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Found 516 Skills
This skill should be used when the user wants to "deploy an agent", "deploy my ADK agent", "set up CI/CD", "configure secrets", "troubleshoot a deployment", or needs guidance on Agent Runtime, Cloud Run, or GKE deployment targets. Covers deployment workflows, service accounts, rollback, and production infrastructure. Part of the Google ADK (Agent Development Kit) skills suite. Do NOT use for API code patterns (use google-agents-cli-adk-code), evaluation (use google-agents-cli-eval), or project scaffolding (use google-agents-cli-scaffold).
RivetKit backend and Rivet Actor runtime guidance. Use for building, modifying, debugging, or testing Rivet Actors, registries, serverless/runner modes, deployment, or actor-based workflows.
Enable developers to learn and use Chainlink Runtime Environment (CRE) quickly by referencing filtered CRE docs. Trigger when user wants onboarding, CRE workflow generation (in TypeScript or Golang or other supported languages), workflow guidance, CRE CLI and/or SDK help, runtime operations advice, or capability selection
Use this skill whenever you need to verify that a web UI actually works the way it's supposed to — clicking through flows, asserting state, catching console errors, taking screenshots across multiple viewports for visual review. Triggers on phrases like "驗證網頁", "verify the site", "Playwright tests", "visual regression", "RWD verification", "screenshot comparison", "responsive check", "console error check", "看看手機版有沒有壞", "視覺驗證", "Playwright 測試", "截圖比對", "RWD 驗證", "驗 sidebar", "看 console 有沒有錯", or any post-change moment where the user wants to know "did I break anything?". This is the runtime-behaviour verifier — use `web-content-audit` instead if the question is about file/data consistency rather than rendered behaviour.
Guide for assistant-ui runtime system and state management. Use when working with runtimes, accessing state, or managing thread/message data.
Provides TypeScript patterns for type-first development, making illegal states unrepresentable, exhaustive handling, and runtime validation. Must use when reading or writing TypeScript/JavaScript files.
Diagnose and fix bugs using runtime execution traces. Use when debugging errors, analyzing failures, or finding root causes in Python, Node.js, or Java applications.
Optimize Docker images and containers for size, build speed, and runtime performance
TypeScript-first schema validation library with static type inference for form validation, API validation, and runtime type checking with compile-time types.
Guides technology selection and implementation of AI and ML features in .NET 8+ applications using ML.NET, Microsoft.Extensions.AI (MEAI), Microsoft Agent Framework (MAF), GitHub Copilot SDK, ONNX Runtime, and OllamaSharp. Covers the full spectrum from classic ML through modern LLM orchestration to local inference. Use when adding classification, regression, clustering, anomaly detection, recommendation, LLM integration (text generation, summarization, reasoning), RAG pipelines with vector search, agentic workflows with tool calling, Copilot extensions, or custom model inference via ONNX Runtime to a .NET project. DO NOT USE FOR projects targeting .NET Framework (requires .NET 8+), the task is pure data engineering or ETL with no ML/AI component, or the project needs a custom deep learning training loop (use Python with PyTorch/TensorFlow, then export to ONNX for .NET inference).
iOS pentesting playbook. Use when testing iOS applications for keychain extraction, URL scheme hijacking, Universal Links exploitation, runtime manipulation, binary protection analysis, data storage issues, and transport security bypass during authorized mobile security assessments.
Cloudflare Workers Runtime APIs including Fetch, Streams, Crypto, Cache, WebSockets, and Encoding. Use for HTTP requests, streaming, encryption, caching, real-time connections, or encountering API compatibility, response handling, stream processing errors.