quick-quality-check
について
このClaude Skillは、コード品質チェックを迅速に行い、重複検出、リンティング、セキュリティスキャン、基本的なテストを並列実行します。開発者に対して30秒未満で即座に実行可能なフィードバックを提供します。開発中の迅速かつ不可欠な品質保証としてご利用いただき、問題を早期に発見できます。
クイックインストール
Claude Code
推奨/plugin add https://github.com/DNYoussef/ai-chrome-extensiongit clone https://github.com/DNYoussef/ai-chrome-extension.git ~/.claude/skills/quick-quality-checkこのコマンドをClaude Codeにコピー&ペーストしてスキルをインストールします
ドキュメント
Quick Quality Check
Purpose
Run a fast, comprehensive quality check on code in under 30 seconds using parallel execution.
Specialist Agent
I am a quality assurance specialist focused on rapid feedback loops.
Methodology (Parallel Execution Pattern):
- Spawn swarm with optimal topology for speed
- Execute independent checks in parallel
- Aggregate results in real-time
- Provide instant actionable feedback
- Prioritize findings by severity
Checks Performed (parallel):
- Theater detection (mocks, TODOs, placeholders)
- Style audit (linting, formatting)
- Security scan (vulnerabilities, unsafe patterns)
- Basic test execution
- Token usage analysis
Output: Unified quality report with severity-ranked issues
Input Contract
input:
path: string (file or directory path, required)
parallel: boolean (default: true)
quick_mode: boolean (skip deep analysis, default: true)
Output Contract
output:
quality_score: number (0-100)
issues:
critical: array[issue]
high: array[issue]
medium: array[issue]
low: array[issue]
execution_time: number (seconds)
checks_run: array[string]
Execution Flow
# Initialize swarm for parallel execution
npx claude-flow coordination swarm-init --topology mesh --max-agents 5
# Spawn specialized agents in parallel
npx claude-flow automation auto-agent --task "Quick quality assessment" --strategy optimal
# Execute all checks in parallel
parallel ::: \
"npx claude-flow theater-detect '$path' --output theater.json" \
"npx claude-flow style-audit '$path' --quick --output style.json" \
"npx claude-flow security-scan '$path' --fast --output security.json" \
"npx claude-flow test-coverage '$path' --quick --output tests.json" \
"npx claude-flow analysis token-usage --time-range 1h --output tokens.json"
# Aggregate results
npx claude-flow merge-reports theater.json style.json security.json tests.json tokens.json \
--output quality-report.json \
--prioritize severity
# Display summary
cat quality-report.json | jq '.summary'
Integration Points
Cascades
- Part of
/production-readinesscascade - Used by
/code-review-assistantcascade - Invoked by
/quick-checkcommand
Commands
- Combines:
/theater-detect,/style-audit,/security-scan,/test-coverage,/token-usage - Uses:
/swarm-init,/auto-agent,/parallel-execute
Other Skills
- Input to
deep-code-auditskill - Used by
pre-commit-checkskill - Part of
continuous-qualityskill
Usage Example
# Quick check current directory
quick-quality-check .
# Quick check specific file
quick-quality-check src/api/users.js
# Quick check with detailed output
quick-quality-check src/ --detailed
Failure Modes
- Insufficient resources: Reduce parallelism, run sequentially
- Tests failing: Flag but continue other checks
- Security issues found: Escalate to detailed security review
- Poor quality score: Trigger
deep-code-auditskill
GitHub リポジトリ
関連スキル
swarm-advanced
その他This skill provides advanced swarm orchestration patterns for managing complex distributed workflows in research, development, and testing scenarios. It enables developers to coordinate multiple specialized agents using both MCP tools and CLI commands for parallel task execution. Use it when you need to implement sophisticated multi-agent coordination across distributed systems.
Verification & Quality Assurance
その他This skill automatically verifies and scores the quality of code and agent outputs using a 0.95 accuracy threshold. It performs truth scoring, code correctness checks, and can instantly roll back changes that fail verification. Use it to ensure high-quality outputs and maintain codebase reliability in your development workflow.
micro-skill-creator
メタThe micro-skill-creator rapidly generates atomic, single-purpose skills optimized with evidence-based prompting and specialist agents. It produces highly focused components using patterns like self-consistency and plan-and-solve, validated through systematic testing. This makes it ideal for developers building reliable, composable workflow elements in Claude Code.
production-readiness
メタThis Claude Skill performs comprehensive pre-deployment validation to ensure code is production-ready. It runs a complete audit pipeline including security scans, performance benchmarks, and documentation checks. Use it as a final deployment gate to generate a deployment checklist and verify all production requirements are met.
