← 返回
未分类 中文

Agent Orchestration Kit

Set up and manage multi-agent task orchestration on OpenClaw with async dispatch, leader coordination, real-time tracking, and approval workflows.
在OpenClaw上设置和管理多智能体任务编排,支持异步分发、领导者协调、实时追踪和审批工作流。
kuan0808
未分类 clawhub v0.2.0 1 版本 100000 Key: 无需
★ 0
Stars
📥 369
下载
💾 0
安装
1
版本
#latest

概述

name: agent-orchestration-kit

description: >

Use when setting up or managing a multi-agent task orchestration system on OpenClaw.

Use this skill whenever the user wants to: coordinate multiple agents, set up an agent team,

dispatch tasks across agents, track task progress in real-time, add approval gates to agent

workflows, create a star topology with a leader agent, build a multi-agent pipeline,

manage agent callbacks, or anything involving agents working together on tasks.

Also use when the user says "set up agents", "build a team", "orchestrate work",

"multi-agent workflow", "agent coordination", or "task dispatch".

version: 0.2.0

author: kuannnn

metadata:

{

"openclaw": {

"emoji": "🎛️",

"requires": {

"bins": ["node"]

}

}

}


Agent Orchestration Kit

Overview

This skill sets up a multi-agent task orchestration system on OpenClaw. It creates:

  • Star topology — Leader hub + specialist spokes, no spoke-to-spoke communication
  • Fully async dispatchsessions_send with timeoutSeconds: 0, Leader is never blocked
  • Task file tracking — each task is a markdown file with full state, steps, outputs, and log
  • Structured callback protocol — standardized signals drive Leader's routing decisions
  • Real-time status notifications — owner sees live progress updates on every dispatched task
  • Approval workflow — nothing executes externally without explicit owner approval
  • Heartbeat safety net — automatic stale task detection and recovery every 3 minutes via OpenClaw Heartbeat

What This Kit Is

This is not a prompt pack or a collection of agent personas. It is an orchestration protocol — a set of rules that govern how multiple agents coordinate work:

  1. Leader decomposes requests into atomic tasks
  2. Each task becomes a file before dispatch — the single source of truth
  3. Agents work asynchronously and callback with structured signals
  4. Leader processes callbacks, updates status, and routes next steps
  5. Quality gates and approval workflow prevent unreviewed output from reaching external systems

The agent roles are pluggable — swap in any specialist. The orchestration rules are the constant.

Prerequisites

  1. OpenClaw v2026.2.26+ installed and openclaw onboard completed
  2. At least one auth profile exists
  3. ~/.openclaw/ directory exists

Onboarding Flow

When first triggered, this skill runs an interactive setup process.

Step 1: Prerequisites Check

  • [ ] OpenClaw installed and openclaw onboard completed
  • [ ] ~/.openclaw/ directory exists
  • [ ] At least one auth profile configured

If any prerequisite is missing, guide the user to resolve it before continuing.

Step 2: Team Selection

Present team templates. All teams include Leader (required), Executor (recommended), and the Reviewer pattern (on-demand).

TeamSpecialistsBest For
-----------------------------
Software DevSenior Developer, Software ArchitectCode-centric projects
Content StudioContent Creator, ResearcherContent production workflows
Research & AnalysisResearcherInvestigation and deep analysis
Minimal(none — add agents later)Custom setups, start lean

> See templates/teams/ for team definitions. See templates/agents/ for all available agent templates.

After team selection, the user can add individual agents from the template catalog or create custom agents.

Step 3: Instance Configuration

Collect from the owner:

  1. Name (optional) — How the team addresses the owner. Can be omitted if Leader's SOUL.md/USER.md defines identity.
  2. Timezone — For scheduling and timestamps (e.g., Asia/Taipei, US/Pacific)
  3. Communication language — Language for all owner-facing messages (agent-to-agent is English)

After collecting, write the values to shared/INSTANCE.md (created by scaffold). Also update Leader's SOUL.md communication section to reflect the chosen language.

Step 4: Run Scaffold

# Create directories, copy templates, inject orchestration rules
bash scripts/scaffold.sh \
  --skill-dir "$(pwd)" \
  --team <selected-team>

# For named leader workspaces:
# bash scripts/scaffold.sh --skill-dir "$(pwd)" --team <selected-team> --leader-workspace workspace-bae

The scaffold creates:

  • Agent workspace directories with SOUL.md and AGENTS.md
  • Orchestration protocol rules injected into every agent's AGENTS.md
  • Shared operations files (shared/operations/)
  • Task tracking directory (tasks/, tasks/archive/)
  • Heartbeat template (HEARTBEAT.md) for task status checking

Step 4b: Preview & Merge Config

Always preview before merging. Run dry-run first so the user can inspect what will change:

# Preview what will be merged (no changes written)
node scripts/patch-config.js \
  --config ~/.openclaw/openclaw.json \
  --dry-run

