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Found 503 Skills
Use when initializing Sentry in applications, configuring SDK options, or setting up integrations across different frameworks and platforms.
Deploy Evernote integrations to production environments. Use when deploying to cloud platforms, configuring production, or setting up deployment pipelines. Trigger with phrases like "deploy evernote", "evernote production deploy", "release evernote", "evernote cloud deployment".
Apply production-ready Documenso SDK patterns for TypeScript and Python. Use when implementing Documenso integrations, refactoring SDK usage, or establishing team coding standards for Documenso. Trigger with phrases like "documenso SDK patterns", "documenso best practices", "documenso code patterns", "idiomatic documenso".
Develop React Native or Flutter apps with native integrations. Use for mobile development, cross-platform code, or app optimization.
Get logos and icons for Gmail, Slack, HubSpot, and 200+ other integrations
Deploy Instantly integrations to Vercel, Fly.io, and Cloud Run platforms. Use when deploying Instantly-powered applications to production, configuring platform-specific secrets, or setting up deployment pipelines. Trigger with phrases like "deploy instantly", "instantly Vercel", "instantly production deploy", "instantly Cloud Run", "instantly Fly.io".
Guide for creating and reviewing skills. This skill should be used when users want to create a new skill, review an existing skill for quality, or optimize a skill that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Build applications powered by GitHub Copilot using the Copilot SDK. Use when creating programmatic integrations with Copilot across Node.js/TypeScript, Python, Go, or .NET. Covers session managemen...
Appwrite Python SDK skill. Use when building server-side Python applications with Appwrite, including Django, Flask, and FastAPI integrations. Covers user management, database/table CRUD, file storage, and functions via API keys.
Searches and retrieves MLflow documentation from the official docs site. Use when the user asks about MLflow features, APIs, integrations (LangGraph, LangChain, OpenAI, etc.), tracing, tracking, or requests to look up MLflow documentation. Triggers on "how do I use MLflow with X", "find MLflow docs for Y", "MLflow API for Z".
Build Model Context Protocol servers and implementations. Creates protocol-compliant tools and integrations for AI-powered applications.
Expert at integrating MCP servers into Claude Code plugins. Auto-invokes when configuring MCP servers (stdio/SSE/HTTP/WebSocket), writing .mcp.json files, or adding external tool integrations.