Works with the AI tools you already use
PRD Requirement Reality Auditor
The problem Engineering teams often inherit PRDs that look polished but still contain hidden assumptions, vague requirements, unresolved dependencies, and unmeasurable goals.
Secure checkout via Stripe
See it in action
You say
Audit this PRD for the new 'Express Checkout' feature. We need to know if it's ready for the next sprint and where the edge cases are missing. [Paste PRD text here]
Your agent does
Verdict: REVISE BEFORE BUILD. P0 Blockers: No failure behavior defined for third-party payment timeouts. P1 Gaps: 'Fast' checkout is not operationalized; missing millisecond threshold. Hidden Assumptions: Assumes 100% user opt-in for data persistence without a defined permission flow.
What you get
About this skill
The problem
Engineering teams often inherit PRDs that look polished but still contain hidden assumptions, vague requirements, unresolved dependencies, and unmeasurable goals. These gaps can lead to mid-sprint scope creep, rework, blocked implementation, and features that ship without clear success criteria.
What it does
- Flags vague terminology like "intuitive," "fast," or "scalable" until it is translated into observable requirements.
- Maps dependencies across APIs, databases, permissions, vendors, analytics, infrastructure, and external teams.
- Pressure-tests meaningful edge cases including partial success, timeouts, retries, permission failures, concurrent actions, and recovery.
- Classifies evidence behind user problems as Observed, Reported, Inferred, Assumed, or Not Provided.
- Audits acceptance criteria so important requirements are observable and testable.
- Identifies missing product decisions, hidden operational burden, proxy-metric risks, and unclear ownership.
Why this beats prompting it yourself
Generic PRD reviews often smooth over missing details by inventing plausible answers or returning broad feedback like "add more clarity." This skill follows a structured 17-step audit sequence that keeps missing decisions visible instead of silently filling them in.
Use cases
- Reviewing a feature spec before engineering grooming or sprint planning.
- Finding requirements engineering would otherwise have to guess.
- Identifying hidden operational burden for QA, support, security, or operations.
- Checking success metrics for missing baselines, weak proxies, and unclear decision thresholds.
- Determining whether a PRD is Ready to Build, needs revision, or is blocked by missing decisions or evidence.
Known limitations
This skill does not perform technical feasibility studies, security or compliance certification, engineering estimation, or user research. It works best when provided with an existing PRD, feature brief, user story, acceptance criteria, or related product documentation.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
Reviews
No reviews yet
Be one of the first to try it. Every listed skill passes our trust checks below.
Security scanned
Passed our 8-point scan before listing
Fresh listing
Recently published to Agensi
30-day refund
Not a fit? Get your money back
Trust & safety
Security scanned
Verified clean today
- 30-day refund guarantee
- One-time purchase, yours forever
- Secure checkout via Stripe
Frequently Asked Questions
Popular in Business & Operations
research-to-decision-pro-skill
Turn messy research into rigorous, evidence-backed decision memos with specialized modes for technical and business leads.

Business Strategist
A framework-driven consultant for business diagnosis, market mapping, and pricing strategy.

Board of Legendary Advisors
Consult a board of 8 legendary business builders to frame, debate, and solve your toughest strategic decisions.

founder-stage-gate-operator
A rigorous stage-gate framework to validate ideas, limit MVP scope, and ensure audit-ready startup growth.