multi agent analysis and execution
/install multi-agent-analysis-execution
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
- Lean by default — minimal files, fast execution
- Debug on demand — full traceability when needed
- 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
-
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.
-
Dependency Analysis
- Answer: "What depends on what?"
- Identify ordering constraints
- Identify parallelizable tasks
-
Execution Group Formation
- Group independent tasks
- Define strict execution order between groups
-
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.
-
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:
- Spawn all agents with the generated prompt of phase 0 in the group (parallel allowed)
- Ensure agents only operate within their defined scope
- Wait for ALL agents in the group to complete
- Verify successful completion of each agent
- 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
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install multi-agent-analysis-execution - 安装完成后,直接呼叫该 Skill 的名称或使用
/multi-agent-analysis-execution触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
multi agent analysis and execution 是什么?
Orchestrate complex multi-agent workflows with explicit coordinator planning, execution governance, and *automatic output management*. Each skill run creates... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 102 次。
如何安装 multi agent analysis and execution?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install multi-agent-analysis-execution」即可一键安装,无需额外配置。
multi agent analysis and execution 是免费的吗?
是的,multi agent analysis and execution 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
multi agent analysis and execution 支持哪些平台?
multi agent analysis and execution 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 multi agent analysis and execution?
由 RubenCoppensOnGit(@rubencoppensongit)开发并维护,当前版本 v1.0.4。