Agent Skills

by notion

Create a new task in the user's Notion tasks database with sensible defaults for due date, status, owner, and project.

database-query

by notion

Query a Notion database by name or ID and return structured, readable results with optional filters and sorting.

find

by notion

Quickly find pages or databases in Notion by title keywords. Returns precise matches rather than comprehensive results.

knowledge-capture

by notion

Transform conversations and discussions into structured documentation pages in Notion. Captures insights, decisions, and knowledge from chat context with proper organization and linking.

meeting-intelligence

by notion

Prepare meeting materials by gathering context from Notion, enriching with research, and creating both an internal pre-read and external agenda saved to Notion.

research-documentation

by notion

Search across your Notion workspace, synthesize findings from multiple pages, and create comprehensive research documentation with proper citations and actionable insights.

search

by notion

Search the user's Notion workspace using the Notion MCP server. Use for finding pages, databases, and content by keywords or natural-language queries.

spec-to-implementation

by notion

Turn product or tech specs into concrete Notion tasks. Breaks down spec pages into detailed implementation plans with clear tasks, acceptance criteria, and progress tracking.

tasks-build

by notion

Build a task from a Notion page URL. Fetches task details, marks it in progress, implements the work, and updates status in Notion.

tasks-explain-diff

by notion

Generate a rich Notion document explaining code changes. Creates comprehensive documentation with background, intuition, code walkthrough, and verification steps.

tasks-plan

by notion

Create an implementation plan from a Notion task or specification. Breaks down requirements into actionable steps with estimates and dependencies.

tasks-setup

by notion

Set up a Notion task board for tracking tasks. Guides users through using a template or connecting an existing board.

sandbox-agent

★ 16

by rivet-dev

Deploy, configure, and integrate Sandbox Agent - a universal API for orchestrating AI coding agents (Claude Code, Codex, OpenCode, Amp) in sandboxed environments. Use when setting up sandbox-agent server locally or in cloud sandboxes (E2B, Daytona, Docker), creating and managing agent sessions via SDK or API, streaming agent events and handling human-in-the-loop interactions, building chat UIs for coding agents, or understanding the universal schema for agent responses.

FreeSetup details

slack-agent

★ 16

by vercel

Use when working on Slack agent/bot code, Chat SDK applications, Bolt for JavaScript projects, or projects using @chat-adapter/slack or @slack/bolt. Provides development patterns, testing requirements, and quality standards.

Free

geist-learning-lab

★ 15

by vercel

Build explorative, interactive learning experiences as Next.js apps using the Geist design system. Use when creating tutorials, explorable explanations, interactive lessons, code sandboxes, quizzes, or any educational UI. Covers the Learning Loop pedagogy, 23+ learning component patterns, progress tracking, spaced repetition, and Bret-Victor-style interactive exploration — all with Geist's dark-first minimal aesthetic.

developing-genkit-js

by genkit-ai

Develop AI-powered applications using Genkit in Node.js/TypeScript. Use when the user asks about Genkit, AI agents, flows, or tools in JavaScript/TypeScript, or when encountering Genkit errors, validation issues, type errors, or API problems.

developing-genkit-dart

by genkit-ai

Generates code and provides documentation for the Genkit Dart SDK. Use when the user asks to build AI agents in Dart, use Genkit flows, or integrate LLMs into Dart/Flutter applications.

developing-genkit-go

by genkit-ai

Develop AI-powered applications using Genkit in Go. Use when the user asks to build AI features, agents, flows, or tools in Go using Genkit, or when working with Genkit Go code involving generation, prompts, streaming, tool calling, or model providers.

developing-genkit-python

by genkit-ai

Develop AI-powered applications using Genkit in Python. Use when the user asks about Genkit, AI agents, flows, or tools in Python, or when encountering Genkit errors, import issues, or API problems.

pinecone-assistant

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by pinecone-io

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-cli

by pinecone-io

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, and full control over Pinecone resources.

Free

pinecone-docs

by pinecone-io

Curated documentation reference for developers building with Pinecone. Contains links to official docs organized by topic and data format references. Use when writing Pinecone code, looking up API parameters, or needing the correct format for vectors or records.

pinecone-full-text-search

by pinecone-io

Create, ingest into, and query a Pinecone full-text-search (FTS) document index using the graduated document-schema API (Python SDK 10.0.0, API version 2026-07). 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.indexes.describe(...)` output.

Free

pinecone-mcp

by pinecone-io

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, or what parameters they accept.

pinecone-query

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by pinecone-io

Query integrated indexes using text with Pinecone MCP. IMPORTANT - This skill ONLY works with integrated indexes (indexes with built-in Pinecone embedding models like multilingual-e5-large). For standard indexes or advanced vector operations, use the CLI skill instead. Requires PINECONE_API_KEY environment variable and Pinecone MCP server to be configured.

pinecone-quickstart

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by pinecone-io

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.

pinecone-n8n

by pinecone-io

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.

i18n-array-groq-query-migration

by sanity-io

Detect and update legacy GROQ patterns where language is read from _key for sanity-plugin-internationalized-array when users mention v4 to v5 migration, or @sanity/document-internationalization from v5 to v6. GROQ query updates, localized arrays, or patterns like `_key == "en"` and `_key == $language`.