Search

PythonReactSEOPDF
OpenClaw

subagent-orchestrator

Orchestrate OpenClaw subagents for continuous autopilot workflows. Use when managing UI/代码/验证/档案/侦察 task lines, continuing multi-round work without waiting for the user to restate each step, cleaning finished sessions while preserving memory records, routing default models by role, or updating AGENT_TASK_BOARD / subagent handoff rules.

hackjsw0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install hackjsw/subagent-orchestrator

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

subagent-orchestrator

Run continuous task lines through the main controller, not by accident.

Core rules

  1. Treat autopilot as a continuous line

    • Do not stop at “one run finished”.
    • A finished run means handoff, not “whole line done”.
    • Continue until one of: complete, blocked, paused by user.
  2. The main controller must directly re-dispatch

    • Do not wait for the user to remind you to continue.
    • For every autopilot line, the main controller decides the next slice and spawns it.
  3. Keep the task board current

    • Update AGENT_TASK_BOARD.md before or when dispatching the next round.
    • Record: goal, current round, completed items, remaining items, next slice, follow-up roles.
  4. Keep subagent replies short

    • Prefer: goal / completed / files / status / next / risk.
    • Avoid long background restatements.
  5. Clean finished sessions, keep memory

    • Finished subagent sessions do not need to be kept.
    • Before forgetting them, write the durable record into memory/YYYY-MM-DD.md.
    • Include at least: task goal, changed files, result status, risk, next step.
    • Promote stable collaboration rules into MEMORY.md when needed.
  6. Do not keep unnecessary artifacts

    • Temporary screenshots, temp files, and intermediate outputs can be deleted when no longer needed.
    • If the user wants screenshot proof, prefer sending it directly instead of long-term local retention.

Role routing

Do not hard-code project-specific model rules into this skill.

Use the current session defaults unless the user or project rules override them. If a project has role-specific model preferences, keep them in project memory, task board rules, or project docs — not as universal orchestrator behavior.

Dispatch pattern

When an autopilot line is active:

  1. Read the current line from AGENT_TASK_BOARD.md
  2. Pick the next small closed slice
  3. Spawn the correct role
  4. Require short structured return
  5. On complet...

Source information

Source
github
Repository
openclaw/skills
Path
skills/hackjsw/subagent-orchestrator
Version
—
Commit
230580a8b12f773a9a5d69f5d26b2c66af5534c7
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

README

subagent-orchestrator

Version: 1.0.0

A lightweight orchestration skill for OpenClaw subagent workflows.

What it does

  • Treats autopilot as a continuous task line instead of a one-shot run
  • Requires structured subagent return headers: tag / line / goal_status / next_role
  • Helps the main controller decide whether to continue, hand off, wait, block, or finish
  • Encourages cleaning finished sessions while preserving durable memory records

Return protocol

Subagents should return these headers before the short report:

  • tag: autopilot | done | idle | blocked | handoff | need_user
  • line: task-line name
  • goal_status: partial | complete | waiting | blocked
  • next_role: free-form next owner/role label

Notes

  • This skill is intentionally generic.
  • Project-specific role defaults and collaboration rules should live in project memory or task boards, not in the skill itself.

Extracted content

SKILL.md
# subagent-orchestrator

Run continuous task lines through the main controller, not by accident.

## Core rules

1. **Treat `autopilot` as a continuous line**
   - Do not stop at “one run finished”.
   - A finished run means **handoff**, not “whole line done”.
   - Continue until one of: complete, blocked, paused by user.

2. **The main controller must directly re-dispatch**
   - Do not wait for the user to remind you to continue.
   - For every autopilot line, the main controller decides the next slice and spawns it.

3. **Keep the task board current**
   - Update `AGENT_TASK_BOARD.md` before or when dispatching the next round.
   - Record: goal, current round, completed items, remaining items, next slice, follow-up roles.

4. **Keep subagent replies short**
   - Prefer: goal / completed / files / status / next / risk.
   - Avoid long background restatements.

5. **Clean finished sessions, keep memory**
   - Finished subagent sessions do not need to be kept.
   - Before forgetting them, write the durable record into `memory/YYYY-MM-DD.md`.
   - Include at least: task goal, changed files, result status, risk, next step.
   - Promote stable collaboration rules into `MEMORY.md` when needed.

6. **Do not keep unnecessary artifacts**
   - Temporary screenshots, temp files, and intermediate outputs can be deleted when no longer needed.
   - If the user wants screenshot proof, prefer sending it directly instead of long-term local retention.

## Role routing

Do not hard-code project-specific model rules into this skill.

Use the current session defaults unless the user or project rules override them. If a project has role-specific model preferences, keep them in project memory, task board rules, or project docs — not as universal orchestrator behavior.

## Dispatch pattern

When an autopilot line is active:

1. Read the current line from `AGENT_TASK_BOARD.md`
2. Pick the next **small closed slice**
3. Spawn the correct role
4. Require short structured return
5. On complet...
README
# subagent-orchestrator

Version: 1.0.0

A lightweight orchestration skill for OpenClaw subagent workflows.

## What it does
- Treats `autopilot` as a continuous task line instead of a one-shot run
- Requires structured subagent return headers: `tag / line / goal_status / next_role`
- Helps the main controller decide whether to continue, hand off, wait, block, or finish
- Encourages cleaning finished sessions while preserving durable memory records

## Return protocol
Subagents should return these headers before the short report:
- `tag:` `autopilot | done | idle | blocked | handoff | need_user`
- `line:` task-line name
- `goal_status:` `partial | complete | waiting | blocked`
- `next_role:` free-form next owner/role label

## Notes
- This skill is intentionally generic.
- Project-specific role defaults and collaboration rules should live in project memory or task boards, not in the skill itself.

Related skills

OpenClaw

dojo.md

edholofy

University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...

OpenClaw

wps-macos-helper

lethehades

macOS WPS Office workflow helper skill for safer document preparation, conversion, export, and compatibility guidance