代理技能:用於 React 和 Next.js 工作流程的 AI 代理
本文介紹了「代理技能」(agent-skills),這是一系列旨在擴展 AI 編碼代理功能的指令和腳本,特別針對 React 和 Next.js 開發工作流程。文章重點介紹了「react-best-practices」、「web-design-guidelines」和「vercel-deploy-claimable」等技能,並說明了在各種 AI 編碼平台上進行安裝的方法。
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Agent Skills
A collection of skills for AI coding agents. Skills are packaged instructions and scripts that extend agent capabilities.
Skills follow the Agent Skills format.
Available Skills
react-best-practices
React and Next.js performance optimization guidelines from Vercel Engineering. Contains 40+ rules across 8 categories, prioritized by impact.
Use when:
Categories covered:
web-design-guidelines
Review UI code for compliance with web interface best practices. Audits your code for 100+ rules covering accessibility, performance, and UX.
Use when:
Categories covered:
vercel-deploy-claimable
Deploy applications and websites to Vercel instantly. No authentication required. Deployments are "claimable" - users can transfer ownership to their own Vercel account.
Use when:
Features:
How it works:
Output:
Installation
Install skills using the CLI:
Codex
Follow the Codex skills guide and place the skill under $CODEX_HOME/skills:
Codex will auto-discover SKILL.md files in that directory on the next start.
OpenCode
OpenCode discovers skills from ~/.claude/skills/<name>/SKILL.md automatically. See OpenCode Skills docs for more details.
Claude Code
Use the /install-skill slash command to install directly from GitHub:
For example, to install vercel-deploy:
Add --personal to install to ~/.claude/skills/ (available across all projects) or --project for .claude/skills/ (project-specific, default).
See the Claude Code Skills docs for more details.
claude.ai
Add the skill to your project knowledge or paste the contents of SKILL.md into your conversation.
For network-dependent skills (like vercel-deploy-claimable), you may need to allow domains:
Usage
Skills are automatically available once installed. The agent will use them when relevant tasks are detected.
Examples:
Skill Structure
Each skill contains:
License
MIT
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