Iterate your ideas with PM and DEV subagents
Implement a rigorous PM-Developer review loop with separated authority and automated quality gates.
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See it in action
You say
I need to implement a new JWT auth flow. Use a PM and a dev agent to ensure the spec is followed and all security tests pass before finishing.
Your agent does
Protocol initialized in .pmdev/jwt-auth-flow/. PM has generated SPEC.md with 5 acceptance criteria. Quality gate detected: npm test, npm run lint. Starting Round 01. Developer is implementing the auth provider while PM awaits the gate log for verification.
What you get
About this skill
The problem
Single-agent coding tasks often suffer from "self-review blindness" where the agent decides a task is done simply because it stopped typing. Developers frequently find themselves in a "ping-pong" loop with agents that claim success while ignoring acceptance criteria or moving the goalposts by editing the spec.
What it does
- Enforces a strict separation of authority by spawning two subagents: a PM to write the spec and a Developer to write the code.
- Implements a file-based protocol (SPEC.md, BUILD.md, REVIEW.md) that persists across agent crashes or restarts.
- Automates quality gates by detecting and running project-specific tests, linters, and build commands.
- Prevents infinite loops through built-in thrash detection and hard round budgets.
- Ensures the PM agent has no write access to source code, preventing it from reviewing its own fixes.
Why this beats prompting it yourself
Writing "please review your work" in a single prompt rarely works because the agent shares the same context and bias as its mistakes. This skill provides a structured framework with specialized roles, dedicated artifacts, and bash-backed verification that forces objective accountability. It replaces vague conversational feedback with a citation-based rubric that links every code change to a specific acceptance criterion.
Use cases
- Executing complex feature requests where self-correction typically fails.
- Managing long-running refactors that require strict adherence to a multi-point checklist.
- Automating internal PR reviews before a human ever touches the code.
- Ensuring legacy code changes pass a rigorous, multi-stage quality gate without manual oversight.
Known limitations
This skill requires a repository with executable tests or build signals to populate the quality gate. It consumes 3x to 5x more tokens than a single-agent execution, making it unsuitable for trivial fixes.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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