本文へ移動
cccskills
無料GitHub で公開

build-tools-expert

Build tools expert including Vite, Webpack, and bundler configuration

インストール方法を見る

含まれるファイル(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)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

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.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

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

日本語の概要は準備中です。原文の説明を表示しています。

oimiragieo/agent-studio432026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.

日本語の概要は準備中です。原文の説明を表示しています。

oimiragieo/agent-studio432026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.

日本語の概要は準備中です。原文の説明を表示しています。

oimiragieo/agent-studio432026年7月14日 更新

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

日本語の概要は準備中です。原文の説明を表示しています。

oimiragieo/agent-studio432026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.

日本語の概要は準備中です。原文の説明を表示しています。

oimiragieo/agent-studio432026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

日本語の概要は準備中です。原文の説明を表示しています。

oimiragieo/agent-studio432026年7月14日 更新

oimiragieo のスキルをすべて見る

このスキルの問題を報告する