Show the user the dry-run output and explain what each section does. Only proceed after confirmation:

# Apply the merge
node scripts/patch-config.js \
  --config ~/.openclaw/openclaw.json

What the config patcher merges:

Config KeyWhat It SetsWhy
------------------------------
agents.defaultscompaction: safeguard, timeout: 1800s, maxConcurrent: 4Stable defaults for multi-agent operation
agents.list[]Agent entries (id, name, workspace, tools.deny)Register each agent with OpenClaw
tools.agentToAgentenabled: true, allow listEnable inter-agent communication
tools.sessionsvisibility: "all"Agents can see each other's sessions
tools.exec.safeBinTrustedDirs/bin, /usr/bin, /opt/homebrew/bin, /usr/local/binTrusted paths for CLI execution
session.agentToAgentmaxPingPongTurns: 3A2A session ping-pong limit
session.parentForkMaxTokens100000Fork token budget
hooks.internalboot-md, bootstrap, command-logger, session-memoryEnable internal hooks
messages.ackReactionScope"all"Acknowledgment on all messages
commandsnative: "auto", nativeSkills: "auto", restart: trueNative command settings
agents.defaults.heartbeatevery: "3m", target: "last"Heartbeat interval for task status checking

Version compatibility: The script checks for OpenClaw v2026.2.26+ features (A2A sessions, agent list, exec trusted dirs). If the version is older, it will warn and suggest upgrading.

Safety: The script creates a timestamped backup of openclaw.json before writing. Restore with: cp ~/.openclaw/openclaw.json.backup- ~/.openclaw/openclaw.json

Step 5: Verification

openclaw gateway restart
openclaw doctor

Verify:

  • [ ] Leader responds to messages
  • [ ] sessions_send to at least one agent succeeds
  • [ ] HEARTBEAT.md exists in the leader workspace
  • [ ] After 3+ minutes, leader session shows heartbeat activity (check session logs)

The orchestration kit uses OpenClaw's Heartbeat mechanism (configured automatically by patch-config.js at 3-minute intervals). Task status messages and results are sent to the channel where the owner's request originated (the task's route). There is no fixed operations channel for routine updates.

If heartbeat is not triggering, ensure agents.defaults.heartbeat is set in openclaw.json AND the leader agent entry has an explicit heartbeat block.

Agent Structure

Required: Leader

The orchestration hub. Cannot be removed.

  • Task analysis and decomposition
  • Agent routing and async dispatch
  • Callback processing and quality review
  • Status notification management (send on dispatch, edit on every callback)
  • Approval workflow gating
  • Owner communication (only agent with direct owner access)

> Full protocol: templates/leader/AGENTS.md

> Persona: templates/leader/SOUL.md

Recommended: Executor

Prevents Leader from blocking on heavy operations.

  • File operations, CLI, configuration changes
  • Workspace maintenance, directory operations
  • Any operation that could take >30 seconds

Leader has exec access as fallback, but the protocol guides it to delegate time-consuming operations to Executor.

> Template: templates/executor/

Built-in Pattern: Reviewer

Not a persistent agent. Spawned on-demand via sessions_spawn when:

  • High-stakes deliverables need independent review
  • Owner explicitly requests review
  • Two consecutive rework failures on the same task

Uses [APPROVE] / [REVISE] signals. Max 2 review rounds per task.

> Template: templates/reviewer/

Specialist Slots

Filled from templates or custom definitions. Each specialist receives:

  1. Role-specific content from the chosen template (persona, workflow, output format)
  2. Orchestration rules auto-injected by the scaffold (callback format, signals, context loss recovery)

Available templates:

TemplateSourceDescription
-------------------------------
Senior DeveloperBuilt-inFull-stack implementation, TDD, code quality
Software ArchitectBuilt-inSystem design, ADRs, trade-off analysis
Code ReviewerBuilt-inCode review, security audit, quality assessment
Content CreatorBuilt-inCopywriting, visual direction, platform packaging
ResearcherBuilt-inMarket research, analysis, evidence-based briefs
CustomBlank templateDefine your own role
Agency AgentsExternal100+ templates from agency-agents

> See templates/agents/_template.md for the blank template structure.

Core Protocol — Quick Reference

Task Lifecycle

Owner request → Leader analyzes → Decomposes into atomic tasks →
  Creates task file (BEFORE dispatch) → Dispatches async →
  Sends status notification → Returns to owner (not blocked) →
  Processes callbacks → Updates status → Quality review →
  Delivers result [PENDING APPROVAL] → Owner approves → Execute

Signals

SignalMeaningLeader Action
--------------------------------
[READY]Complete and confidentQuality review → deliver or rework
[BLOCKED]Cannot proceedAssess alternative, re-route, or escalate
[NEEDS_INFO]Needs more contextGather info, re-brief
[LOW_CONFIDENCE]Delivered but uncertainCareful review, consider Reviewer
[SCOPE_FLAG]Task bigger than expectedReassess scope with owner
[APPROVE]Reviewer approvesMark [PENDING APPROVAL], present to owner
[REVISE]Reviewer requests changesCompose revision request to original agent
[PENDING APPROVAL]Awaiting owner approvalHold until owner responds
[CONTEXT_LOST]Session compactedRe-send task context from task file

Task File

Each task: tasks/T-{YYYYMMDD}-{HHMM}.md — the single source of truth.

