Iterate your ideas with PM and DEV subagents

    2

    Implement a rigorous PM-Developer review loop with separated authority and automated quality gates.

    Free

    2 installsSecurity scanned

    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    Iterate your ideas with PM and DEV subagents

    Example session with this skill installed

    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.

    • Read your context and instructions
    • Compiled the iterate your ideas

    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.

    PM has generated SPEC.md

    Connects securely to your tools. The creator never sees your data.

    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

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

      Free skills download straight away. Paid skills unlock right after purchase.

    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

    Skills folder by agent

    Click the path to copy it. Create the folder if it does not exist yet.

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    2 installs

    Downloaded by developers to date

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    Trust & safety

    Security scanned

    Verified clean 1 month ago

    • Free to download with an account

    Listed1 month ago
    Updated1 month ago

    What's inside

    Frequently Asked Questions