Agent Native

assistant

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

by PineconeOfficial publisher

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

Agents
Not labelled yet
License
MIT (permissive)
Pin
de67929pinned Oct 9, 2026
Context cost
about 730 tokenswhen the skill loads
GitHub stars
23on pinecone-io/gemini-cli-extension
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 creates and manages Pinecone Assistants for document-based question answering with citations. It handles the full workflow of creating assistants, uploading and syncing documents, querying for answers and context snippets, all through natural language commands that invoke Python scripts with appropriate arguments.

When to use it

  • Building a Q&A system over your own documents without managing embeddings
  • Keeping document indexes synchronized as source files change
  • Retrieving cited answers from your uploaded documentation
  • Managing multiple assistants for different document collections

When not to

  • You need real-time document updates without explicit sync calls
  • Your documents require custom embedding or preprocessing logic
  • You prefer working directly with vector databases instead of managed services

Install

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

skills CLI

npx skills add pinecone-io/gemini-cli-extension --skill 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/gemini-cli-extension assistant@de6792954ae2a10d5e1a059eaf5ad048af535e17

Installs the commit we checked (de67929).

Copy by hand

Download the folder at de67929 and put it in .claude/skills/assistant for Claude Code and in .agents/skills/assistant for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode.

Skill folder on GitHub at de67929

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 "assistant" by Pinecone.

Source, pinned to commit de6792954ae2a10d5e1a059eaf5ad048af535e17:
https://github.com/pinecone-io/gemini-cli-extension/tree/de6792954ae2a10d5e1a059eaf5ad048af535e17/skills/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/assistant/ for Claude Code and .agents/skills/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/assistant

SKILL.md at the pin

---
name: 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]`

## 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 — terminal: `export PINECONE_API_KEY="your-key"`, or add to a `.env` file and run scripts 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/gemini-cli-extension at de67929, shown as plain text under its license: MIT (permissive). The license text is in LICENSE.

View SKILL.md on GitHub at de67929

Files

13 files, 56 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.

Skill folder on GitHub at de67929
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