SkillsAdd

pinecone-io/skills

pinecone-assistant

Create, manage, and chat with Pinecone Assistants for document Q&A with citations.

First seen Feb 20, 2026

Installation

$ npx skills add pinecone-io/skills --skill pinecone-assistant
View on skills.sh ↗ GitHub repository ↗

Summary

  • 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".

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Also in this package

Other skills from pinecone-io/skills · top by installs.

npx skills add pinecone-io/skills
pinecone-docs 243 pinecone-query 195 pinecone-cli 193 pinecone-help 191 pinecone-mcp 176 pinecone-quickstart 175 pinecone-full-text-search 148 pinecone-n8n 75 assistant 1 quickstart 1

Browse all from pinecone-io/skills

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Also listed on

Alternate registries and mirrors of this skill.

Repository health

Stars 15
License LICENSE
Default branch main
Open issues 3
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,205 B
  • docs SUMMARY.md 330 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 190 installs

SKILL.md

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]

<<clarify_style>>

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

  • PINECONEAPIKEY must be available:

<<apikeysetup>>