pinecone:assistant

SkillDocs & knowledge

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".

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the pinecone:assistant skill

What this skill tells your AI

The instructions your AI receives, as published by pinecone-io/pinecone-claude-code-plugin in skills/assistant/SKILL.md and read by ahel’s review.

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, use the AskUserQuestion tool rather than plain prose. Fall back to prose only if the tool is unavailable.

Operations

What to doScriptKey args
Create an assistantscripts/create.py--name --instructions --region
Upload filesscripts/upload.py--assistant --source --patterns
Sync files (incremental)scripts/sync.py--assistant --source --delete-missing --dry-run
Chat / ask a questionscripts/chat.py--assistant --message
Get context snippetsscripts/context.py--assistant --query --top-k
List assistantsscripts/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

Upload: "upload my docs", "add files to my assistant", "index my documentation" → See references/upload.md

Sync: "sync my docs", "update my assistant", "keep assistant in sync", "refresh from ./docs" → See references/sync.md

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

Context: "search my assistant for X", "find context about X" → See 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:
  • Run export PINECONE_API_KEY="your-key" in your terminal. Claude Code reads your shell environment, so this is enough.
  • To use a .env file instead, run scripts with uv run --env-file .env scripts/....
  • uv must be installed — install uv
  • Get a free API key at: https://app.pinecone.io/?sessionType=signup

Signals

GitHub stars
68
Forks
12
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
pinecone-assistant
Source
github.com/pinecone-io/pinecone-claude-code-plugin