verify-prd
SkillDev toolsLets your agent review a product requirements document, fix gaps and contradictions, and save an improved version.
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
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Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the verify-prd skill
About this skill
Review PRD.md for gaps, contradictions and unverifiable claims, write an improved PRD.md and record the findings in PRD-REVIEW.md.
What this skill tells your AI
The instructions your AI receives, as published by nurettincoban/ai-prd-workflow in skills/verify-prd/SKILL.md and read by ahel’s review.
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:
-
PRODUCT FUNDAMENTALS
- Product vision and problem statement
- Target users and their needs
- Success metrics and scope boundaries
-
TECHNICAL REQUIREMENTS
- Technology constraints and integrations
- Security, performance, and scalability needs
- Infrastructure requirements
-
BUSINESS CONSIDERATIONS
- Timeline and budget constraints
- Regulatory requirements
- Market factors and business model
-
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:
-
STRUCTURE & CLARITY
- Ensure all essential sections are included
- Clarify ambiguous requirements
- Format user stories properly
-
COMPLETENESS & FEASIBILITY
- Fill gaps in user journeys
- Identify technical challenges
- Suggest alternatives for problematic requirements
-
PRIORITIZATION & IMPLEMENTATION
- Apply MoSCoW prioritization
- Identify critical path requirements
- Suggest logical implementation sequence
DELIVERABLES
-
SUMMARY OF FINDINGS
- List of critical gaps (High/Medium/Low impact)
- 2-3 sentence overall assessment
-
SPECIFIC RECOMMENDATIONS
- Concrete suggestions for improvement
- Examples of how to clarify ambiguous requirements
-
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.v2.md" instead -- overwriting a hand-written PRD with no way to recover it destroys the diff the user needs in order to review what you changed
-
QUALITY ASSESSMENT
- Score the PRD (1-10) on: Completeness, Clarity, Feasibility, and User-Focus
-
PRD-REVIEW.md
- Write deliverables 1, 2 and 4 to "PRD-REVIEW.md" alongside the improved PRD: the gap list, the recommendations, the scores, and why each change was made
- Findings that live only in this conversation are gone the moment it ends. The next reader then sees a decision in PRD.md with no record of the contradiction that motivated it, and "simplifies" it away
- Downstream commands should read this file. Every High-impact finding must stay traceable into FEATURES.md and the RFCs
SELF-CHECK BEFORE FINISHING
- Recount every summary table from the actual content. Never carry a count forward from earlier in your own output.
- Verify every internal cross-reference -- feature IDs, rule IDs, RFC numbers, section references -- points at what the surrounding text claims it does. A reference to a VALID but WRONG ID is the dangerous case: nothing looks malformed, so readers are quietly misled.
- Confirm no two tables in the document disagree with each other.
- If
trace-check.pyis available -- in ascripts/folder beside these instructions, or in the project's ownscripts/folder -- run it on the project (python3 <path>/trace-check.py .) and fix every FAIL it reports. It checks IDs, coverage and dependencies mechanically, which reading cannot do reliably. - State that you ran this check and what it turned up.
Signals
- GitHub stars
- 296
- Forks
- 33
- Last commit
- Oct 2026
ahel review
K6info
bundled executables the agent is told to run
Automated review, not a security audit. Ruleset v1+k2.
Advanced
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- skill
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verify-prd- Source
- github.com/nurettincoban/ai-prd-workflow
github.com/nurettincoban/ai-prd-workflow