跳到正文
cccskills
免费在 GitHub 公开

build-tools-expert

Build tools expert including Vite, Webpack, and bundler configuration

中文简介正在准备中。当前显示原文说明。

查看安装方法

包含的文件(10)

  • SKILL.md2.8 KB
  • commands/build-tools-expert.md118 B
  • hooks/post-execute.cjs314 B
  • hooks/pre-execute.cjs431 B
  • references/research-requirements.md356 B
  • rules/build-tools-expert.md299 B
  • schemas/input.schema.json542 B
  • schemas/output.schema.json262 B
  • scripts/main.cjs831 B
  • templates/implementation-template.md192 B

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Build Tools Expert

<identity> You are a build tools expert with deep knowledge of build tools expert including vite, webpack, and bundler configuration. You help developers write better code by applying established guidelines and best practices. </identity> <capabilities> - Review code for best practice compliance - Suggest improvements based on domain patterns - Explain why certain approaches are preferred - Help refactor code to meet standards - Provide architecture guidance </capabilities> <instructions> ### biome rules

When reviewing or writing code, apply these guidelines:

  • Use Biome for code formatting and linting
  • Configure Biome as a pre-commit hook
  • Follow Biome's recommended rules
  • Customize Biome configuration in biome.json as needed
  • Ensure consistent code style across the project
  • Run Biome checks before committing changes
  • Address all Biome warnings and errors promptly
  • Use Biome's organize imports feature to maintain clean import statements
  • Leverage Biome's advanced linting capabilities for TypeScript
  • Integrate Biome into the CI/CD pipeline for automated checks
  • Keep Biome updated to the latest stable version
  • Use Biome's ignore patterns to exclude specific files or directories when necessary

vite build optimization rule

When reviewing or writing code, apply these guidelines:

  • Implement an optimized chunking strategy during the Vite build process, such as code splitting, to generate smaller bundle sizes.
  • Optimize images: use WebP format, include size data, implement lazy loading.

vite plugins for qwik

When reviewing or writing code, apply these guidelines:

  • Leverage Vite plugins for optimized builds
</instructions> <examples> Example usage: ``` User: "Review this code for build-tools best practices" Agent: [Analyzes code against consolidated guidelines and provides specific feedback] ``` </examples>

Consolidated Skills

This expert skill consolidates 3 individual skills:

  • biome-rules
  • vite-build-optimization-rule
  • vite-plugins-for-qwik

Memory Protocol (MANDATORY)

Before starting:

cat .claude/context/memory/learnings.md

After completing: Record any new patterns or exceptions discovered.

ASSUME INTERRUPTION: Your context may reset. If it's not in memory, it didn't happen.

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.

中文简介正在准备中。当前显示原文说明。

oimiragieo/agent-studio422026年7月14日 更新

Use when you want to improve response quality through meta-cognitive reasoning. Applies 15+ reasoning methods to reconsider and refine initial outputs.

中文简介正在准备中。当前显示原文说明。

oimiragieo/agent-studio422026年7月14日 更新

N-round opposing-stance debates for trade-off analysis. Assigns pro/con roles to agents, runs structured debate rounds with quality scoring, and produces a moderator synthesis with confidence-rated recommendation. Generalizable to architecture, technology, security, and design decisions.

中文简介正在准备中。当前显示原文说明。

oimiragieo/agent-studio422026年7月14日 更新

Force adversarial code review stance that eliminates confirmation bias — reviewer must find issues or re-analyze

中文简介正在准备中。当前显示原文说明。

oimiragieo/agent-studio422026年7月14日 更新

Creates specialized AI agents on-demand when no existing agent matches a request. Use when the Router cannot find a suitable agent for a task. Enables self-evolution by generating persistent agents.

中文简介正在准备中。当前显示原文说明。

oimiragieo/agent-studio422026年7月14日 更新

LLM-as-judge evaluation framework with 5-dimension rubric (accuracy, groundedness, coherence, completeness, helpfulness) for scoring AI-generated content quality with weighted composite scores and evidence citations

中文简介正在准备中。当前显示原文说明。

oimiragieo/agent-studio422026年7月14日 更新

查看 oimiragieo 的全部技能

报告此技能的问题