An overview and setup guide for Pinecone, a database for finding related information by meaning. It lists the available Pinecone skills and the account, API key, and optional tools needed to use them.

Use it to learn which Pinecone workflow fits a task, configure the API key, and find instructions for semantic search, document question-answering, and index management.

It gives beginners a starting point and explains the difference between using Pinecone through an AI tool and through its command line. It prevents setup problems caused by missing credentials or tools.

help — Skill by pinecone-io

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods

npx agentmods add skills/pinecone-io/gemini-cli-extension/help

Any agent

npx skills add pinecone-io/gemini-cli-extension --skill help

Clone the repo

git clone --depth 1 https://github.com/pinecone-io/gemini-cli-extension

Made for: Claude Code, Codex.

Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 687 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5	$0.00050	$0.00687
Opus 5	$0.00025	$0.00344
Sonnet 5	$0.00010	$0.00137
Haiku 4.5	$0.00005	$0.00069

Measured 3d ago against content hash 37a6d178a03e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

help scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/help/SKILL.md · 67 lines

How it starts

The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Pinecone Skills — Help & Overview

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.

What You Need

Required

Pinecone account — free to create at https://app.pinecone.io/?sessionType=signup
API key — create one in the Pinecone console after signing up, then either export it in your terminal:
```
export PINECONE_API_KEY="your-key"
```

Optional (unlock more capabilities)

Tool	What it enables	Install
Pinecone MCP server	Use Pinecone directly inside your AI agent/IDE without writing code	Already installed for you in Gemini CLI!
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

Available Skills

Skill	What it does
`quickstart`	Step-by-step onboarding — create an index, upload data, and run your first search
`query`	Search integrated indexes using natural language text via the Pinecone MCP
`cli`	Use the Pinecone CLI (`pc`) for terminal-based index and vector management
`assistant`	Create, manage, and chat with Pinecone Assistants for document Q&A with citations
`mcp`	Reference for all Pinecone MCP server tools and their parameters
`pinecone-docs`	Curated links to official Pinecone documentation, organized by topic

Which skill should I use?

Just getting started? → quickstart

Want to search an index you already have?

Integrated index (built-in embedding model) → query (uses MCP)
Any other index type → cli

Read the full file on GitHub · 67 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

3d ago First seen · 67 lines · 50 tokens per session scan A 37a6d178a03e

Subscribe to this mod's changes

help is a skill published in the GitHub repository pinecone-io/gemini-cli-extension (23 stars, last pushed 19d ago), licensed MIT. It adds 50 tokens to every session and 687 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Data and AI Databases RAG and vectors agent-skills gemini-cli gemini-cli-extension pinecone retrieval-augmented-generation semantic-search

pinecone:cli

Guide for using the Pinecone CLI (pc) to manage Pinecone resources from the terminal. The CLI supports ALL index types (standard, integrated, sparse) and all vector operations — unlike the MCP which only supports integrated indexes. Use for batch operations, vector management, backups, namespaces, CI/CD automation…

pinecone-io/pinecone-claude-code-plugin · 75 tokens

pinecone:mcp

Reference for the Pinecone MCP server tools. Documents all available tools - list-indexes, describe-index, describe-index-stats, create-index-for-model, upsert-records, search-records, cascading-search, and rerank-documents. Use when an agent needs to understand what Pinecone MCP tools are available, how to use them…

pinecone-io/pinecone-claude-code-plugin · 80 tokens

pinecone:help

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.

pinecone-io/pinecone-claude-code-plugin · 53 tokens

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…

pinecone-io/skills · 79 tokens

pinecone-cli

pinecone-io/skills · 74 tokens

pinecone-mcp

pinecone-io/skills · 80 tokens