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Found 534 Skills
React DevTools CLI for AI agents. Use when the user asks you to debug a React or React Native app at runtime, inspect component props/state/hooks, diagnose render performance, profile re-renders, find slow components, or understand why something re-renders. Triggers include "why does this re-render", "inspect the component", "what props does X have", "profile the app", "find slow components", "debug the UI", "check component state", "the app feels slow", or any React runtime debugging task.
Zig debugging skill. Use when debugging Zig programs with GDB or LLDB, interpreting Zig runtime panics, using std.debug.print for tracing, configuring debug builds, or debugging Zig programs in VS Code. Activates on queries about debugging Zig, Zig panics, zig gdb, zig lldb, std.debug.print, Zig stack traces, or Zig error return traces.
Create new agent skills with best-practice templates. Guides through skill level selection (L0 pure prompt, L0+ with helper scripts, L1 with business scripts), environment strategy (stdlib/uv/venv), and generates ready-to-edit project files following runtime UX best practices. This skill should be used when creating a new skill, scaffolding a skill project, initializing skill templates, or when the user says 'help me build a skill', 'create a skill', '创建技能', '新建 skill'.
Bun as runtime, package manager, bundler, and test runner. When to choose Bun vs Node, migration notes, and Vercel support.
Rust ecosystem expert covering crate selection, library recommendations, framework comparisons, async runtime choices (tokio, async-std), and common tools.
Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for AI-agent, prompt-injection, MCP or toolchain, cloud, container, CI/CD, and supply-chain challenges. Use when the user asks to analyze prompt-to-tool flows, retrieval poisoning, mounted secrets, deployment drift, runtime-vs-manifest mismatches, registry provenance, or CI-produced artifacts under sandbox assumptions. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.
MSW `.ui` single entry point — design + component API + builder + runtime. Anchor/pivot/RectTransform, UIGroup/CanvasGroup hierarchy, layout recipes (HUD/popup/toast/menu/inventory/scroll-list), full API tables for ButtonComponent/TextComponent/SpriteGUIRendererComponent/ScrollLayoutGroup/GridView/TextInput/Slider/Mask/AvatarGUIRenderer + UI enums (AlignmentType/OverflowType/ImageType/FillAmount), `.mlua` runtime patterns (popup open-close, toast, HP bar, GridView, drag, tab, cooldown, world nametag), UI-client-only caveats (nil on server, no RPC), `.ui`↔`.mlua` UUID auto-binding (write+inject_bindings), resolution/safe-area/touch. UIBuilder (msw_ui_builder.cjs): all node types (panel/text/sprite/button/slider/scroll_layout/text_input/group/mask/grid_view/avatar/skeleton etc.), component add/replace/patch/remove, 13 anchor presets+stretch, auto-inject .mlua UUID bindings after write.
AI demos and GPU compute with Gradio Spaces and Hugging Face Spaces ZeroGPU. Use when writing or reviewing code that uses `@spaces.GPU`, configuring `python_version` or `requirements.txt` for a ZeroGPU Space, or handling ZeroGPU-specific code constraints — pickle-based process isolation, `gr.State` semantics across the worker boundary, no `torch.compile` (use AoTI instead), CUDA wheel-only builds (no `nvcc` at build or runtime), large vs xlarge sizing, and dynamic duration callables. Make sure to use this skill whenever the user mentions ZeroGPU, `@spaces.GPU`, or the `spaces` Python package, or hits ZeroGPU-specific code errors like `PicklingError` across the worker boundary, `illegal duration`, or `flash-attn` wheel-build failures — even when the user does not explicitly ask for ZeroGPU coding guidance. Trigger on `import spaces` or `@spaces.GPU` in code.
Zod schema validation patterns for TypeScript applications. Use when validating API responses, form data, environment variables, or any runtime data. Type-safe validation with automatic TypeScript inference.
Guides developers through testing Tauri applications including unit testing with mock runtime, mocking Tauri APIs, WebDriver end-to-end testing with Selenium and WebdriverIO, and CI integration with GitHub Actions.
Assists with managing Tauri application resources including app icons setup and generation, embedding static files and assets, accessing bundled resources at runtime, and implementing thread-safe state management patterns.
Use when a TypeScript/JavaScript task needs symbol navigation (`nav declarations|definition|references`), structural pattern search (`search`), structural rewrites (`patch`), or reference-based blast-radius estimation (`code-rank`). Prefer for compact, scoped repository analysis and migration work; do not use for runtime-path proofs, correctness guarantees, or replacing compiler/tests.