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multi-agent-analysis-execution多智能体分析执行

Agent Skill

multi-agent-analysis-execution 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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。

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3,369

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下载量

1,101
OpenClaw

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

MIT-0

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-analysis-execution(多智能体分析执行)
来源仓库:https://github.com/rubencoppensongit/multi-agent-analysis-execution
安装命令:
openclaw skills install multi-agent-analysis-execution
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install multi-agent-analysis-execution

简介

该技能通过协调器规划、执行治理和自动输出管理,实现复杂多代理工作流的编排与自动化。

  • 适用于需要高效协同多个 Agent 完成任务分解、并行处理及结果整合的场景。
  • 每次运行都会生成结构化输出,便于追踪进度与验证结果,提升整体执行效率。
  • 安装命令为 openclaw skills install multi-agent-analysis-execution,建议在受控环境中测试后再投入生产。
  • 使用前需明确各代理角色与权限边界,避免因资源竞争或通信冲突导致任务失败。

SKILL.md

name
multi agent analysis and execution
description
Orchestrate complex multi-agent workflows with explicit coordinator planning, execution governance, and *automatic output management*. Each skill run creates its own isolated output namespace to prevent file accumulation and confusion from repeated executions.
version
1.0.0

multi_agent_coordinator - SKILL.md (Lean + Debug Mode)

Description

Orchestrate complex multi-agent workflows with an explicit coordinator-driven process that plans, sequences, and governs execution across multiple agents.

This version keeps the system lean by default while preserving the full coordination logic, guardrails, and execution discipline required for reliable multi-agent workflows.

Critical Rule: When this skill is invoked, the coordinator process MUST execute fully across all phases. No phases may be skipped or partially executed.


Core Principles

  1. Lean by default — minimal files, fast execution
  2. Debug on demand — full traceability when needed
  3. Run isolation always — every run gets its own directory

Run Directory (Always Created)

Each execution creates a unique directory:

Coordinator_runs/
└── run_YYYYMMDD_HHMMSS/
  • No absolute paths
  • Prevents collisions
  • Keeps runs isolated

Modes

mode = lean (default) | debug

Lean Mode (default)

  • Minimal output
  • No intermediate files

Debug Mode

  • Full artifact generation
  • Complete traceability

The Five-Phase Coordinator Process

MANDATORY EXECUTION CONTRACT

  • You MUST start at PHASE 0
  • You MUST execute phases sequentially (0 → 4)
  • You MUST NOT skip phases
  • You MUST NOT perform ad-hoc reasoning outside the coordinator structure
  • You MUST follow the planned execution (no improvisation during execution)

PHASE 0: COORDINATOR PLANNING

This phase defines the core intelligence of the skill and MUST be executed carefully.

Mandatory Planning Steps

  1. Task Plan Creation

- Analyze the problem - Answer: *"What steps are required to solve this?"* - Decompose into clear, atomic tasks - Limit the number of tasks to 15 for any given problem.

  1. Dependency Analysis

- Answer: *"What depends on what?"* - Identify ordering constraints - Identify parallelizable tasks

  1. Execution Group Formation

- Group independent tasks - Define strict execution order between groups

  1. Agent Specification (CRITICAL GUARDRAIL)

For each task (max 15 ): - Define a single-purpose agent - Assign a clear responsibility - Define: - Inputs - Outputs - Constraints (read/write, safety, isolation) - Work and scanning only limited to the workspace unless explicit approval of user - Agent prompt - Each task MUST map to exactly one agent - No credentials, tokens etc should be passed or to be found in the generated prompt. - If the sub agent requires credentials they should be available via ENV or other tools.

  1. Coordinator Execution Strategy

The coordinator MUST: - Maintain full control of execution - Enforce group sequencing - Ensure all agents complete before proceeding - Handle failures explicitly (no silent failures)

Lean Mode

  • All planning done in memory

Debug Mode

Persist planning artifacts


PHASE 1: EXECUTION

This phase executes the previously defined plan with strict governance.

Execution Rules (MANDATORY)

For each execution group in order:

  1. Spawn all agents with the generated prompt of phase 0 in the group (parallel allowed)
  2. Ensure agents only operate within their defined scope
  3. Wait for ALL agents in the group to complete
  4. Verify successful completion of each agent
  5. ONLY THEN proceed to next group

Failure Handling (GUARDRAIL)

  • If an agent fails:

- Coordinator MUST detect it - MUST stop progression OR handle explicitly - MUST report failure in final output

Lean Mode

  • In-memory execution

Debug Mode

  • Persist prompts and outputs

PHASE 2: OUTPUT MANAGEMENT

Core Rule

All outputs MUST remain scoped to the current run directory.

Lean Mode

Only create:

runs/run_YYYYMMDD_HHMMSS/
└── REPORT.final

Optional:

└── run.log

Debug Mode

Full structure:

runs/run_YYYYMMDD_HHMMSS/
├── TASK_PLAN.md
├── DEPENDENCY_GRAPH.md
├── EXECUTION_GROUPS.md
├── AGENT_REQUIREMENTS.md
├── prompts/
├── outputs/
└── REPORT.final

PHASE 3: REPORTING

The coordinator MUST consolidate all results.

Requirements

  • Include results from ALL agents
  • Verify execution order was respected
  • Report any failures or inconsistencies

Output:

REPORT.final

PHASE 4: CLEANUP

Lean Mode

  • Minimal footprint
  • No additional cleanup required

Debug Mode

Optional retention policy:

keep_last = N

Guardrails Summary

  • MUST execute all phases sequentially
  • MUST NOT skip planning
  • MUST NOT bypass coordinator
  • MUST enforce task → agent mapping (1:1)
  • MUST enforce execution group sequencing
  • MUST detect and report failures
  • MUST isolate each run in its own directory

Summary

  • Lean by default, debug when needed
  • Full coordinator logic preserved
  • Strong execution guarantees via guardrails
  • Every run isolated

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

按任务关键词查找相关 Skills

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

78.38%
按下载量换算863

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权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install multi-agent-analysis-execution 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。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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