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Overview of all available Pinecone skills and what a user needs to get started. Invoke when a user asks what skills are available, how to get started with Pinecone, or what they need to set up before using any Pinecone skill.
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/pinecone-io/pinecone-claude-code-plugin --skill pinecone-help명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
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".
Create, ingest into, and query a Pinecone full-text-search (FTS) index using the preview API (2026-01.alpha, public preview). Use when the user or agent asks to build a text search index on Pinecone, add dense or sparse vector fields, ingest documents, construct score_by clauses (text / query_string / dense_vector / sparse_vector), or compose with text-match filters ($match_phrase / $match_all / $match_any). Ships `scripts/ingest.py` for safe bulk ingestion (batch_upsert + error inspection + readiness polling); query construction is documented inline in this skill — write `documents.search(...)` calls directly, validated against `pc.preview.indexes.describe(...)` output.
Build n8n workflows using the Pinecone Assistant node or Pinecone Vector Store node. Use when building RAG pipelines, chat-with-docs workflows, configuring Pinecone nodes in n8n, troubleshooting Pinecone n8n nodes, or asking about best practices for Pinecone in n8n.
SOC 직업 분류 기준
SKILL.md 표시 중
| name | pinecone:help |
| description | Overview of all available Pinecone skills and what a user needs to get started. Invoke when a user asks what skills are available, how to get started with Pinecone, or what they need to set up before using any Pinecone skill. |
| allowed-tools | Skill, Bash, Read |
Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. It's useful for building semantic search, retrieval augmented generation, recommendation systems, and agentic applications.
Here's everything you need to get started and a summary of all available skills.
Invoke any skill from chat with /pinecone:<skill-name> — for example /pinecone:quickstart or /pinecone:n8n.
export PINECONE_API_KEY="your-key" in your terminal. Claude Code reads
your shell environment, so this is enough..env file instead, run scripts with uv run --env-file .env scripts/....| Tool | What it enables | Install |
|---|---|---|
| Pinecone MCP server | Use Pinecone directly inside your AI agent/IDE without writing code | Setup guide |
Pinecone CLI (pc) | Manage all index types from the terminal, batch operations, backups, CI/CD | brew tap pinecone-io/tap && brew install pinecone-io/tap/pinecone |
| uv | Run the packaged Python scripts included in these skills | Install uv |
| Skill | What it does |
|---|---|
pinecone:quickstart | Step-by-step onboarding — create an index, upload data, and run your first search |
pinecone:query | Search integrated indexes using natural language text via the Pinecone MCP |
pinecone:cli | Use the Pinecone CLI (pc) for terminal-based index and vector management |
pinecone:assistant | Create, manage, and chat with Pinecone Assistants for document Q&A with citations |
pinecone:mcp | Reference for all Pinecone MCP server tools and their parameters |
pinecone:full-text-search | Build a full-text-search index — schema design, safe bulk ingestion, and query construction (text / query_string / dense / sparse scoring with text-match and metadata filters). Preview API (2026-01.alpha); requires pinecone Python SDK ≥ 9.0. |
pinecone:docs | Curated links to official Pinecone documentation, organized by topic |
pinecone:n8n | Build n8n workflows with the Pinecone Assistant node or Pinecone Vector Store node, including best practices and full workflow JSON generation |
Just getting started? → pinecone:quickstart
Want to search an index you already have?
pinecone:query (uses MCP)pinecone:cliWorking with documents and Q&A? → pinecone:assistant
Building a full-text search index (BM25-style keyword/phrase matching, optionally combined with dense or sparse vectors)? → pinecone:full-text-search (preview API, needs pinecone Python SDK ≥ 9.0)
Building an n8n workflow with Pinecone (RAG pipeline, chat with docs)? → pinecone:n8n
Need to manage indexes, bulk upload vectors, or automate workflows? → pinecone:cli
Looking up API parameters or SDK usage? → pinecone:docs
Need to understand what MCP tools are available? → pinecone:mcp