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Found 512 Skills
Clean Code practices for TypeScript/JavaScript. Identify code smells, apply refactoring patterns, and write maintainable code. Use when reviewing code quality, refactoring messy code, or ensuring code follows best practices. Triggers on requests like "clean up this code", "refactor for readability", "identify code smells", or "make this more maintainable".
Angular + BEM CSS methodology guide for creating reusable components and shareable front-end code. Enforces component-scoped BEM blocks, max 2-level nesting, proper component decomposition, semantic element naming, correct modifier patterns, and flat selectors. Use when writing, reviewing, or refactoring Angular component styles. Triggers on tasks involving CSS, SCSS, SASS, component styling, BEM naming, or CSS architecture.
Comprehensive naming convention guide for TypeScript and Angular applications. Covers casing rules (camelCase, PascalCase, UPPER_CASE), prefix conventions (I for interfaces, _ for private, T for generics), boolean naming, the S-I-D principle (Short, Intuitive, Descriptive), context duplication, and structured naming patterns (P/HC/LC for variables, A/HC/LC for functions). Use when writing, reviewing, or refactoring TypeScript code. Triggers on tasks involving naming, variables, functions, interfaces, or code style.
Comprehensive Python expertise covering language fundamentals, idiomatic patterns, software design principles, and production best practices. Use when writing, reviewing, debugging, or refactoring Python code. Triggers: Python, .py files, pip, uv, pytest, dataclasses, asyncio, type hints, or any Python library.
Bootstrap, develop, and design modern WinUI 3 desktop applications with C# and the Windows App SDK using official Microsoft guidance, WinUI Gallery patterns, Windows App SDK samples, and CommunityToolkit components. Use when creating a brand new app, preparing a machine for WinUI, reviewing, refactoring, planning, troubleshooting, environment-checking, or setting up WinUI 3 XAML, controls, navigation, windowing, theming, accessibility, responsiveness, performance, deployment, or related Windows app design and development work.
Open standards and governance rules for Agent Skills. It is used for creation, modification, refactoring, migration, audit and maintenance of skills, and provides platform-independent structural standards, frontmatter specifications, progressive disclosure and quality gates.
CMake build system skill for C/C++ projects. Use when writing or refactoring CMakeLists.txt, configuring out-of-source builds, selecting generators (Ninja, Make, VS), managing targets and dependencies with target_link_libraries, integrating external packages via find_package or FetchContent, enabling sanitizers, setting up toolchain files for cross-compilation, or exporting CMake packages. Activates on queries about CMakeLists.txt, cmake configure errors, target properties, install rules, CPack, or CMake presets.
Detect codebase bloat through progressive analysis: dead code, duplication, complexity, documentation bloat. Use when context usage high, quarterly maintenance, pre-release cleanup, before refactoring. Do not use when active feature development, time-sensitive bugs, codebase < 1000 lines.
Vue SFC implementation playbook for weapp-vite mini-program projects, including `<script setup lang="ts">`, JSON macros (`defineAppJson/definePageJson/defineComponentJson`), `usingComponents`, template directive compatibility, and SFC compile/runtime troubleshooting. Use when users ask about `.vue` authoring or refactoring in mini-programs (e.g. "v-model 在小程序里怎么写", "definePageJson 和 <json> 怎么选", "SFC 编译报错", "usingComponents 不生效").
Bounded codebase exploration and architecture mapping. Use when discovery is needed before implementation. Do NOT use for broad refactoring — use do-plan instead.
Use when designing software architecture, refactoring code structure, solving recurring design problems, or when code exhibits symptoms like tight coupling, rigid hierarchies, scattered responsibilities, or difficult-to-test components. Also use when choosing between architectural approaches or reviewing code for structural improvements.
Use ONLY when creating NEW registrable components in ML projects that require Factory/Registry patterns. ✅ USE when: - Creating a new Dataset class (needs @register_dataset) - Creating a new Model class (needs @register_model) - Creating a new module directory with __init__.py factory - Initializing a new ML project structure from scratch - Adding new component types (Augmentation, CollateFunction, Metrics) ❌ DO NOT USE when: - Modifying existing functions or methods - Fixing bugs in existing code - Adding helper functions or utilities - Refactoring without adding new registrable components - Simple code changes to a single file - Modifying configuration files - Reading or understanding existing code Key indicator: Does the task require @register_* decorator or Factory pattern? If no, skip this skill.