dojo.md
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...
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.
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-orchestratorInspect 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.
Run continuous task lines through the main controller, not by accident.
Treat autopilot as a continuous line
The main controller must directly re-dispatch
Keep the task board current
AGENT_TASK_BOARD.md before or when dispatching the next round.Keep subagent replies short
Clean finished sessions, keep memory
memory/YYYY-MM-DD.md.MEMORY.md when needed.Do not keep unnecessary artifacts
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.
When an autopilot line is active:
AGENT_TASK_BOARD.md
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
Version: 1.0.0
A lightweight orchestration skill for OpenClaw subagent workflows.
autopilot as a continuous task line instead of a one-shot runtag / line / goal_status / next_role
Subagents should return these headers before the short report:
tag: autopilot | done | idle | blocked | handoff | need_user
line: task-line namegoal_status: partial | complete | waiting | blocked
next_role: free-form next owner/role label# 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...
# 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.
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...
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A股分析技能
A2A4B2B Skill for OpenClaw