affaan-m/dmux-workflows
docs/ja-JP/skills/dmux-workflows/SKILL.md
複数のAIエージェントとタスク集約ワークフローを調整します。複数のワーカーで作業を分配し、エラーを処理し、結果をマージ。
$ install --global
skillsauthnpx skillsauth add affaan-m/everything-claude-code dmux-workflowsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
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3
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9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
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Socket.devSupply chain security analysis
50%
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VirusTotalMulti-engine malware detection
50%
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CrowdStrikeAdvanced threat intelligence
50%
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OSV-ScannerOpen Source Vulnerability database check
50%
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OWASP Dep-Check
50%
Last scanned: May 18, 2026, 4:10 AM134.1s1 file scanned
SKILL.md
- name:
- dmux-workflows
- description:
- 複数のAIエージェントとタスク集約ワークフローを調整します。複数のワーカーで作業を分配し、エラーを処理し、結果をマージ。
- origin:
- ECC
dmux ワークフロー
複数のエージェントとタスク集約処理の調整。
使用時期
- 複数のタスクを並行して実行
- 大規模なワークフローを調整
- エージェント間でタスクを分配
- エラーハンドリングとリトライ
- 結果のマージと統合
アーキテクチャ
Input Task
↓
[Dispatcher]
↓
├─ Worker 1 → Task A
├─ Worker 2 → Task B
├─ Worker 3 → Task C
↓
[Result Merger]
↓
Unified Output
実装
1. タスク定義
tasks = [
Task(id=1, work="process data A"),
Task(id=2, work="process data B"),
Task(id=3, work="process data C"),
]
2. Dispatch
dispatcher.run_parallel(tasks, workers=3)
3. Results
results = dispatcher.get_results()
merged = merge_results(results)
ベストプラクティス
- [ ] タスク粒度を適切に設定
- [ ] エラーハンドリング
- [ ] ロギング
- [ ] モニタリング
- [ ] タイムアウト管理
詳細については、ドキュメントを参照してください。
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