vercel-composition-patterns
About
This Claude Skill provides React composition patterns for building scalable, maintainable components. It helps developers refactor components with boolean prop proliferation and design flexible component libraries using patterns like compound components and render props. Use it when working on component architecture, reusable APIs, or reviewing component design.
Quick Install
Claude Code
Recommended/plugin add https://github.com/majiayu000/claude-skill-registrygit clone https://github.com/majiayu000/claude-skill-registry.git ~/.claude/skills/vercel-composition-patternsCopy and paste this command in Claude Code to install this skill
Documentation
React Composition Patterns
Composition patterns for building flexible, maintainable React components. Avoid boolean prop proliferation by using compound components, lifting state, and composing internals. These patterns make codebases easier for both humans and AI agents to work with as they scale.
When to Apply
Reference these guidelines when:
- Refactoring components with many boolean props
- Building reusable component libraries
- Designing flexible component APIs
- Reviewing component architecture
- Working with compound components or context providers
Rule Categories by Priority
| Priority | Category | Impact | Prefix |
|---|---|---|---|
| 1 | Component Architecture | HIGH | architecture- |
| 2 | State Management | MEDIUM | state- |
| 3 | Implementation Patterns | MEDIUM | patterns- |
Quick Reference
1. Component Architecture (HIGH)
architecture-avoid-boolean-props- Don't add boolean props to customize behavior; use compositionarchitecture-compound-components- Structure complex components with shared context
2. State Management (MEDIUM)
state-decouple-implementation- Provider is the only place that knows how state is managedstate-context-interface- Define generic interface with state, actions, meta for dependency injectionstate-lift-state- Move state into provider components for sibling access
3. Implementation Patterns (MEDIUM)
patterns-explicit-variants- Create explicit variant components instead of boolean modespatterns-children-over-render-props- Use children for composition instead of renderX props
How to Use
Read individual rule files for detailed explanations and code examples:
rules/architecture-avoid-boolean-props.md
rules/state-context-interface.md
Each rule file contains:
- Brief explanation of why it matters
- Incorrect code example with explanation
- Correct code example with explanation
- Additional context and references
Full Compiled Document
For the complete guide with all rules expanded: AGENTS.md
GitHub Repository
Related Skills
content-collections
MetaThis skill provides a production-tested setup for Content Collections, a TypeScript-first tool that transforms Markdown/MDX files into type-safe data collections with Zod validation. Use it when building blogs, documentation sites, or content-heavy Vite + React applications to ensure type safety and automatic content validation. It covers everything from Vite plugin configuration and MDX compilation to deployment optimization and schema validation.
creating-opencode-plugins
MetaThis skill provides the structure and API specifications for creating OpenCode plugins that hook into 25+ event types like commands, files, and LSP operations. It offers implementation patterns for JavaScript/TypeScript modules that intercept and extend the AI assistant's lifecycle. Use it when you need to build event-driven plugins for monitoring, custom handling, or extending OpenCode's capabilities.
evaluating-llms-harness
TestingThis Claude Skill runs the lm-evaluation-harness to benchmark LLMs across 60+ standardized academic tasks like MMLU and GSM8K. It's designed for developers to compare model quality, track training progress, or report academic results. The tool supports various backends including HuggingFace and vLLM models.
langchain
MetaLangChain is a framework for building LLM applications using agents, chains, and RAG pipelines. It supports multiple LLM providers, offers 500+ integrations, and includes features like tool calling and memory management. Use it for rapid prototyping and deploying production systems like chatbots, autonomous agents, and question-answering services.
