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multi-agent-composition多剂组合物

Agent Skill

multi-agent-composition 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

264

周安装

11

GitHub Stars

18

下载量

88
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:multi-agent-composition(多剂组合物)
来源仓库:https://github.com/basher83/lunar-claude
仓库路径:skills/multi-agent-composition
安装命令:
npx skills add https://github.com/basher83/lunar-claude --skill multi-agent-composition
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/basher83/lunar-claude --skill multi-agent-composition

简介

multi-agent-composition 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合整理项目协作事项。

  • 适用于围绕仓库状态、代码变更或团队协作需求的信息归纳场景。
  • 通过 npx skills add 命令从 basher83/lunar-claude 仓库安装。
  • 使用前应确认权限范围、维护状态及是否涉及网络或文件操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Multi-Agent Composition

Master Claude Code's components, patterns, and principles to build effective agentic systems.

When to Use This Knowledge

Use this knowledge when:

  • Learning Claude Code - Understanding what each component does
  • Making architectural decisions - Choosing Skills vs Sub-Agents vs MCP vs Slash Commands
  • Building custom solutions - Creating specialized agents or orchestration systems
  • Scaling agentic workflows - Moving from single agents to multi-agent orchestration
  • Debugging issues - Understanding why components behave certain ways
  • Adding observability - Implementing hooks for monitoring and control

Quick Reference

The Core 4 Framework

Every agent is built on these four elements:

  1. Context - What information does the agent have?
  2. Model - What capabilities does the model provide?
  3. Prompt - What instruction are you giving?
  4. Tools - What actions can the agent take?
"Everything comes down to just four pieces. If you understand these, you will win."

Component Overview

ComponentTriggerUse WhenBest For
SkillsAgent-invokedRepeat problems needing managementDomain-specific workflows
Sub-AgentsTool-invokedParallelization & context isolationScale & batch operations
MCP ServersAs neededExternal data/servicesIntegration with external systems
Slash CommandsManual/toolOne-off tasksSimple repeatable prompts
HooksLifecycle eventsObservability & controlMonitoring & blocking

Composition Hierarchy

Skills (Top Layer)
  ├─→ Can use: Sub-Agents, Slash Commands, MCP Servers, Other Skills
  └─→ Purpose: Orchestrate primitives for repeatable workflows

Sub-Agents (Execution Layer)
  ├─→ Can use: Slash Commands, Skills
  └─→ Cannot nest other Sub-Agents

Slash Commands (Primitive Layer)
  └─→ The fundamental building block

MCP Servers (Integration Layer)
  └─→ Connect external systems

Golden Rules

  1. Always start with prompts - Master the primitive first
  2. "Parallel" = Sub-Agents - Nothing else supports parallel execution
  3. External = MCP, Internal = Skills - Clear separation of concerns
  4. One-off = Slash Command - Don't over-engineer
  5. Repeat + Management = Skill - Only scale when needed
  6. Don't convert all slash commands to skills - Huge mistake
  7. Context, Model, Prompt, Tools - Never forget the foundation

Documentation Structure

This skill uses progressive disclosure. Start here, then navigate to specific topics as needed.

Reference Documentation

Architecture fundamentals - What each component is and how they work

Implementation Patterns

How to use components effectively - Decision-making and implementation

Anti-Patterns

Common mistakes to avoid

  • common-mistakes.md - Converting all slash commands to skills, using skills for one-offs, context explosion, and more

Examples

Real-world case studies and progression paths

Workflows

Visual guides and decision trees

  • decision-tree.md - Decision trees, mindmaps, and visual guides for choosing components

Getting Started

If you're new to Claude Code

  1. Start with reference/architecture.md to understand components
  2. Read reference/core-4-framework.md to grasp the foundation
  3. Use patterns/decision-framework.md to make your first architectural choice
  4. Check anti-patterns/common-mistakes.md to avoid pitfalls

If you're making an architectural decision

  1. Open patterns/decision-framework.md
  2. Follow the decision tree to identify the right component
  3. Review the specific component in reference/architecture.md
  4. Check examples/ for similar use cases

If you're adding observability

  1. Read patterns/hooks-in-composition.md to understand available hooks and implementation
  2. Use isolated scripts pattern (UV, bun, or shell)

If you're scaling to multi-agent orchestration

  1. Ensure you've mastered custom agents first
  2. Read patterns/orchestrator-pattern.md
  3. Study examples/case-studies.md
  4. Review patterns/context-management.md

Key Principles from the Field

Prompts Are the Primitive

"Do not give away the prompt. The prompt is the fundamental unit of knowledge work and of programming. If you don't know how to build and manage prompts, you will lose."

Everything is prompts in the end. Master slash commands before skills. Have a strong bias toward slash commands.

Skills Are Compositional, Not Replacements

"It is very clear this does not replace any existing feature or capability. It is a higher compositional level."

Skills orchestrate other components; they don't replace them. Don't convert all your slash commands to skills—that's a huge mistake.

Observability is Everything

"When it comes to agentic coding, observability is everything. How well you can observe, iterate, and improve your agentic system is going to be a massive differentiating factor."

If you can't measure it, you can't improve it. If you can't measure it, you can't scale it.

Context Window Protection

"200k context window is plenty. You're just stuffing a single agent with too much work. Don't force your agent to context switch."

Create focused agents with single purposes. Delete them when done. Treat agents as temporary, deletable resources.

The Agentic Engineering Progression

Level 1: Base agents       → Use agents out of the box
Level 2: Better agents     → Customize prompts and workflows
Level 3: More agents       → Run multiple agents
Level 4: Custom agents     → Build specialized solutions
Level 5: Orchestration     → Manage fleets of agents

Source Attribution

This knowledge synthesizes:

  • Video presentations by Claude Code engineering team
  • Official Claude Code documentation (docs.claude.com)
  • Hands-on experimentation and validation
  • Multi-agent orchestration patterns from the field

Quick Navigation

Need to understand what a component is?reference/architecture.md

Need to choose the right component?patterns/decision-framework.md

Need to implement hooks?patterns/hooks-in-composition.md

Need to scale to multiple agents?patterns/orchestrator-pattern.md

Need to see real examples?examples/

Need visual guides?workflows/decision-tree.md

Want to avoid mistakes?anti-patterns/common-mistakes.md


Remember: Context, Model, Prompt, Tools. Master these four, and you master Claude Code.

适合场景

01

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02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.28%
按下载量换算30

Claude

31.38%
按下载量换算28

Cursor

18.86%
按下载量换算17

Gemini CLI

8.62%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/basher83/lunar-claude --skill multi-agent-composition 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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