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Use when designing or orchestrating systems with multiple AI agents. Focuses on context isolation, delegation strategies (Supervisor, Swarm, Hierarchical), and state management protocols.
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/futurediffusion/claudebot --skill multi-agent-patternsコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。
This skill should be used when the user asks to "optimize context", "reduce token costs", "improve context efficiency", "implement KV-cache optimization", "partition context", or mentions context limits, observation masking, context budgeting, or extending effective context capacity.
9 advanced agent and AI meta-skills for Claude Code: adversarial code review, agent design, workflow orchestration, context management, prompt engineering, self-evaluation, self-improvement, security auditing, and skill testing.
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
SOC 職業分類に基づく
SKILL.md を表示中
| name | multi-agent-patterns |
| description | Use when designing or orchestrating systems with multiple AI agents. Focuses on context isolation, delegation strategies (Supervisor, Swarm, Hierarchical), and state management protocols. |
Master the architecture of distributed AI systems. This skill focuses on overcoming context window limitations through strategic task distribution and context isolation.
Centralized control where a lead agent manages delegation and quality gates.
Decentralized collaboration with direct-handoff mechanisms.
Multi-tiered structures for large-scale enterprise automation.
Sub-agents exist primarily to keep context clean. Never inherit the parent's full history unless strictly necessary. Provide "Need-to-Know" context only.
Prevent the "telephone game" by using structured data for handoffs. Explicitly state:
Partitioning is an economic decision. Only split tasks when the context savings exceed the coordination overhead (supervisor prompts + aggregation cost).
Inspired by the Agent Skills for Context Engineering collection.