A comprehensive performance optimization guide for React and Next.js applications featuring 62 rules maintained by Vercel Engineering.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install react-best-practices-2
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install react-best-practices-2 using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Vercel React Best Practices is a high-performance development framework designed to guide AI agents and developers in building efficient React and Next.js applications. By leveraging these Openclaw Skills, users can access 62 specific rules across eight distinct categories, ranging from critical waterfall elimination to advanced JavaScript performance patterns. This skill translates Vercel Engineering's production-grade expertise into actionable prompts and refactoring guidelines.
The primary purpose of this skill is to provide a structured knowledge base for performance auditing. It helps in identifying common pitfalls such as heavy barrel imports, unnecessary re-renders, and inefficient data fetching strategies. By integrating these Openclaw Skills into your workflow, you ensure that your application remains fast, scalable, and aligned with the latest architectural standards of the React ecosystem.
To deploy this skill within your environment, follow these standard installation steps for Openclaw Skills:
# Clone or move the skill into your project's skills directory
mv vercel-react-best-practices/ .skills/
# Verify the installation of rule files
ls .skills/vercel-react-best-practices/rules/
# Access the full agent-optimized documentation
cat .skills/vercel-react-best-practices/AGENTS.md
Ensure your AI configuration points to the rules/ directory to allow the agent to reference individual optimization patterns during the coding process.
The skill utilizes a hierarchical metadata structure to organize its optimization rules. This enables Openclaw Skills to prioritize changes based on impact levels.
| Component | Format | Description |
|---|---|---|
| Rule Categories | Enumerated (1-8) | Prioritized from Critical (Waterfalls) to Low (Advanced Patterns) |
| Rule Files | Markdown (.md) |
Contains explanation, incorrect code, and the optimized solution |
| Rule Prefixes | String Keys | Unique identifiers like async-, bundle-, and server- for easy tagging |
| AGENTS.md | Markdown | A compiled master document for large context window AI agents |
Data is organized to be easily searchable by performance impact, allowing for granular optimization passes.
async-parallel and async-suspense-boundaries logic.React.cache() for request deduplication and non-blocking after() operations.Loading
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