Agent Skills
Instruction packs for your AI agent — browse standalone skills, tool add-ons and skills that need setup first.
✦ Standalone skills2,358
Listed for general use, with no separate prerequisite named.
🧰 Tool add-ons426
Listed as skills bundled with a specific tool, with no separate prerequisite named.
🔌 Needs setup first88
Each relies on something you set up separately — such as an app, a command-line tool or an account — and its page names what that is.
shopify · Notes & Knowledge
19 standalone skillspester-should-migration
✓★ 36,202by github
Experimental (preview) Pester skill for migrating classic Should -Be (v5) assertion syntax to the new Should-* (v6) assertions (note the hyphen, no space), e.g. `Should -Be` -> `Should-Be`, `Should -Not -Be` -> `Should-NotBe`. Tracks Pester 6, which is still a release candidate, so this guidance may change; verified against Pester 6.0.0-rc2. Use when converting Pester v5 assertions to Pester v6 Should-* operators, modernizing a Pester test suite, or when a user asks to migrate, convert, or rewrite `Should -...` calls in .Tests.ps1 / PowerShell files.
pinecone-rag
✓★ 36,202by github
Build production RAG pipelines and persistent agent memory using Pinecone as the vector database backend. ALWAYS USE THIS SKILL when the user mentions Pinecone, wants to index documents for semantic search, build a retrieval-augmented generation system, store agent memory across sessions, implement hybrid search, or connect an LLM to a searchable knowledge base — even if they don't say "Pinecone" explicitly. Also use when the user asks about vector databases for RAG, namespace isolation for multi-tenant agents, embedding pipelines, or scaling a knowledge base beyond what local storage can handle. DO NOT use for local-only vector stores (Chroma, FAISS, pgvector) or pure keyword search with no semantic component.
notion-meeting-intelligence
✓★ 23,283by openai
Prepare meeting materials with Notion context and Codex research; use when gathering context, drafting agendas/pre-reads, and tailoring materials to attendees.
notion-knowledge-capture
✓★ 23,283by openai
Capture conversations and decisions into structured Notion pages; use when turning chats/notes into wiki entries, how-tos, decisions, or FAQs with proper linking.
notion-research-documentation
✓★ 23,283by openai
Research across Notion and synthesize into structured documentation; use when gathering info from multiple Notion sources to produce briefs, comparisons, or reports with citations.
notion-knowledge-capture
✓★ 433by Notion
Transforms conversations and discussions into structured documentation pages in Notion. Captures insights, decisions, and knowledge from chat context, formats appropriately, and saves to wikis or databases with proper organization and linking for easy discovery.
notion-meeting-intelligence
✓★ 433by Notion
Prepares meeting materials by gathering context from Notion, enriching with Claude research, and creating both an internal pre-read and external agenda saved to Notion. Helps you arrive prepared with comprehensive background and structured meeting docs.
notion-research-documentation
✓★ 433by Notion
Searches across your Notion workspace, synthesizes findings from multiple pages, and creates comprehensive research documentation saved as new Notion pages. Turns scattered information into structured reports with proper citations and actionable insights.
notion-api
★ 277by intellectronica
This skill provides comprehensive instructions for interacting with the Notion API via REST calls. This skill should be used whenever the user asks to interact with Notion, including reading, creating, updating, or deleting pages, databases, blocks, comments, or any other Notion content. The skill covers authentication, all available endpoints, pagination, error handling, and best practices.
notion-knowledge-capture
✓★ 164by notion
Captures conversations and supplied notes as Notion wiki pages, how-to guides, FAQs, decision records, or retrospectives. Use when saving or updating durable knowledge from existing context; use research-documentation when new source discovery and synthesis is the main task.
notion-meeting-intelligence
✓★ 164by notion
Prepares meeting agendas, internal pre-reads, and decision briefs using Notion context and relevant research. Use for meeting preparation, recurring meeting context, or updating meeting outcomes; use knowledge-capture for a standalone record of an existing discussion.
notion-research-documentation
✓★ 164by notion
Researches questions across Notion sources and synthesizes cited briefs, comparisons, or reports. Use when answering requires discovering and reconciling workspace information, optionally with external research, and returning or saving the findings.
notion-cli
✓★ 134by notion
Use the Notion CLI (`ntn`) to interact with the Notion API, manage workers, and upload files. Use when the user asks to "call the Notion API", "deploy a worker", "upload a file to Notion", "create a page", "query a database", or any task involving the `ntn` command.
create-page
✓★ 17by notion
Create a new Notion page, optionally under a specific parent. Automatically structures content based on page type (meeting notes, project pages, etc.).
find
✓★ 17by notion
Quickly find pages or databases in Notion by title keywords. Returns precise matches rather than comprehensive results.
knowledge-capture
✓★ 17by 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
✓★ 17by 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
✓★ 17by notion
Search across your Notion workspace, synthesize findings from multiple pages, and create comprehensive research documentation with proper citations and actionable insights.
search
✓★ 17by 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.