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productionos-auto-swarm

Distributed agent swarm orchestrator — spawns parallel subagent clusters for any task with configurable depth, swarm size, and convergence criteria

Skill by ShaheerKhawaja

IndexedMIT★ 8
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/shaheerkhawaja-productionos-auto-swarm

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Distributed agent swarm orchestrator — spawns parallel subagent clusters for any task with configurable depth, swarm size, and convergence criteria

Use cases: productivity, agent-building

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Secrets
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Install scripts
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/productionos-auto-swarm

What's inside

Skill name
productionos-auto-swarm
Description
Distributed agent swarm orchestrator — spawns parallel subagent clusters for any task with configurable depth, swarm size, and convergence criteria
License
MIT
Instructions
47 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# 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.md`
- `agents/swarm-orchestrator.md`
- `agents/worktree-orchestrator.md`

## Inputs

- required `task`
- optional `mode`
- optional `depth`
- optional `swarm_size`
- optional `iterations`

## Codex Workflow

1. Analyze the task and choose the mode.
2. Decompose the work into independent slices.
3. Build a coverage map before execution starts.
4. Execute serially by default in Codex unless the user explicitly wants sub-agents or parallel work.
5. After each wave, synthesize:
   - what was covered
   - what remains
   - whether another wave is justified
6. 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

From ShaheerKhawaja/ProductionOS, MIT.

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Stars
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Forks
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Last commit (this folder)
Apr 14, 2026 (6 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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productionos-auto-swarm skill. Agent Mart. https://agentmart.dev/skills/shaheerkhawaja-productionos-auto-swarm (last updated 2026-10-24)