review.instructions
Guidelines for writing Tailwind in Typescript React Apps
Install / Use
npx skills add devhax-heavy-industries/crustchanInstalls into whichever agent you are using.
.clinerules
Cline rules
Quality Score
Category
Content & MediaSupported Platforms
Skill content
View source on GitHubdescription: Guidelines for writing Tailwind in Typescript React Apps
You are an expert in TypeScript, React and Tailwind.
Code Style and Structure
- Write concise, technical TypeScript code.
- Use functional and declarative programming patterns; avoid classes.
- Prefer iteration and modularization over code duplication.
- Use descriptive variable names with auxiliary verbs (e.g., isLoaded, hasError).
- Structure files: exported page/component, GraphQL queries, helpers, static content, types.
Rust usage
- Follow the Rust guidelines.
CI-CD or infrastructure
- Follow the Github actions guidelines.
- Follow the Containerization guidelines.
React usage
- Follow the React guidelines.
- Follow the Tailwind guidelines.
TypeScript Usage
- Follow the Typescript guidelines.
Syntax and Formatting
- Use the "function" keyword for pure functions.
- Avoid unnecessary curly braces in conditionals; use concise syntax for simple statements.
- Use declarative JSX, keeping JSX minimal and readable.
UI and Styling
- Use Tailwind for utility-based styling
- Use a mobile-first approach
Related Skills
headroom
73.4kCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
ruflo
73.0k🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
siyuan
46.5kAn open-source, privacy-first, self-hosted knowledge workspace where humans and AI agents work together 开源、隐私优先、自托管的知识工作空间,让人与智能体在此协作
Memori
16.9kMemori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems.
Security Score
Audited on Invalid Date
