ShaheerKhawaja/productionos-auto-swarm
codex-skills/productionos-auto-swarm/SKILL.md
Distributed agent swarm orchestrator — spawns parallel subagent clusters for any task with configurable depth, swarm size, and convergence criteria
$ install --global
skillsauthnpx skillsauth add ShaheerKhawaja/ProductionOS productionos-auto-swarmInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Last scanned: Apr 23, 2026, 2:09 AM37.5s1 file scanned
SKILL.md
- name:
- productionos-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]
productionos-auto-swarm
Use this alias when you want the same workflow through a top-level Codex-safe name without the productionos: namespace.
Overview
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.md
Inputs
- required
task - optional
mode - optional
depth - optional
swarm_size - optional
iterations
Codex Workflow
- Analyze the task and choose the mode.
- Decompose the work into independent slices.
- Build a coverage map before execution starts.
- Execute serially by default in Codex unless the user explicitly wants sub-agents or parallel work.
- After each wave, synthesize:
- what was covered
- what remains
- whether another wave is justified
- Stop when coverage is sufficient or returns diminish.
Expected Output
- task decomposition
- coverage map
- per-wave synthesis
- final compiled result
Guardrails
- do not parallelize by reflex
- keep subtask boundaries explicit
- stop when additional waves are not producing meaningful coverage gains
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