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Agent pm eng loop

Skill Amey-Thakur/AI-SKILLS/skills/multi-agent-teams/agent-pm-eng-loop

Pair a product-manager agent with engineer agents through spec, pushback, scope negotiation, and acceptance so the build matches intent. Use when an agent team must turn a fuzzy request into a shipped, accepted increment.From its SKILL.md

Install
npx -y skills add Amey-Thakur/AI-SKILLS --skill agent-pm-eng-loop

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SKILL.md

3.4 KB, 769 tokens by cl100k_base, as published. Nobody here has run it

PM and engineering loop

An engineer agent handed a vague request builds the literal words and calls it done. A PM agent handed a backlog writes wishes no one can build. The value is in the friction between them: the PM states the problem and the acceptance bar, the engineers push back on cost, and scope gets negotiated in the open before a line is written. Without the loop, the mismatch surfaces in review three weeks late.

Team

  • PM agent (product-manager-role): owns the problem, the metric, the acceptance criteria.
  • Engineer agents (backend-engineer-role, frontend-engineer-role): build, and push back on cost.
  • Acceptance agent (qa-engineer-role): checks the build against criteria, no self-grading.

Shape: a negotiation loop, then build, then an acceptance gate.

Method

  1. PM writes the spec first. spec.md states the problem, one success metric and its guardrail, non-goals, and acceptance criteria as checkable statements ("a signed-out user hitting /app lands on login in under 300ms"). A criterion you cannot check is a wish.
  2. Engineers return a pushback memo. Before building, they flag the expensive 20 percent, name feasibility risks, and propose a cheaper path. An agent that silently complies hides the tradeoff instead of surfacing it.
  3. Negotiate scope in the open. The PM cuts to a real v1 and records deferred items with reasons in a "later" list. Deferral is a decision on the record, not a dropped ball.
  4. Freeze the criteria. Lock the acceptance list before code; later changes go to a dated change log in spec.md, so "done" does not move while the work is in flight.
  5. Engineers build and demo against the list. The handoff is a working increment plus a demo note mapping each criterion to how it is met.
  6. Acceptance agent runs the gate. Pass or fail per criterion in acceptance.md, executed by an agent that did not write the code. Failures loop back to the engineers, not the PM.
  7. PM signs off on outcome, not effort. Accept only when criteria pass and the increment plausibly moves the named metric; record the call.

Run it

In Claude Code, run the PM and each engineer as subagents sharing spec.md; the orchestrator sequences write, pushback, negotiate, build, then spawns a fresh acceptance subagent so the grader is not the builder, looping on failures. Port it to CrewAI as a sequential process with a re-run on failed acceptance, to AutoGen as a two-agent chat plus a critic, or to LangGraph as a graph with a conditional edge from acceptance back to the build node.

Signals it works

  • The pushback memo changes the spec at least sometimes; pure compliance means the PM is unchallenged.
  • Acceptance is run by a different agent than the one that built the feature.
  • Deferred scope lives in a written "later" list, not in someone's memory.

Boundaries

This owns the loop from request to accepted increment, not architecture, which staff-engineer weighs in on, nor the roadmap above it. The success metric and guardrail come from real product context you supply; agents cannot invent them. A human approves anything that ships to users or spends real budget.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

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