pinecone-io/pinecone-codex-plugin/help

Claude Code and agent skill by pinecone-io/pinecone-codex-plugin

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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 Pinecone, or what they need to set up before using any Pinecone skill.

Install

npx vskill@latest install pinecone-io/pinecone-codex-plugin/help

SKILL.md

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.

Ask Codex for any skill by name — for example pinecone:quickstart or pinecone:n8n — or just describe what you want and Codex picks the skill.

What You Need

Required
  • Pinecone account — free to create at https://app.pinecone.io/?sessionType=signup
  • API key — create one in the Pinecone console after signing up, then make it

available to this environment:

  • Codex CLI: run export PINECONE_API_KEY="your-key" in the shell you start codex from. The bundled MCP server reads it from Codex's environment.
  • Codex Desktop on macOS: run launchctl setenv PINECONE_API_KEY "your-key", then quit Codex fully and open it again.
  • For scripts, you can also use uv run --env-file .env scripts/....
Optional (unlock more capabilities)
ToolWhat it enablesInstall
Pinecone MCP serverUse Pinecone directly inside your AI agent/IDE without writing codeSetup guide
Pinecone CLI (`pc`)Manage all index types from the terminal, batch operations, backups, CI/CDbrew tap pinecone-io/tap && brew install pinecone-io/tap/pinecone
uvRun the packaged Python scripts included in these skillsInstall uv

Available Skills

SkillWhat it does
pinecone:quickstartStep-by-step onboarding — create an index, upload data, and run your first search
pinecone:querySearch integrated indexes using natural language text via the Pinecone MCP
pinecone:cliUse the Pinecone CLI (pc) for terminal-based index and vector management
pinecone:assistantCreate, manage, and chat with Pinecone Assistants for document Q&A with citations
pinecone:mcpReference for all Pinecone MCP server tools and their parameters
pinecone:full-text-searchBuild 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). Document-schema API (`2026-07`); requires `pinecone` Python SDK ≥ 10.0.0.
pinecone:docsCurated links to official Pinecone documentation, organized by topic
pinecone:n8nBuild 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 (document-schema API, needs pinecone Python SDK ≥ 10.0.0)

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

Security

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