Agent Native

pinecone-assistant

This skill enables agents to create and manage Pinecone Assistants for document-based question answering with citations.

by PineconeOfficial publisherNot reviewed

Identity proven by GitHub's verified organisation badge (pinecone-io)

Agents
Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode
License
MIT (permissive)
Pin
98ec786pinned Oct 9, 2026
Context cost
about 820 tokenswhen the skill loads
GitHub stars
2on pinecone-io/pinecone-cursor-plugin
Scripts
6 scripts

What it does

“Create, manage, and chat with Pinecone Assistants for document Q&A with citations. Handles all assistant operations - create, upload, sync, chat, context retrieval, and list. Recognizes natural language like "create an assistant from my docs", "ask my assistant about X", or "upload my docs to Pinecone".”
The author's description, from SKILL.md

Generated summary from the skill's own text

This skill enables agents to create and manage Pinecone Assistants for document-based question answering with citations. It handles document uploads, incremental syncing, chat interactions, and context retrieval through Python scripts, requiring only a Pinecone API key and uv runtime.

When to use it

  • Building a document Q&A system without managing embeddings or infrastructure
  • Uploading and maintaining searchable document collections in Pinecone
  • Asking questions against indexed documents and receiving cited answers
  • Syncing local document folders with an assistant incrementally

When not to

  • If you lack a Pinecone API key or cannot set environment variables
  • When you need traditional search without semantic understanding or citations

Install

These commands install from the publisher's repository and need no account.

skills CLI

npx skills add pinecone-io/pinecone-cursor-plugin --skill pinecone-assistant

Installs from the repository's default branch, which may have changed since the commit we checked.

GitHub CLI 2.90 or later

gh skill install pinecone-io/pinecone-cursor-plugin pinecone-assistant@98ec786a9547bad2e0fcf014978f40f451a5f051

Installs the commit we checked (98ec786).

Copy by hand

Download the folder at 98ec786 and put it in .claude/skills/pinecone-assistant for Claude Code and in .agents/skills/pinecone-assistant for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode.

Skill folder on GitHub at 98ec786

Claude Code plugin

/plugin install pinecone@claude-plugins-official

The publisher's plugin in Claude's official marketplace. It may hold more than this skill, and we have not pinned it.

Copy for your agent

A prompt for any coding agent. It installs this skill from GitHub at the pinned commit, copies the files as they are, and runs nothing unless you ask.

Prompt

Install the agent skill "pinecone-assistant" by Pinecone.

Source, pinned to commit 98ec786a9547bad2e0fcf014978f40f451a5f051:
https://github.com/pinecone-io/pinecone-cursor-plugin/tree/98ec786a9547bad2e0fcf014978f40f451a5f051/skills/pinecone-assistant

1. Download that folder at exactly this commit. Do not use the default branch.
2. Copy every file unchanged, keeping the folder structure, into .claude/skills/pinecone-assistant/ for Claude Code and .agents/skills/pinecone-assistant/ for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode. Create the folders if they do not exist.
3. Do not edit the files, and do not run any script in the folder unless I ask you to.
4. When you are done, list the files you copied and where you put them.

Listing and checks: https://www.agentnative.dev/skills/pinecone/pinecone-assistant-pinecone-cursor-plugin

SKILL.md at the pin

---
name: pinecone-assistant
description: Create, manage, and chat with Pinecone Assistants for document Q&A with citations. Handles all assistant operations - create, upload, sync, chat, context retrieval, and list. Recognizes natural language like "create an assistant from my docs", "ask my assistant about X", or "upload my docs to Pinecone".
---

# Pinecone Assistant

Pinecone Assistant is a fully managed RAG service. Upload documents, ask questions, get cited answers. No embedding pipelines or infrastructure required.

> All scripts are in `scripts/` relative to this skill directory.
> Run with: `uv run scripts/script_name.py [arguments]`

Whenever this skill asks the user to choose between options, confirm a destructive step, or pick from a list, ask in plain prose, list the options, and wait for their answer before continuing.

## Operations

| What to do | Script | Key args |
|---|---|---|
| Create an assistant | `scripts/create.py` | `--name` `--instructions` `--region` |
| Upload files | `scripts/upload.py` | `--assistant` `--source` `--patterns` |
| Sync files (incremental) | `scripts/sync.py` | `--assistant` `--source` `--delete-missing` `--dry-run` |
| Chat / ask a question | `scripts/chat.py` | `--assistant` `--message` |
| Get context snippets | `scripts/context.py` | `--assistant` `--query` `--top-k` |
| List assistants | `scripts/list.py` | `--files` `--json` |

For full workflow details on any operation, read the relevant file in `references/`.

