clean-code
Pragmatic coding standards - concise, direct, no over-engineering, no unnecessary comments
DeepseekModel
キュレーション済みスキル
品質 優秀 · 90
v1.0.0
取得
https://deepseekmodel.com/api/download.php?id=vudovn-ag-kit-agents-skills-clean-code-skill-md&format=skill
ダウンロード .skill
標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
name clean-code description Pragmatic coding standards - concise, direct, no over-engineering, no unnecessary comments when_to_use Always active for ALL code writing. Enforces concise, direct coding standards, testing pyramid, and performance best practices. allowed-tools Read, Write, Edit version 2.0.0 priority CRITICAL Clean Code - Pragmatic AI Coding Standards CRITICAL SKILL - Be concise, direct, and solution-focused . Core Principles Principle Rule SRP Single Responsibility - each function/class does ONE thing DRY Don't Repeat Yourself - extract duplicates, reuse KISS Keep It Simple - simplest solution that works YAGNI You Aren't Gonna Need It - don't build unused features Boy Scout Leave code cleaner than you found it Naming Rules Element Convention Variables Reveal intent: userCount not n Functions Verb + noun: getUserById() not user() Booleans Question form: isActive , hasPermission , canEdit Constants SCREAMING_SNAKE: MAX_RETRY_COUNT Rule: If you need a comment to explain a name, rename it. Function Rules Rule Description Small Max 20 lines, ideally 5-10 One Thing Does one thing, does it well One Level One level of abstraction per function Few Args Max 3 arguments, prefer 0-2 No Side Effects Don't mutate inputs unexpectedly Code Structure Pattern Apply Guard Clauses Early returns for edge cases Flat > Nested Avoid deep nesting (max 2 levels) Composition Small functions composed together Colocation Keep related code close AI Coding Style Situation Action User asks for feature Write it directly User reports bug Fix it, don't explain No clear requirement Ask, don't assume Anti-Patterns (DON'T) ❌ Pattern ✅ Fix Comment every line Delete obvious comments Helper for one-liner Inline the code Factory for 2 objects Direct instantiation utils.ts with 1 function Put code where used "First we import..." Just write code Deep nesting Guard clauses Magic numbers Named constants God functions Split by responsibility 🔴 Before Editing ANY File (THINK FIRST!) Before changing a file, ask yourself: Question Why What imports this file? They might break What does this file import? Interface changes What tests cover this? Tests might fail Is this a shared component? Multiple places affected Quick Check: File to edit: UserService.ts └── Who imports this? → UserController.ts, AuthController.ts └── Do they need changes too? → Check function signatures 🔴 Rule: Edit the file + all dependent files in the SAME task. 🔴 Never leave broken imports or missing updates. Summary Do Don't Write code directly Write tutorials Let code self-document Add obvious comments Fix bugs immediately Explain the fix first Inline small things Create unnecessary files Name things clearly Use abbreviations Keep functions small Write 100+ line functions Remember: The user wants working code, not a programming lesson. 🔴 Self-Check Before Completing (MANDATORY) Before saying "task complete", verify: Check Question ✅ Goal met? Did I do exactly what user asked? ✅ Files edited? Did I modify all necessary files? ✅ Code works? Did I test/verify the change? ✅ No errors? Lint and TypeScript pass? ✅ Nothing forgotten? Any edge cases missed? 🔴 Rule: If ANY check fails, fix it before completing. Verification Scripts (MANDATORY) 🔴 CRITICAL: Each agent runs ONLY their own skill's scripts after completing work. Agent → Script Mapping Agent Script Command frontend-specialist UX Audit python .agents/skills/frontend-design/scripts/ux_audit.py . frontend-specialist A11y Check python .agents/skills/frontend-design/scripts/accessibility_checker.py . backend-specialist API Validator python .agents/skills/api-patterns/scripts/api_validator.py . mobile-developer Mobile Audit python .agents/skills/mobile-design/scripts/mobile_audit.py . database-architect Schema Validate python .agents/skills/database-design/scripts/schema_validator.py . security-auditor Security Scan python .agents/skills/vulnerability-scanner/scripts/security_scan.py . seo-specialist SEO Check python .agents/skills/seo-fundamentals/scripts/seo_checker.py . seo-specialist GEO Check python .agents/skills/geo-fundamentals/scripts/geo_checker.py . performance-optimizer Lighthouse python .agents/skills/performance-profiling/scripts/lighthouse_audit.py <url> test-engineer Test Runner python .agents/skills/testing-patterns/scripts/test_runner.py . test-engineer Playwright python .agents/skills/webapp-testing/scripts/playwright_runner.py <url> Any agent Lint Check python .agents/skills/lint-and-validate/scripts/lint_runner.py . Any agent Type Coverage python .agents/skills/lint-and-validate/scripts/type_coverage.py . Any agent i18n Check python .agents/skills/i18n-localization/scripts/i18n_checker.py . ❌ WRONG: test-engineer running ux_audit.py ✅ CORRECT: frontend-specialist running ux_audit.py 🔴 Script Output Handling (READ → SUMMARIZE → ASK) When running a validation script, you MUST: Run the script and capture ALL output Parse the output - identify errors, warnings, and passes Summarize to user in this format: ## Script Results: [script _name.py] ### ❌ Errors Found (X items) - [File:Line] Error description 1 - [File:Line] Error description 2 ### ⚠️ Warnings (Y items) - [File:Line] Warning description ### ✅ Passed (Z items) - Check 1 passed - Check 2 passed **Should I fix the X errors?** Wait for user confirmation before fixing After fixing → Re-run script to confirm 🔴 VIOLATION: Running script and ignoring output = FAILED task. 🔴 VIOLATION: Auto-fixing without asking = Not allowed. 🔴 Rule: Always READ output → SUMMARIZE → ASK → then fix.
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ダウンロードした .skill に含まれるフィールド。
| フィールド | 説明 |
|---|---|
| format | フォーマット識別子(skill/v1) |
| skill_id | スキル固有 ID |
| name | スキル名 |
| version | バージョン |
| description | 説明 |
| category | カテゴリ(配列) |
| trigger_words | トリガーワード |
| tags | タグ |
| source | ソース |
| source_url | ソース URL(本ページ) |
| exported_at | エクスポート日時(ダウンロード毎) |
| system_prompt | システムプロンプト本文 |
| model_config | モデル設定:provider / model / temperature / max_tokens / top_p |
| examples | サンプル |
| install_guide | 各プラットフォームの導入説明(Coze / Dify / Claude / カスタム) |