# T-{id}: {task name}
status: in_progress | completed | cancelled
dispatched: {YYYY-MM-DD HH:MM}
route: {channel}:{thread}
callback_to: {Leader session key}
notification_status_msg: {messageId}
notification_result_msg: {messageId}

## Steps
1. [⏳] agent:{id} → {description}
   brief_to: agent:{id}:main
   output: {result summary}
   files: {paths}

> Full protocol (Leader's operating instructions): workspace/AGENTS.md (runtime) or templates/leader/AGENTS.md (source)

> Brief templates: shared/operations/brief-templates.md (runtime) or references/brief-templates.md (source)

> Approval pipeline: shared/operations/approval-workflow.md (runtime) or references/approval-workflow.md (source)

> Architecture and signals: references/architecture.md, references/signals.md (skill source)

Adding Agents Post-Setup

From Template Catalog

Say: "Add a Senior Developer agent" or "Add a Researcher to the team"

The kit will:

  1. Create workspace from template
  2. Inject orchestration rules
  3. Update openclaw.json
  4. Restart gateway

Custom Agent

Say: "Add a custom agent: Security Auditor"

The kit will:

  1. Create workspace from blank template
  2. Guide through role definition (capabilities, output format, boundaries)
  3. Inject orchestration rules
  4. Update config

From Agency Agents Catalog

Users can import agent templates from the Agency Agents repo. The scaffold script can inject orchestration compliance rules into any external agent template:

bash scripts/scaffold.sh --inject-orchestration <path-to-agent.md>

Directory Structure After Installation

~/.openclaw/
├── openclaw.json                     # Updated with agent configs
├── workspace/                        # Leader
│   ├── SOUL.md, AGENTS.md
│   ├── HEARTBEAT.md                  # Task status check procedure
│   ├── tasks/, tasks/archive/
│   └── shared/
│       ├── INSTANCE.md               # Owner name, timezone, language
│       └── operations/
│           ├── channel-map.md
│           ├── team-roster.md
│           ├── communication-signals.md
│           ├── brief-templates.md
│           └── approval-workflow.md
├── workspace-executor/
│   ├── SOUL.md, AGENTS.md
│   └── shared -> ../workspace/shared/
├── workspace-reviewer/               # On-demand (spawned by Leader)
│   ├── SOUL.md, AGENTS.md
│   └── shared -> ../workspace/shared/
├── workspace-{specialist}/           # Per specialist
│   ├── SOUL.md, AGENTS.md
│   └── shared -> ../workspace/shared/

Scripts

ScriptPurposeWhen to Run
------------------------------
scripts/scaffold.shCreate directories, copy templates, inject orchestration rulesInitial setup, adding agents
scripts/patch-config.jsMerge agent config into openclaw.jsonInitial setup, adding agents

Customization

Agent Behavior

Each agent has two files:

  • SOUL.md — Persona, philosophy, boundaries. Freely editable.
  • AGENTS.md — Operating procedures. Contains two sections:
  • Orchestration Protocol (auto-injected) — preserve this section
  • Role-Specific Instructions — freely editable

Notification Format

Status message format and result delivery templates are in references/brief-templates.md. Customize the owner-facing templates to match your communication language and style.

Approval Workflow

See references/approval-workflow.md for the full pipeline. Key customization points:

  • Approval shortcuts (what phrases count as "approve")
  • Stale approval timeout (default: 48h)
  • Auto-approve rules (if any)

版本历史

共 1 个版本

  • v0.2.0 当前
    2026-05-03 11:24 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
查看报告

腾讯云安全 (Sanbu)

安全,无风险
查看报告

🔗 相关推荐

developer-tools

Github

steipete
使用 `gh` CLI 与 GitHub 交互,通过 `gh issue`、`gh pr`、`gh run` 和 `gh api` 管理议题、PR、CI 运行及高级查询。
★ 669 📥 324,253
ai-intelligence

ontology

oswalpalash
类型化知识图谱,用于结构化智能体记忆与可组合技能。支持创建/查询实体(人员、项目、任务、事件、文档)及关联...
★ 712 📥 243,922
ai-intelligence

Self-Improving + Proactive Agent

ivangdavila
自我反思+自我批评+自我学习+自组织记忆。智能体评估自身工作、发现错误并持续改进。
★ 1,359 📥 318,562