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
Chalk Labs
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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
Use cases: productivity, agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
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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Signals
- Stars
- 8
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- Apr 14, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/ShaheerKhawaja/ProductionOS
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from ShaheerKhawaja
- 0.469score
productionos
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ProductionOS — dual-target AI engineering operating system for repo-wide audits, upgrade plans, code reviews, strategic product reviews, security sweeps, UX…
SkillDFreshness: D★ 8Claude Code +9 - 0.469score
continuous-learning
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ProductionOS instinct-based learning system.
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frontend-audit
ShaheerKhawaja
ProductionOS frontend quality scanner.
SkillDFreshness: D★ 8Claude Code +9 - 0.469score
security-scan
ShaheerKhawaja
ProductionOS security scanner.
SkillDFreshness: D★ 8Claude Code +9 - 0.469score
productionos-agentic-eval
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Niche-agnostic agentic evaluator using CLEAR v2.0 framework — 6-domain assessment, 8 analysis dimensions, 6-tier source prioritization, evidence strength…
SkillDFreshness: D★ 8Claude Code +9 - 0.469score
productionos-auto-mode
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Idea-to-running-code lifecycle orchestration.
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Cite this page
productionos-auto-swarm skill. Agent Mart. https://agentmart.dev/skills/shaheerkhawaja-productionos-auto-swarm (last updated 2026-10-24)