multi-agent-patterns
✓為複雜任務設計多代理架構。當超出單代理上下文限制、任務自然分解為子任務或專門代理提高質量時使用。
SKILL.md
Multi-agent architectures distribute work across multiple language model instances, each with its own context window. When designed well, this distribution enables capabilities beyond single-agent limits. When designed poorly, it introduces coordination overhead that negates benefits. The critical insight is that sub-agents exist primarily to isolate context, not to anthropomorphize role division.
Multi-agent systems address single-agent context limitations through distribution. Three dominant patterns exist: supervisor/orchestrator for centralized control, peer-to-peer/swarm for flexible handoffs, and hierarchical for layered abstraction. The critical design principle is context isolation—sub-agents exist primarily to partition context rather than to simulate organizational roles.
Effective multi-agent systems require explicit coordination protocols, consensus mechanisms that avoid sycophancy, and careful attention to failure modes including bottlenecks, divergence, and error propagation.
為複雜任務設計多代理架構。當超出單代理上下文限制、任務自然分解為子任務或專門代理提高質量時使用。 來源:mjunaidca/mjs-agent-skills。
可引用資訊
為搜尋與 AI 引用準備的穩定欄位與指令。
- 安裝指令
npx skills add https://github.com/mjunaidca/mjs-agent-skills --skill multi-agent-patterns- 分類
- </>開發工具
- 認證
- ✓
- 收錄時間
- 2026-02-01
- 更新時間
- 2026-02-18
快速解答
什麼是 multi-agent-patterns?
為複雜任務設計多代理架構。當超出單代理上下文限制、任務自然分解為子任務或專門代理提高質量時使用。 來源:mjunaidca/mjs-agent-skills。
如何安裝 multi-agent-patterns?
開啟你的終端機或命令列工具(如 Terminal、iTerm、Windows Terminal 等) 複製並執行以下指令:npx skills add https://github.com/mjunaidca/mjs-agent-skills --skill multi-agent-patterns 安裝完成後,技能將自動設定到你的 AI 程式設計環境中,可以在 Claude Code 或 Cursor 中使用
這個 Skill 的原始碼在哪?
https://github.com/mjunaidca/mjs-agent-skills
詳情
- 分類
- </>開發工具
- 來源
- skills.sh
- 收錄時間
- 2026-02-01