fundamentals-gate
Verifies code quality including naming conventions, function size, and DRY principles. SUGGESTION gate that offers polish items during /own:done flow.
Verifies code quality including naming conventions, function size, and DRY principles. SUGGESTION gate that offers polish items during /own:done flow.
Guides documentation standards including READMEs, JSDoc, and code comments. Use when writing documentation, adding comments, or explaining code. Enforces "WHY not WHAT" principle.
宜搭自定义页面 PPT 幻灯片开发指南。用于在宜搭平台上创建全屏演示文稿式的幻灯片页面,支持键盘翻页、移动端适配、演讲笔控制等功能。适用于技术分享、产品路演、培训课件等场景。不适用于:创建普通数据展示页面(应使用 yida-custom-page),或创建数据报表(应使用 yida-report 或 yida-chart)。
Frontend-focused code review skill for React/TypeScript/Tailwind projects. Analyzes code quality, security vulnerabilities (XSS, CSRF), performance issues, accessibility (WCAG), React best practices, hooks usage, component architecture, responsive design, and SEO. Use when users request code review, want feedback on components, ask about frontend security, performance optimization, or accessibility compliance. Provides actionable feedback with severity levels and fix suggestions.
Codex CLI handles planning, design, and complex code implementation. Use for: architecture design, implementation planning, complex algorithms, debugging (root cause analysis), trade-off evaluation, code review. External research is NOT Codex's job — use general-purpose subagent (Opus) instead. Explicit triggers: "plan", "design", "architecture", "think deeper", "analyze", "debug", "complex", "optimize".
Generates custom design system rules for the user's codebase. Use when user says "create design system rules", "generate rules for my project", "set up design rules", "customize design system guidelines", or wants to establish project-specific conventions for Figma-to-code workflows. Requires Figma MCP server connection.
Build new features from GitHub issues or improve the agent
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
Generate hierarchical AGENTS.md structures for codebases. Use when user asks to create AGENTS.md files, analyze codebase for AI agent documentation, set up AI-friendly project documentation, or generate context files for AI coding assistants. Triggers on "create AGENTS.md", "generate agents", "analyze codebase for AI", "AI documentation setup", "hierarchical agents".
Work with Domscribe — the pixel-to-code bridge. Use when setting up, initializing, or configuring Domscribe for a project, OR when editing or modifying UI components (React, Vue, Next.js, Nuxt), implementing features from captured UI annotations, querying runtime context for source locations, exploring component structure, or when user mentions annotations, queued tasks, UI changes, props, state, DOM, or asks about how elements render at runtime.
Parses HTML for meta tags, generator comments, and script URL patterns
CLI tools for Svelte 5 documentation lookup and code analysis. MUST be used whenever creating or editing any Svelte component (.svelte) or Svelte module (.svelte.ts/.svelte.js). If possible, this skill should be executed within the svelte-file-editor agent for optimal results.
Evaluate Clojure code via nREPL using clj-nrepl-eval. Use this when you need to test code, check if edited files compile, verify function behavior, or interact with a running REPL session.
Apply cognitive constraints that reshape thinking. Use when user needs code generation (/code), advice (/interview), critique (/critic), debugging (/debug), brainstorming (/creative), simplification (/simplify), emotional support (/empathy), brevity (/concise), or structured planning (/planning). Auto-detects appropriate field from request type.
Generates comprehensive, LLM-optimized codebase context using PMAT (Pragmatic AI Labs MCP Agent Toolkit). Use this skill when: - Starting work on unfamiliar codebases - Onboarding to new projects or repositories - Need quick understanding of project architecture - Preparing for refactoring or feature implementation - Creating documentation or technical specifications Outputs highly compressed markdown (60-80% reduction) optimized for LLM consumption. Supports 25+ languages with architecture visualization, complexity heatmaps, and dependency graphs.
Provides automated refactoring suggestions and complexity reduction strategies using PMAT (Pragmatic AI Labs MCP Agent Toolkit). Use this skill when: - User requests code refactoring, optimization, or improvement - Complexity analysis reveals high-complexity functions (cyclomatic > 10) - Code review identifies maintainability issues - Technical debt needs to be addressed systematically - Preparing legacy code for modernization Supports 25+ languages with data-driven refactoring recommendations based on complexity metrics, mutation testing results, and industry best practices (Fowler's refactoring catalog).
Analyzes polyglot codebases with multiple programming languages using PMAT (Pragmatic AI Labs MCP Agent Toolkit). Use this skill when: - Working with projects containing multiple programming languages - Assessing cross-language integration patterns and quality - Understanding language distribution and architectural boundaries - Comparing quality metrics across language ecosystems - Identifying language-specific best practices violations Supports 25+ languages including Rust, Python, TypeScript, JavaScript, Go, C++, Java, Ruby, PHP, Swift, Kotlin, C, C#, Scala, Haskell, Elixir, Clojure, Dart, Lua, R, and more. Provides unified quality assessment across heterogeneous codebases.
Analyzes code quality, complexity, and technical debt using PMAT (Pragmatic AI Labs MCP Agent Toolkit). Use this skill when: - User mentions "code quality", "complexity", "technical debt", or "maintainability" - Reviewing code or conducting code review - Modifying or refactoring existing code files - Creating pull requests or preparing commits - Investigating performance or quality issues Supports 25+ languages including Rust, Python, TypeScript, JavaScript, Go, C++, Java, Ruby, PHP, Swift, and more. Provides cyclomatic complexity, cognitive complexity, maintainability index, dead code detection, and technical debt annotations (SATD: TODO, FIXME, HACK comments).
Generate Shiny Mediator handlers, contracts, middleware, and scaffold projects for .NET applications
Reorganize a markdown file to use bullet points and ensure all fenced code blocks have syntax labels
Example skill published from iterate's root skills directory
Generate a new UI component following the StyleSeed design conventions