Pilot Swarm Task Farm Setup
/install pilot-swarm-task-farm-setup
Swarm Task Farm Setup
Deploy 5 agents: 1 leader, 3 workers, and 1 monitor.
Roles
| Role | Hostname | Skills | Purpose |
|---|---|---|---|
| leader | \x3Cprefix>-leader |
pilot-leader-election, pilot-formation, pilot-task-router, pilot-broadcast | Elected leader, distributes tasks |
| worker-N | \x3Cprefix>-worker-N |
pilot-swarm-join, pilot-map-reduce, pilot-task-retry, pilot-metrics | Executes tasks, retries on failure |
| monitor | \x3Cprefix>-monitor |
pilot-task-monitor, pilot-mesh-status, pilot-slack-bridge, pilot-metrics | Tracks swarm health |
Setup Procedure
Step 1: Ask the user which role and prefix. For workers, also ask the worker number (1, 2, or 3).
Step 2: Install skills:
# leader:
clawhub install pilot-leader-election pilot-formation pilot-task-router pilot-broadcast
# worker (repeat for each):
clawhub install pilot-swarm-join pilot-map-reduce pilot-task-retry pilot-metrics
# monitor:
clawhub install pilot-task-monitor pilot-mesh-status pilot-slack-bridge pilot-metrics
Step 3: Set hostname and write manifest to ~/.pilot/setups/swarm-task-farm.json.
Step 4: Handshake — workers trust leader + monitor; leader trusts all workers + monitor.
Manifest Templates Per Role
leader
{
"setup": "swarm-task-farm", "role": "leader", "role_name": "Swarm Leader",
"hostname": "\x3Cprefix>-leader",
"skills": {
"pilot-leader-election": "Participate in leader election via consensus.",
"pilot-formation": "Manage swarm membership.",
"pilot-task-router": "Partition and distribute tasks to workers.",
"pilot-broadcast": "Broadcast work units to all workers."
},
"data_flows": [
{ "direction": "send", "peer": "\x3Cprefix>-worker-1", "port": 1002, "topic": "task-assignment", "description": "Work units" },
{ "direction": "send", "peer": "\x3Cprefix>-worker-2", "port": 1002, "topic": "task-assignment", "description": "Work units" },
{ "direction": "send", "peer": "\x3Cprefix>-worker-3", "port": 1002, "topic": "task-assignment", "description": "Work units" },
{ "direction": "receive", "peer": "\x3Cprefix>-worker-1", "port": 1002, "topic": "task-result", "description": "Completed results" },
{ "direction": "receive", "peer": "\x3Cprefix>-worker-2", "port": 1002, "topic": "task-result", "description": "Completed results" },
{ "direction": "receive", "peer": "\x3Cprefix>-worker-3", "port": 1002, "topic": "task-result", "description": "Completed results" }
],
"handshakes_needed": ["\x3Cprefix>-worker-1", "\x3Cprefix>-worker-2", "\x3Cprefix>-worker-3", "\x3Cprefix>-monitor"]
}
worker-N
{
"setup": "swarm-task-farm", "role": "worker-N", "role_name": "Compute Worker",
"hostname": "\x3Cprefix>-worker-N",
"skills": {
"pilot-swarm-join": "Join the swarm and register with leader.",
"pilot-map-reduce": "Execute map-reduce work units.",
"pilot-task-retry": "Retry failed tasks with exponential backoff.",
"pilot-metrics": "Report CPU, memory, task throughput to monitor."
},
"data_flows": [
{ "direction": "receive", "peer": "\x3Cprefix>-leader", "port": 1002, "topic": "task-assignment", "description": "Work units" },
{ "direction": "send", "peer": "\x3Cprefix>-leader", "port": 1002, "topic": "task-result", "description": "Completed results" },
{ "direction": "send", "peer": "\x3Cprefix>-monitor", "port": 1002, "topic": "worker-metrics", "description": "Health metrics" }
],
"handshakes_needed": ["\x3Cprefix>-leader", "\x3Cprefix>-monitor"]
}
monitor
{
"setup": "swarm-task-farm", "role": "monitor", "role_name": "Swarm Monitor",
"hostname": "\x3Cprefix>-monitor",
"skills": {
"pilot-task-monitor": "Track task completion rates and queue depth.",
"pilot-mesh-status": "Monitor worker connectivity and latency.",
"pilot-slack-bridge": "Alert on worker failures or stalled tasks.",
"pilot-metrics": "Aggregate and display swarm metrics."
},
"data_flows": [
{ "direction": "receive", "peer": "\x3Cprefix>-worker-1", "port": 1002, "topic": "worker-metrics", "description": "Worker health" },
{ "direction": "receive", "peer": "\x3Cprefix>-worker-2", "port": 1002, "topic": "worker-metrics", "description": "Worker health" },
{ "direction": "receive", "peer": "\x3Cprefix>-worker-3", "port": 1002, "topic": "worker-metrics", "description": "Worker health" }
],
"handshakes_needed": ["\x3Cprefix>-leader", "\x3Cprefix>-worker-1", "\x3Cprefix>-worker-2", "\x3Cprefix>-worker-3"]
}
Data Flows
leader → worker-*: task assignments (port 1002)worker-* → leader: completed results (port 1002)worker-* → monitor: health metrics (port 1002)
Workflow Example
# On leader — distribute:
pilotctl --json publish \x3Cprefix>-worker-1 task-assignment '{"task_id":"T-001","type":"image_resize","input":"batch-a.zip"}'
# On worker-1 — complete:
pilotctl --json publish \x3Cprefix>-leader task-result '{"task_id":"T-001","status":"success","duration_s":34}'
pilotctl --json publish \x3Cprefix>-monitor worker-metrics '{"worker":"worker-1","cpu":72,"tasks_done":15}'
Dependencies
Requires pilot-protocol skill, pilotctl binary, clawhub binary, and a running daemon.
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install pilot-swarm-task-farm-setup - 安装完成后,直接呼叫该 Skill 的名称或使用
/pilot-swarm-task-farm-setup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
Pilot Swarm Task Farm Setup 是什么?
Deploy a self-organizing compute swarm with 5 agents. Use this skill when: 1. User wants to set up a distributed task farm or compute swarm 2. User is config... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 60 次。
如何安装 Pilot Swarm Task Farm Setup?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install pilot-swarm-task-farm-setup」即可一键安装,无需额外配置。
Pilot Swarm Task Farm Setup 是免费的吗?
是的,Pilot Swarm Task Farm Setup 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Pilot Swarm Task Farm Setup 支持哪些平台?
Pilot Swarm Task Farm Setup 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 Pilot Swarm Task Farm Setup?
由 Calin Teodor(@teoslayer)开发并维护,当前版本 v1.0.0。