help: Workflow Automation for AI Agents | OpenAgentSkill

Overview

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.

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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

Pinecone account — free to create at https://app.pinecone.io/?sessionType=signup
API key — create one in the Pinecone console after signing up, then either export it in your terminal:
```
export 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	Already installed for you in Gemini CLI!
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
`quickstart`	Step-by-step onboarding — create an index, upload data, and run your first search
`query`	Search integrated indexes using natural language text via the Pinecone MCP
`cli`	Use the Pinecone CLI (`pc`) for terminal-based index and vector management
`assistant`	Create, manage, and chat with Pinecone Assistants for document Q&A with citations
`mcp`	Reference for all Pinecone MCP server tools and their parameters
`pinecone-docs`	Curated links to official Pinecone documentation, organized by topic

Which skill should I use?

Just getting started? → quickstart

Want to search an index you already have?

Integrated index (built-in embedding model) → query (uses MCP)
Any other index type → cli

Working with documents and Q&A? → assistant

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

Looking up API parameters or SDK usage? → pinecone-docs

Need to understand what MCP tools are available? → mcp

Issues using Pinecone here?

Make sure you export your API key in addition to configuring it for usage with the MCP. If you don't, you won't be able to run the packaged scripts here.
If skills are not being automatically invoked, you may need to explicitly inform Gemini CLI of your intent. Try saying "Use the quickstart skill", or "Use the Pinecone Docs skill", when having issues routing requests.

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File metadata

name: help
description: 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.

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---
name: help
description: 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.
---

# 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
- **Pinecone account** — free to create at https://app.pinecone.io/?sessionType=signup
- **API key** — create one in the Pinecone console after signing up, then either export it in your terminal:
  ```bash
  export 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 | Already installed for you in Gemini CLI! |
| **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](https://docs.astral.sh/uv/getting-started/installation/) |

---

## Available Skills

| Skill | What it does |
|---|---|
| `quickstart` | Step-by-step onboarding — create an index, upload data, and run your first search |
| `query` | Search integrated indexes using natural language text via the Pinecone MCP |
| `cli` | Use the Pinecone CLI (`pc`) for terminal-based index and vector management |
| `assistant` | Create, manage, and chat with Pinecone Assistants for document Q&A with citations |
| `mcp` | Reference for all Pinecone MCP server tools and their parameters |
| `pinecone-docs` | Curated links to official Pinecone documentation, organized by topic |

---

## Which skill should I use?

**Just getting started?** → `quickstart`

**Want to search an index you already have?**
- Integrated index (built-in embedding model) → `query` (uses MCP)
- Any other index type → `cli`

**Working with documents and Q&A?** → `assistant`

**Need to manage indexes, bulk upload vectors, or automate workflows?** → `cli`

**Looking up API parameters or SDK usage?** → `pinecone-docs`

**Need to understand what MCP tools are available?** → `mcp`

**Issues using Pinecone here?**
- Make sure you export your API key in addition to configuring it for usage with the MCP. If you don't, you won't be able to run the packaged scripts here.
- If skills are not being automatically invoked, you may need to explicitly inform Gemini CLI of your intent. Try saying "Use the quickstart skill", or "Use the Pinecone Docs skill", when having issues routing requests.

Review the source

Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

License: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Low GitHub adoption signal
AI review approval is missing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 23 GitHub stars
Stars/forks activity: 23 stars, 2 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

Open full audit

Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.

Start with one small task

1Read the source. Confirm the input, expected output, dependencies and permissions.
2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
3

Source & usage notes

IndexedStatic Checked

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

Source repository: pinecone-io/gemini-cli-extension
License: MIT
Version: Unknown
Last GitHub push: Aug 14, 2026
Registry updated: Sep 13, 2026
Instruction path: skills/help/SKILL.md @ de6792954ae2

Version reported in registry metadata; check source releases before relying on it.

Quality

52/100

Needs review

Trust

55/100

Agent access

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open install API LLM text format Open manifest Auto-resolve Plan

More details

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Creator: pinecone-io
Source: pinecone-io/gemini-cli-extension
Indexed by: OpenAgentSkill community index

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