prd-stress-test

Evaluates PRD readiness by consolidating market-fit, feasibility, and scope assessments into a verdict with revision checklist.

1|Updated May 16, 2026
One-click install
npx skills add https://github.com/enigmaicon-eng/AI-Enterprise-OS --skill prd-stress-test
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prd-stress-test
Source: https://github.com/enigmaicon-eng/AI-Enterprise-OS/tree/main/agents/plugins/agent-teams/skills/prd-stress-test
Command: npx skills add https://github.com/enigmaicon-eng/AI-Enterprise-OS --skill prd-stress-test

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It determines whether a PRD is actually ready to build by running a structured, multi-perspective review that surfaces gaps, ambiguities, and risky scope early.

Core Features & Use Cases

  • Market-fit review: Assesses target users, problem validation, value proposition, and differentiation to prevent building the wrong thing.
  • Feasibility review: Checks requirements clarity, acceptance criteria, technical feasibility, edge cases, and integration points to prevent building an unbuildable spec.
  • Scope review: Sizes V1 using MVP principles, flags scope creep, and labels features as MUST-HAVE, CUT FROM V1, or DEFER TO V2 to prevent over-scoping.
  • Cross-reference conflict detection: Compares reviewer outputs to catch contradictions (e.g., critical differentiation accidentally cut, or “must-have” features lacking clarity).

Quick Start

Use the prd-stress-test skill to review a PRD by telling it: run /agent-teams:prd-stress-test path/to/prd.md.

Frequently Asked Questions about prd-stress-test

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I stress-test a PRD to ensure it is build-ready?

Stress-testing a PRD involves running parallel market-fit, feasibility, and scope assessments to surface gaps and risky requirements early. The multi-agent review consolidates these perspectives to ensure your product plan is actually ready for implementation.

What is the best way to validate MVP scope and prevent scope creep in requirements?

Validating MVP scope requires sizing V1 using MVP principles to flag scope creep and label features as MUST-HAVE, CUT FROM V1, or DEFER TO V2. This structured review prevents over-scoping by evaluating your requirements against strict build boundaries.

How do I check technical feasibility and requirements clarity before building an MVP?

Checking technical feasibility involves reviewing requirements clarity, acceptance criteria, edge cases, and integration points within your PRD. This process prevents building an unbuildable spec by identifying ambiguous technical requirements early in product planning.

Why does my product requirements document need cross-reference conflict detection?

Cross-reference conflict detection compares reviewer outputs to catch contradictions in your PRD, such as critical differentiation features being accidentally cut or must-have features lacking clarity. This step ensures the final requirements document is internally consistent before implementation.

Can I use a single markdown document for PRD requirements validation?

Yes, you can use a single markdown document for PRD requirements validation by providing the file path to the review system. The multi-agent review reads the markdown path, spawns three reviewers, and produces a verdict with a revision checklist based on that document.

When should I not use multi-agent review for product planning?

Multi-agent review for product planning is not suitable when you lack a finalized PRD markdown document or need a rapid, informal review. The process requires a complete PRD path to properly assess market fit, technical feasibility, and MVP scope across multiple dimensions.