Claude Code Skills · page 102

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Implement user skill change requests with optimization pattern evaluation

ユーザーのスキル変更要求を最適化パターン評価付きで実装

コードの品質問題、アンチパターン、可読性を検査。機能実装、コードレビュー、リファクタリング時に使用。

PRD、ADR、Design Doc、UI Spec、作業計画書の作成を支援。技術ドキュメントの作成・レビュー時、または「UI Spec/画面設計/コンポーネント分解」が言及された時に使用。

フロントエンドの環境変数、コンポーネント設計、データフローを定義。React環境設定時に使用。

React/TypeScriptの型安全性、コンポーネント設計、状態管理ルールを適用。Reactコンポーネント実装時に使用。

React Testing Library、MSW、Playwright E2Eでテストを設計。コンポーネントテストとE2Eテストパターンを適用。

実装戦略（垂直スライス、水平、ハイブリッド）をリスク評価で選択。機能の実装計画時に使用。

統合テストとE2Eテストを設計。モック境界と振る舞い検証ルールを適用。E2Eテスト、統合テスト作成時に使用。

AIの実行精度に必要なプロジェクト固有の前提情報を提供 — ドメイン制約、開発フェーズ、ディレクトリ規約、外部リソースのアクセス方法。セッション開始時、プロジェクト構成確認時、またはタスクがドメインルールやリポジトリ外の外部リソースを参照する時に使用。

スキルファイルの品質を8つのコンテンツパターンと9つの編集原則で評価・最適化。スキル作成、内容改善、品質監査時に使用。

サブエージェントのタスク分担と連携を調整。規模判定と自律実行モードを制御。大規模タスク分割時に使用。

タスクの本質を分析し適切なスキルを選択。規模見積もりとメタデータを返却。タスク開始時、スキル選択時に使用。

環境変数、アーキテクチャ設計、ビルド・テストコマンドを定義。環境設定、アーキテクチャ設計時に使用。

型安全性とエラーハンドリングルールを適用。any禁止、型ガード必須。TypeScript実装、型定義レビュー時に使用。

Vitestテスト設計と品質基準を適用。カバレッジ要件とモック使用ガイドを提供。ユニットテスト作成時に使用。

Manages free AI models from OpenRouter for OpenClaw. Automatically ranks models by quality, configures fallbacks for rate-limit handling, and updates openclaw.json. Use when the user mentions free AI, OpenRouter, model switching, rate limits, or wants to reduce AI costs.

Export, write, and manage Feishu/Lark cloud documents. Supports docx, sheets, bitable, wiki, WeChat article import/export, drive management, and browser-based export for public or browser-readable docs. Use this skill when you need to read, analyze, write, or manage content in a Feishu knowledge base.

This skill should be used when the user asks to 'orchestrate a task', 'break down work into parallel agents', 'coordinate subtasks', 'run agents in parallel', or mentions 'multi-agent'. Decomposes complex tasks into tracked subtasks, dispatches parallel subagents, and coordinates until completion.

Persistent memory system for AI agents. Use this skill to remember context across conversations, recall relevant information, and build long-term knowledge. Activate when you need to store decisions, learnings, errors, or context that should persist beyond the current session.

Inline orchestration workflow for automated bug detection and fixing with Beads integration. Provides step-by-step phases for bug-hunter detection, history enrichment for priority bugs, priority-based fixing with bug-fixer, and verification cycles.

Process error logs from admin panel - fetch new errors, analyze, create tasks, fix, and mark resolved

Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.

Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.

Calculate priority score for bugs, issues, or tasks based on severity, impact, and likelihood. Use for bug prioritization, task ordering, or risk assessment.

Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.

Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.

Inline orchestration workflow for dead code detection and removal with Beads integration. Provides step-by-step phases for dead-code-hunter detection, priority-based cleanup with dead-code-remover, and verification cycles.

Analyzes code changes for bugs, security vulnerabilities, performance problems, and architectural improvements. Generates structured markdown reports with evidence-based findings tied to specific file:line references, and creates Beads tasks for tracking. Adapts review depth based on scope — from quick pre-commit checks to thorough branch reviews. Use proactively when reviewing code before commits, after implementing features, before PRs, when checking code quality, or when the user mentions "review", "check changes", "code review", "PR review", "review branch", or any code quality assessment.

Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.

Inline orchestration workflow for dependency audit and updates with Beads integration. Provides step-by-step phases for dependency-auditor detection, priority-based updates with dependency-updater, and verification cycles.

Parse and validate semantic version strings from various formats. Use for extracting versions from text, validating semver compliance, or comparing version numbers.

Generate standardized conventional commit messages with Claude Code attribution. Use when creating automated commits, release commits, or any git commit requiring consistent formatting.

Generate well-formatted markdown tables from data with proper alignment and spacing. Use for report statistics, comparison tables, or summary data presentation.