Loading...
Loading...
Found 633 Skills
基于设计文档自动生成鸿蒙系统代码框架，包括 IDL 接口定义、目录结构、头文件、源文件模板、构建配置等。生成前会分析 OpenHarmony 存量代码，学习现有代码风格和架构规范。适用于用户请求：(1) 生成代码框架, (2) 创建 IDL 接口, (3) 生成 BUILD.gn 配置, (4) 创建服务代码, (5) 初始化项目结构, (6) 参考现有代码风格。关键词：code generation, IDL, BUILD.gn, bundle.json, SA profile, OpenHarmony code style, 代码生成, 接口定义, 构建配置, OH代码风格
Use when the user asks for text-to-speech narration or voiceover, accessibility reads, audio prompts, or batch speech generation via the OpenAI Audio API; run the bundled CLI (`scripts/text_to_speech.py`) with built-in voices and require `OPENAI_API_KEY` for live calls. Custom voice creation is out of scope.
Decide how to split skill content between SKILL.md and reference files for context efficiency and reliable triggering. Use this whenever creating a new Claude skill, refactoring an existing one, or when a SKILL.md is growing past 300-400 lines. Also trigger when the user mentions "progressive disclosure", "reference files", "splitting skills", "skill bundling", "context window for skills", "SKILL.md too long", "what goes in references/", "skill structure", or expresses any uncertainty about where to put content within a skill. Use this even if the user phrases the question as a triggering problem ("how do I make my skill trigger better"), because that question is often confused with the splitting question and needs to be disentangled first.
CASS Memory System - procedural memory for AI coding agents. Three-layer cognitive architecture with confidence decay, anti-pattern learning, cross-agent knowledge transfer, trauma guard safety system. Bun/TypeScript CLI.
Guidance for solving ARC-AGI style pattern recognition tasks that involve git operations (fetching bundles, merging branches) and implementing algorithmic transformations. This skill applies when tasks require merging git branches containing different implementations of pattern-based algorithms, analyzing input-output examples to discover transformation rules, and implementing correct solutions. (project)
Audit frontend codebases for security vulnerabilities and bad practices. Use when performing security reviews, auditing code for XSS/CSRF/DOM vulnerabilities, checking Content Security Policy configurations, validating input handling, reviewing file upload security, or examining Node.js/NPM dependencies. Target frameworks include web platform (vanilla HTML/CSS/JS), React, Astro, Twig templates, Node.js, and Bun. Based on OWASP security guidelines.
React performance optimization patterns using memoization, code splitting, and efficient rendering strategies. Use when optimizing slow React applications, reducing bundle size, or improving user experience with large datasets.
Optimizes web application performance through code splitting, lazy loading, caching strategies, and Core Web Vitals monitoring. Use when improving page load times, implementing service workers, or reducing bundle sizes.
Run a fully self-contained Xiaohongshu workflow with cookie auth and bundled JS signing assets. Use for note search, note text/image extraction, image download, user/profile data, comments, message center data, homefeed data, creator posted-note data, no-watermark URL conversion, and Excel/media export without depending on the original Spider_XHS repository.
Configure and optimize Vite 7 for React projects. Covers build tooling, dev server, plugins, HMR, chunk splitting, Environment API, and Rolldown integration. Use when setting up Vite, configuring builds, optimizing bundles, managing plugins, or troubleshooting dev server. Triggers on vite, vite config, vite plugin, HMR, dev server, build optimization, chunk splitting, rolldown, vite proxy, environment api, rolldown-vite.
Bundle TypeScript and JavaScript libraries with blazing-fast speed powered by Rolldown. Use when building libraries, generating type declarations, bundling for multiple formats, or migrating from tsup.
Keeping codebases healthy, performant, and maintainable - refactoring, performance optimization, and technical debt managementUse when "refactor, optimize, performance, technical debt, cleanup, architecture, speed up, bundle size, memory leak, slow query, code smell, complexity, dead code, performance, refactoring, optimization, technical-debt, architecture, cleanup, bundle, memory" mentioned.