一站式多 AI 调度协同工具包。包含两个部分:
| 部分 | 用途 |
|---|---|
| loop-workflow-designer | 对话式技能,通过 grilling 访谈设计工作流规格 |
| loop-dispatch | Python 调度引擎,把任务分发给 Claude Code / Codex 自循环执行 |
| 场景 | 用什么 | 怎么触发 |
|---|---|---|
| 🎨 设计工作流:想把重复任务变成自动化流程 | loop-workflow-designer |
在 AI 对话中输入 /loop-workflow-designer "我需要..." |
| 🚀 执行任务:已经有规格,要派 AI 去干 | loop-dispatch |
① 对 AI 说"把XX任务dispatch给Claude Code"(AI 自动加载 SKILL.md),或 ② 直接在终端跑 python3 loop-dispatch/src/loop_dispatch.py dispatch "任务" claude |
| 📊 查任务状态 | loop-dispatch |
终端跑 python3 loop-dispatch/src/loop_dispatch.py list |
| 🔔 启动监控 | loop-dispatch |
终端跑 python3 loop-dispatch/src/loop_monitor.py start |
💡 简单记:先
/loop-workflow-designer设计 → 产出workflows/*.md→ 再用loop-dispatch执行。
Design multi-AI orchestration workflows by grilling you about your recurring tasks. Turn life's loops into automatable specs that any AI agent can execute.
| Skill | Required | Source |
|---|---|---|
grilling |
✅ Yes | matt-pocock-skills |
npx skills add mattpocock/grillingnpx skills add gg1356088/loop-workflow-designer/loop-workflow-designer "invoice processing"
/loop-workflow-designer
- Trigger — event (new email, new issue) or schedule (every morning)
- Checkpoint — human-in-the-loop verification point; push as far right as possible
- Push right — do maximal AI work before involving the human
- Brief — decision-ready summary at each checkpoint, never raw output
把自然语言任务转成
/goal指令,下发给 Claude Code 或 Codex 自主执行,无需主 AI 盯着。
| 层级 | 组件 | 职责 |
|---|---|---|
| 协调层 | loop_dispatch.py |
分配谁干什么、验收结果、汇报状态 |
| 执行层 | loop_dispatch.py |
把自然语言任务转成 /goal 指令,下发给 AI 自循环 |
| 通知层 | loop_monitor.py |
检查任务状态,完成后推送到飞书 |
# 1. 设置环境变量
export HERMES_SKILLS_WORKSPACE=~/your-workspace
# 2. 下发任务给 Claude Code(/goal 模式,自循环直到完成)
python3 loop-dispatch/src/loop_dispatch.py dispatch "处理发票并写入结果" claude
# 3. 下发任务给 Codex
python3 loop-dispatch/src/loop_dispatch.py dispatch "检查测试状态" codex
# 4. 查看所有任务
python3 loop-dispatch/src/loop_dispatch.py list
# 5. 启动持续监控 + 飞书通知
python3 loop-dispatch/src/loop_monitor.py start- Python 3.8+
- Claude Code 或 Codex CLI(已在 PATH 中)
- 飞书通知可选(需配置
FEISHU_CHAT_ID)
python3 loop-dispatch/tests/test_smoke.py
# 24/24 通过(v3.0.0)详细文档见 loop-dispatch/。
MIT