菜单
Distributed agent swarm orchestrator — spawns parallel subagent clusters for any task with configurable depth, swarm size, and convergence criteria
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
ProductionOS — dual-target AI engineering operating system for repo-wide audits, upgrade plans, code reviews, strategic product reviews, security sweeps, UX audits, and recursive quality improvement.
ProductionOS — dual-target AI engineering operating system for repo-wide audits, upgrade plans, code reviews, strategic product reviews, security sweeps, UX audits, and recursive quality improvement.
Ads composite — audit campaigns, create ad copy, optimize bids, and report performance with persistent campaign memory. Replaces 20 fragmented ads skills.
Build composite — brainstorm, plan, implement, and test with project memory. Replaces 6 fragmented build skills.
Content composite — strategy, writing, audit, and refresh with brand voice memory. Replaces 10 fragmented content skills.
Debug composite — reproduce, hypothesize, test, fix with bug pattern memory. Replaces 4 debug skills.
| name | auto-swarm |
| description | Distributed agent swarm orchestrator — spawns parallel subagent clusters for any task with configurable depth, swarm size, and convergence criteria |
| argument-hint | [task, mode, or depth] |
Use this as the Codex-first swarm workflow. In Codex it should preserve the decomposition and convergence ideas from ProductionOS while defaulting to practical execution: decompose clearly, parallelize only when the user wants it, and keep a visible coverage map.
Source references:
.claude/commands/auto-swarm.mdagents/swarm-orchestrator.mdagents/worktree-orchestrator.mdtaskmodedepthswarm_sizeiterations