assistant
This skill creates and manages Pinecone Assistants for document-based question answering with citations.
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".”
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 assistantInstalls 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@de6792954ae2a10d5e1a059eaf5ad048af535e17Installs 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.
Claude Code plugin
/plugin install pinecone@claude-plugins-officialThe 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 de67929Files
- SKILL.md3.3 KB · 04f7e688221a
- references/
- chat.md1.2 KB · 87f1ee78fcc2
- context.md1.5 KB · 6d4eca928911
- create.md1.5 KB · 441c92aa7912
- list.md713 B · cd4c9438ef93
- sync.md1.9 KB · f539df1ac386
- upload.md1.8 KB · 0127f95e84d2
- scripts/
- chat.py5.1 KB · 3ab0c7ddf8c9
- context.py5.8 KB · 5a2d4286b546
- create.py4.0 KB · ccf87b7a5ee6
- list.py7.9 KB · 96cf0f1aeadd
- sync.py13 KB · 44f4121a748f
- upload.py7.7 KB · 5a3571449cb0
13 files, 56 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.
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Open roles at Pinecone
3 open roles on the jobs board
- Associate Field Engineer
New York City, New York, United States (On-site)
- Senior/Staff Software Engineer, Search & Retrieval Infrastructure
Remote (US) (Remote)
- Senior/Staff Software Engineer, Search & Retrieval Infrastructure
New York City (Remote)