---

## Natural Language Recognition

Proactively handle these patterns without requiring explicit commands:

**Create:** "create an assistant", "make an assistant called X", "set up an assistant for my docs"
→ See [references/create.md](references/create.md)

**Upload:** "upload my docs", "add files to my assistant", "index my documentation"
→ See [references/upload.md](references/upload.md)

**Sync:** "sync my docs", "update my assistant", "keep assistant in sync", "refresh from ./docs"
→ See [references/sync.md](references/sync.md)

**Chat:** "ask my assistant about X", "what does my assistant know about X", "chat with X"
→ See [references/chat.md](references/chat.md)

**Context:** "search my assistant for X", "find context about X"
→ See [references/context.md](references/context.md)

**List:** "show my assistants", "what assistants do I have"
→ Run `uv run scripts/list.py`

---

## Conversation Memory

Track the last assistant used within the conversation:
- When a user creates or first uses an assistant, remember its name
- If user says "my assistant", "it", or "the assistant" → use the last one
- Briefly confirm which assistant you're using: "Asking docs-bot..."
- If ambiguous and multiple exist → ask the user to clarify

---

## Multi-Step Requests

Handle chained requests naturally. Example:

> "Create an assistant called docs-bot, upload my ./docs folder, and ask what the main features are"

1. `uv run scripts/create.py --name docs-bot`
2. `uv run scripts/upload.py --assistant docs-bot --source ./docs`
3. `uv run scripts/chat.py --assistant docs-bot --message "what are the main features?"`

---

## Prerequisites

- `PINECONE_API_KEY` must be available:
- Add `PINECONE_API_KEY=your-key` to a `.env` file at your workspace root. The
  bundled MCP config reads it through Cursor's `envFile` field.
- For scripts, either `export PINECONE_API_KEY="your-key"` in your terminal or
  run them with `uv run --env-file .env scripts/...`.
- `uv` must be installed — [install uv](https://docs.astral.sh/uv/getting-started/installation/)
- Get a free API key at: https://app.pinecone.io/?sessionType=signup

From pinecone-io/pinecone-cursor-plugin at 98ec786, shown as plain text under its license: MIT (permissive). The license text is in LICENSE.

View SKILL.md on GitHub at 98ec786

Files

13 files, 57 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.

Skill folder on GitHub at 98ec786
All 39 skills from Pinecone

More from Pinecone

  • pinecone:assistant

    Create and manage Pinecone Assistants to build RAG-powered chatbots that answer questions about uploaded documents with citations.

    Contains scripts

    Claude Code · about 810 tokens · pinned 6 days ago

  • pinecone:cli

    This skill enables agents to manage Pinecone vector databases from the terminal using the pc CLI tool.

    Claude Code · about 1.3K tokens · pinned 6 days ago

  • pinecone:docs

    This skill provides the agent with curated links to Pinecone documentation organized by topic.

    Claude Code, Codex, Cursor +4 · about 810 tokens · pinned 6 days ago

  • pinecone:full-text-search

    Build and query a Pinecone full-text-search index using the document-schema API (Python SDK 10.0.0+).

    Contains scripts

    Claude Code, Codex, Cursor +3 · about 10.1K tokens · pinned 6 days ago

  • pinecone:help

    This skill provides an overview of available Pinecone vector database skills and explains setup requirements.

    Claude Code · about 870 tokens · pinned 6 days ago

  • pinecone:mcp

    This skill provides reference documentation for the Pinecone MCP server tools, enabling agents to manage vector indexes and perform semantic search operations.

    Claude Code, Codex, Cursor +4 · about 990 tokens · pinned 6 days ago

All AI and agents skills
  • pinecone:n8n

    Builds n8n workflows with Pinecone nodes for retrieval-augmented generation and document search.

    by PineconeOfficial publisher

    Claude Code · about 7.1K tokens · pinned 6 days ago

  • assistant

    This skill creates and manages Pinecone Assistants for document-based question answering with citations.

    by PineconeOfficial publisher

    Contains scripts

    Agents not labelled yet · about 730 tokens · pinned 6 days ago

  • mcp

    This skill provides access to Pinecone MCP server tools for managing vector indexes and performing semantic search.

    by PineconeOfficial publisher

    Claude Code, Codex, Cursor +4 · about 990 tokens · pinned 6 days ago

  • quickstart

    This skill guides developers through their first Pinecone experience by choosing between two paths: building a vector search database with integrated…

    by PineconeOfficial publisher

    Contains scripts

    Gemini CLI · about 2.1K tokens · pinned 6 days ago

  • pinecone-assistant

    This skill enables agents to create and manage Pinecone Assistants for document-based question answering with citations.

    by PineconeOfficial publisher

    Contains scripts

    Claude Code, Codex, Cursor +3 · about 710 tokens · pinned 6 days ago

  • pinecone-mcp

    This skill provides a reference for Pinecone MCP server tools that enable vector search operations on integrated indexes with built-in embedding models.

    by PineconeOfficial publisher

    Claude Code, Codex, Cursor +4 · about 990 tokens · pinned 6 days ago

Open roles at Pinecone

The skills listed here are third-party software, collected from public GitHub repositories as a catalog of recent skills and provided as is. Agent Native does not write or control them and is not responsible for any harm, loss or damage caused by installing or using them. Labels and checks describe what we saw at one commit and are not a guarantee. Read a skill's files before you run it. Terms of use