pinecone-quickstart
Interactive Pinecone quickstart for new developers. Choose between two paths - Database (create an integrated index, upsert data, and query using Pinecone MCP + Python) or Assistant (create a Pinecone Assistant for document Q&A). Use when a user wants to get started with Pinecone for the first time or wants a guided tour of Pinecone's tools.
Install
With your agent
Install OMGSkills skill "pinecone-io/skills:pinecone-quickstart" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/pinecone-io/skills /tmp/skills && ln -s /tmp/skills/skills/pinecone-quickstart ~/.claude/skills/pinecone-quickstart
From README
Pinecone Quickstart Welcome! This skill walks you through your first Pinecone experience using the tools available to you. In this quickstart, you will learn how to do a simple form of semantic search over some example data. Prerequisites Before starting either path, verify the API key works by calling list-indexes via the Pinecone MCP. If it succeeds, proceed. If it fails, ask the user to set their key: Then retry list-indexes to confirm. Step 0: Choose Your Path Ask the user which path they want: Database – Build a vector search index. Best for developers who want to store and search embeddings. Uses the Pinecone MCP + a Python upsert script. Assistant – Build a document Q&A assistant. Best for users who want to upload files and ask questions with cited answers. No code required. --- Path A: Database Quickstart For each step, explain to the user what will happen.
