Pinecone Help
PineconeOfficialPublished by Pinecone
- Skill
- Tool integration
- Data and AI
- MIT
- No issues found
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
The pinecone-help skill serves as a navigation hub for users working with Pinecone within an AI agent environment. It provides a structured overview of available skills, outlines necessary prerequisites like account and API key setup, and offers guidance on selecting the appropriate tool for specific tasks such as index management, full-text search, or workflow automation.
What it does
- Provides a comprehensive list of available Pinecone-related agent skills.
- Outlines essential setup requirements including account creation and API key configuration.
- Offers a decision-making guide to help users select the right skill for their specific use case.
- Links to optional tools like the Pinecone MCP server and CLI for enhanced functionality.
- Summarizes the purpose of specialized skills for RAG, document Q&A, and n8n workflows.
When to use it
- When you are new to using Pinecone skills and need to know where to start.
- When you need to verify the prerequisites for using Pinecone within your environment.
- When you are unsure which specific Pinecone skill is required for your current task.
- When you need a quick reference for the capabilities of the available Pinecone toolset.
Advantages
- Reduces friction for new users by centralizing onboarding information.
- Simplifies the selection process for complex tasks like full-text search or workflow integration.
- Clearly distinguishes between different operational modes such as MCP, CLI, and SDK-based workflows.
Usage examples
- “How do I get started with Pinecone?”
- The agent provides a summary of the required account setup and points the user to the pinecone-quickstart skill.
- “What Pinecone skills are available?”
- The agent displays a table of all available skills, including descriptions for each to help the user identify the right tool.
- “Which skill should I use for full-text search?”
- The agent identifies pinecone-full-text-search as the correct skill and notes the specific SDK version requirements.
Install
Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/pinecone-io/pinecone-help/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip pinecone-help.zip -d .agents/skills
Documentation by Pinecone
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.
<<invoke_any_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: <<api_key_setup>>
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). Document-schema API (2026-07); requires pinecone Python SDK ≥ 10.0.0. |
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 (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
Files
- ATTRIBUTION.mdAdded by AutoGineer855 B
- LICENSELicence file added by AutoGineer1.0 KiB
- SKILL.md3.4 KiB
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.
<<invoke_any_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: <<api_key_setup>>
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). Document-schema API (2026-07); requires pinecone Python SDK ≥ 10.0.0. |
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 (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
Requirements and compatibility
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Needs an MCP server, Needs an API key, Needs Node.js
Security
No issues found by our static scan· No issues found
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- Published by
- Pinecone
- Publisher
- Pinecone (Official)
- Source
- pinecone-io/skills · skills/pinecone-help · commit 885dc53
- Licence
- MIT License (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by Pinecone.
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Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download pinecone-help.zip