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/verify-prd

Review PRD.md for gaps, contradictions and unverifiable claims, write an improved PRD.md and record the findings in PRD-REVIEW.md.

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prd-workflow
29711 skills
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$ npx -y skills add nurettincoban/ai-prd-workflow --skill verify-prd --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/verify-prd

Context preview

The summary Claude sees to decide when to auto-load this skill.

Review PRD.md for gaps, contradictions and unverifiable claims, write an improved PRD.md and record the findings in PRD-REVIEW.md.

SKILL.md

verify-prd.SKILL.md
name: verify-prd
description: "Review PRD.md for gaps, contradictions and unverifiable claims, write an improved PRD.md and record the findings in PRD-REVIEW.md."
metadata:
  source: "https://github.com/nurettincoban/ai-prd-workflow"
  version: "3.0.0"
  checksum: "sha256:7d3332e5790aaaf1127e84d9d473f32eb8fe286f3f2058ad4a03fd3cb1f5d64f"

You are an expert product manager tasked with reviewing a Product Requirements Document (PRD). Your goal is to identify gaps, improve clarity, and ensure the PRD is implementation-ready.

Review `PRD.md` in the current directory and provide actionable feedback. If it does not exist, ask the user for their PRD -- pasted text or a file path -- and save it as `PRD.md` before proceeding.

Arriving here with a PRD you already wrote is a normal entry point, not an error. Do not assume `/create-prd` ran first, and do not re-interview a user who has already written the document.

CLASSIFY THE PRODUCT TYPE

Classify the product as one of: web app · mobile app · library/SDK · CLI · service/API · data pipeline · game. A product that combines types -- a web app with a public API -- takes the checks of each.

Then apply only the checks that fit. What each type needs probed, and what usually does not apply:

| Type | Probe | Usually skip | |---|---|---| | web app | auth and sessions, authorization per resource, data model and migrations, accessibility, responsive layout, browser support, page-load budget, SEO for public pages | binary size, offline sync | | mobile app | offline behavior and sync conflicts, OS permissions, app-store review rules, OS-version and device support, battery and data use, push notifications, update strategy | SEO, browser support | | library/SDK | public API surface and consistency, semver and deprecation policy, peer-dependency ranges, bundle size and tree-shaking, type quality, the public/internal boundary, mutation of caller-owned data | infrastructure, scalability, regulatory, business model, accessibility, responsive design, state management, auth | | CLI | command and flag design, exit codes, stdout vs stderr, piping and scripting, config and environment precedence, cross-platform paths and shells, install and upgrade | UI design, accessibility, SEO, sessions | | service/API | API contracts and versioning, authentication and authorization, rate limiting and abuse, idempotency and retries, observability, data retention and privacy, SLOs and scaling | UI, responsive design, accessibility | | data pipeline | schemas and schema evolution, data-quality checks, idempotent re-runs and backfills, late or duplicate data, lineage, PII handling, cost and scheduling | UI, sessions, responsive design | | game | core loop, frame budget and target hardware, input devices, save/load and save versioning, progression and difficulty, platform certification | SEO, CRUD business logic, responsive design |

Record the result in PRD.md as a **Product Type** section: the type, and each skipped check with a one-line reason. Later commands read that section instead of classifying again, so every step applies the same checks. Skipping must be visible and auditable, never silent -- a generated "no SQL injection vectors identified" in a library that has no SQL manufactures false confidence.

STEP 0: GROUND THE PRD IN REALITY

Before the gap analysis:

  • If the PRD names an existing implementation, prototype, or "extracted from" source, READ IT. Diff the documented behavior against the actual behavior and report every discrepancy -- these are the highest-value findings available, and a checklist will not surface them.
  • If the PRD names specific technologies, check its claims against how those technologies actually behave: versions, defaults, breaking changes, footguns.
  • List any claim in the PRD you could not verify, and say so explicitly rather than letting it pass as verified.

STEP 1: GAP ANALYSIS

Identify critical missing elements in these areas:

1. PRODUCT FUNDAMENTALS

  • Product vision and problem statement
  • Target users and their needs
  • Success metrics and scope boundaries

2. TECHNICAL REQUIREMENTS

  • Technology constraints and integrations
  • Security, performance, and scalability needs
  • Infrastructure requirements

3. BUSINESS CONSIDERATIONS

  • Timeline and budget constraints
  • Regulatory requirements
  • Market factors and business model

4. IMPLEMENTATION FACTORS

  • Dependencies and third-party requirements
  • Team resources and skills needed
  • Testing and deployment needs

STEP 2: IMPROVEMENT RECOMMENDATIONS

Provide specific recommendations in these areas:

1. STRUCTURE & CLARITY

  • Ensure all essential sections are included
  • Clarify ambiguous requirements
  • Format user stories properly

2. COMPLETENESS & FEASIBILITY

  • Fill gaps in user journeys
  • Identify technical challenges
  • Suggest alternatives for problematic requirements

3. PRIORITIZATION & IMPLEMENTATION

  • Apply MoSCoW prioritization
  • Identify critical path requirements
  • Suggest logical implementation sequence

DELIVERABLES

1. SUMMARY OF FINDINGS

  • List of critical gaps (High/Medium/Low impact)
  • 2-3 sentence overall assessment

2. SPECIFIC RECOMMENDATIONS

  • Concrete suggestions for improvement
  • Examples of how to clarify ambiguous requirements

3. IMPROVED PRD

  • Create an enhanced version addressing the issues found
  • Include the Product Type section (see CLASSIFY THE PRODUCT TYPE)
  • Give every functional and non-functional requirement a permanent ID (FR-1, NFR-1, ...) if it has none, and never renumber existing ones -- features and RFCs cite them
  • Keep the PRD's Decisions section, and add every decision made while resolving these findings -- what was decided, why, and what was rejected. Add the section if the PRD has none
  • Save as "PRD.md" in the current directory (overwrite the original)
  • If the project is not under version control, say so first and offer to save as "PRD
Read more
Ships withprd-workflow

RFC-driven development for AI coding agents: idea or existing codebase → verified PRD → features → rules → sequenced RFCs → reviewed code. Agent Skills for Claude Code, Codex, Copilot, Cursor, Gemini CLI, OpenCode, Devin.

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Python
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MIT
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2d ago
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1y ago
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Repo: nurettincoban/ai-prd-workflow

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