cognitionai/devin-marketplace/assistant
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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".
Install
npx vskill@latest install cognitionai/devin-marketplace/assistantSKILL.md
The same SKILL.md was published earlier as pinecone-io/pinecone-claude-code-plugin/assistant.
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 inscripts/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 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
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"
uv run scripts/create.py --name docs-botuv run scripts/upload.py --assistant docs-bot --source ./docsuv run scripts/chat.py --assistant docs-bot --message "what are the main features?"
Prerequisites
PINECONE_API_KEYmust 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
.envfile instead, run scripts withuv run --env-file .env scripts/.... uvmust be installed — install uv- Get a free API key at: https://app.pinecone.io/?sessionType=signup
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingplugins/pinecone/skills/assistant/SKILL.md
Popularity
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Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
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- Plandex
- bolt.new
- v0
- Replit Agent
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- Fig AI
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