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Found 1,540 Skills
Create, edit, and export live Excalidraw diagrams using mcp-excalidraw-server (MCP tools + canvas REST API). Use when an agent needs to draw/lay out diagrams, convert Mermaid to Excalidraw, query/update/delete elements, or export/import elements from a running canvas server (EXPRESS_SERVER_URL, default http://localhost:3000).
Use this skill when building MCP (Model Context Protocol) servers with TypeScript on Cloudflare Workers. This skill provides production-tested patterns for implementing tools, resources, and prompts using the official @modelcontextprotocol/sdk. It prevents 10+ common errors including export syntax issues, schema validation failures, memory leaks from unclosed transports, CORS misconfigurations, and authentication vulnerabilities. This skill should be used when developers need stateless MCP servers for API integrations, external tool exposure, or serverless edge deployments. For stateful agents with WebSockets and persistent storage, consider the Cloudflare Agents SDK instead. Supports multiple authentication methods (API keys, OAuth, Zero Trust), Cloudflare service integrations (D1, KV, R2, Vectorize), and comprehensive testing strategies. Production tested with token savings of ~70% vs manual implementation. Keywords: mcp, model context protocol, typescript mcp, cloudflare workers mcp, mcp server, mcp tools, mcp resources, mcp sdk, @modelcontextprotocol/sdk, hono mcp, streamablehttpservertransport, mcp authentication, mcp cloudflare, edge mcp server, serverless mcp, typescript mcp server, mcp api, llm tools, ai tools, cloudflare d1 mcp, cloudflare kv mcp, mcp testing, mcp deployment, wrangler mcp, export syntax error, schema validation error, memory leak mcp, cors mcp, rate limiting mcp
Enforces strict refactoring workflow for TypeScript/React codebases. Use when refactoring files with multiple exports, splitting components/hooks/utils, moving inline types to types/, and enforcing post-refactor quality gates.
Convert HuggingFace transformer models to ONNX format for browser inference with Transformers.js and WebGPU. Use when given a HuggingFace model link to convert to ONNX, when setting up optimum-cli for ONNX export, when quantizing models (fp16, q8, q4) for web deployment, when configuring Transformers.js with WebGPU acceleration, or when troubleshooting ONNX conversion errors. Triggers on mentions of ONNX conversion, Transformers.js, WebGPU inference, optimum export, model quantization for browser, or running ML models in the browser.
Guide Claude through ingesting TCGA sample sheets, expression archives, and clinical carts into omicverse, initialising survival metadata, and exporting annotated AnnData files.
Design and implement local push notification campaigns to boost user engagement in mobile apps. Use this skill whenever the user mentions local push notifications, in-app notifications, user engagement campaigns, retention messaging, re-engagement nudges, or wants to add scheduled notifications to their app. Also trigger when the user asks about notification timing strategies, onboarding notification flows, or workout/habit/goal reminder systems. Covers iOS (Swift/UNUserNotificationCenter), Android (Kotlin/WorkManager+NotificationManager), Flutter (flutter_local_notifications), and React Native (notifee/expo-notifications).
Convert USDM/EARS requirements documents from Markdown to professionally formatted Word (.docx) files for client submission. Generates cover pages, table of contents, headers/footers, and styled requirement hierarchies. Leverages the docx skill for Word file generation. Use when: "export requirements to Word", "requirements to docx", "USDM to Word", "convert requirements document", "要件書をWord出力", "要件定義書のdocx変換", "Word形式で要件書を作成", "要件定義書をWordに変換".
Develop, test, build, and deploy Godot 4.x games. Use when working with Godot Engine, GDScript, GdUnit4 testing, PlayGodot automation, or exporting games to web/desktop. Covers CI/CD pipelines and deployment to Vercel/GitHub Pages/itch.io.
Repository packaging for AI/LLM analysis. Capabilities: pack repos into single files, generate AI-friendly context, codebase snapshots, security audit prep, filter/exclude patterns, token counting, multiple output formats. Actions: pack, generate, export, analyze repositories for LLMs. Keywords: Repomix, repository packaging, LLM context, AI analysis, codebase snapshot, Claude context, ChatGPT context, Gemini context, code packaging, token count, file filtering, security audit, third-party library analysis, context window, single file output. Use when: packaging codebases for AI, generating LLM context, creating codebase snapshots, analyzing third-party libraries, preparing security audits, feeding repos to Claude/ChatGPT/Gemini.
This skill should be used when the user requests to "save team", "team save", "save team configuration", or "export team". It reads the configuration from a running team and saves it as a snapshot file to the .team-profiles/ directory for reuse with /team-load.
Use when the user wants to configure, create, or update a SecondMe Skill/MCP integration from a local project, or needs help exposing existing project capabilities through MCP.
Use when a Google Sheets URL (docs.google.com/spreadsheets/d/) or raw spreadsheet ID is present, or when the user says "read the sheet", "fetch spreadsheet", "convert sheet", "doc sheet", "import from Google Sheet", "get data from sheet", "đọc sheet", "doc sheet", "lay du lieu tu sheet", "lay data tu google sheet", or wants to export, document, or convert Google Sheet data into markdown, a table, a report, or documentation. Do NOT trigger for: Excel (.xlsx), CSV, Google Docs (docs.google.com/document), databases, or how-to questions about Google Sheets.