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.

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SKILL.md


name: productionos description: "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." argument-hint: "[goal, command name, or repo path]"

ProductionOS

ProductionOS is a dual-target AI engineering operating system with 80 agents, 41 commands, and 18 hooks.

Use this skill to translate the Claude-oriented workflow specs in this repo into Codex-native execution.

Start Here

  1. Read README.md for the product overview and CLAUDE.md for the current command catalog.
  2. Treat .claude/commands/*.md as workflow specs, not literal Codex slash commands.
  3. Use docs/CODEX-PARITY-HANDOFF.md as the source of truth for target support and parity coverage.
  4. Load only the agent files in agents/ that matter for the chosen workflow.
  5. Use templates/ and prompts/ only when the selected command or agent points to them.

Codex Workflow Mapping

  • production-upgrade — Run a repo audit, prioritize high-leverage defects, implement bounded fixes, then validate before reporting.
  • review — Use Codex in review mode and report concrete findings before summaries.
  • plan-ceo-review — Challenge scope, tighten user value, and surface expansion opportunities explicitly.
  • plan-eng-review — Lock architecture, trust boundaries, error paths, and test coverage before implementation.
  • security-audit — Inspect auth, secrets, input handling, and deployment risk with findings-first output.
  • designer-upgrade — Build a UX audit and redesign plan, then route into interface work when needed.
  • ux-genie — Map user flows, identify friction, and translate findings into concrete improvements.
  • auto-swarm — Run the workflow serially by default in Codex, or delegate only when the user explicitly wants parallel work.
  • auto-swarm-nth — Repeat swarm-style execution until gaps close, while translating agent waves into Codex-native orchestration.
  • omni-plan — Chain the major review and execution patterns in a Codex-native sequence without Claude-only assumptions.
  • omni-plan-nth — Iterate the full orchestration loop until quality targets are met or clearly plateau.

Guardrails

  • Do not claim Claude-only hooks, slash commands, or marketplace flows can run directly in Codex.
  • Keep work scoped; do not emulate large multi-agent swarms unless the user explicitly wants that overhead.
  • Respect the repo's guardrails in hooks/, .claude-plugin/, .codex-plugin/, and templates/.
  • For packaging or install questions, inspect .claude-plugin/plugin.json, .claude-plugin/marketplace.json, .codex-plugin/plugin.json, package.json, and README.md.

Output Expectations

  • Explain which ProductionOS workflow you are mapping.
  • Use Codex-native tools for implementation, review, planning, or validation.
  • Verify with the smallest relevant tests or checks before concluding.
  • Summarize what changed, what was verified, and what still needs human approval.