflows with the Pinecone Assistant node or Pinecone Vector Store node, including best practices and full workflow JSON generation

Which skill should I use?

Just getting started?pinecone-quickstart

Want to search an index you already have?

  • Integrated index (built-in embedding model) → pinecone-query (uses MCP)

  • Any other index type → pinecone-cli

Working with documents and Q&A?pinecone-assistant

Building a full-text search index (BM25-style keyword/phrase matching, optionally combined with dense or sparse vectors)?pinecone-full-text-search (preview API, needs pinecone Python SDK ≥ 9.0)

Building an n8n workflow with Pinecone (RAG pipeline, chat with docs)?pinecone-n8n

Need to manage indexes, bulk upload vectors, or automate workflows?pinecone-cli

Looking up API parameters or SDK usage?pinecone-docs

Need to understand what MCP tools are available?pinecone-mcp