openmax

name	openmax
description	When a task can be parallelized (bulk code review, multi-module refactor, batch analysis) → split into subtasks running in isolated git worktrees via multiple workers.
triggers	{"intent_patterns":["openmax|parallel review|并行|多worker|多任务|code review|批量","同时.*处理|handle.*simultaneously|一起.*跑|run.*parallel","批量.*审查|bulk.*review|全部.*模块|all.*modules","拆分.*任务|split.*task|分.*子任务|break.*subtasks","多个.*文件.*同时|multiple.*files.*parallel|加速.*review","worktree|隔离.*执行|isolated.*execution"],"context_signals":{"keywords":["openmax","parallel","review","并行","worktree","批量","同时","拆分","隔离","bulk","concurrent"]},"confidence_threshold":0.7}
priority	9
requires_tools	["bash"]
max_tokens	300
cooldown	30
capabilities	["code_edit","code_review","research","analysis","parallel"]
activation_mode	explicit
output	{"format":"markdown","artifacts":true,"artifact_type":"document"}

openMax — 多 Worker 并行编排

在隔离 git worktree 中启动 N 个 CC worker，并行执行任务，汇总 .openmax/reports/ 下的产出。

快速前置

• 需要 claude CLI 在 PATH 中
• 工作目录必须是 git 仓库根目录
• briefs 存放于 .openmax/briefs/<task>.md

命令

# 1) 基于已有 briefs 并行启动所有 worker
python3 skills/openmax/run.py dispatch --tasks "research-codebase,review-perf,review-arch"

# 2) 指定 goal，自动生成 briefs 并启动
python3 skills/openmax/run.py dispatch --tasks "review-lark,review-eval" --goal "Review the elephant.ai codebase"

# 3) 查看 worker 状态（检查进程 + 报告）
python3 skills/openmax/run.py status

# 4) 汇总已完成的报告
python3 skills/openmax/run.py collect

参数说明

参数	说明
--tasks	逗号分隔的任务名列表（对应 .openmax/briefs/<name>.md）
--goal	可选：补充到每个 brief 的总目标说明
--brief-dir	brief 所在目录，默认 .openmax/briefs
--report-dir	报告输出目录，默认 .openmax/reports
--worktree-base	worktree 根目录，默认 .openmax-worktrees
--dry-run	只输出计划，不执行

工作流

1. 读取 .openmax/briefs/<task>.md
2. 创建 worktree：git worktree add -b openmax/<task> .openmax-worktrees/openmax_<task> main
3. 注入任务上下文到 CLAUDE.md
4. 后台启动：claude --dangerously-skip-permissions --print <brief>
5. 所有 worker 完成后，collect 汇总 .openmax/reports/*.md