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    PRD Requirement Reality Auditor

    by Vladisav Jovanovic

    1

    The problem Engineering teams often inherit PRDs that look polished but still contain hidden assumptions, vague requirements, unresolved dependencies, and unmeasurable goals.

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    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

    Validate if a feature brief is truly ready for engineering implementation.Identify missing error states and recovery paths in user flows.Expose untested assumptions in product logic and user evidence.Map cross-functional dependencies before they become mid-sprint blockers.Evaluate if success metrics are actually measurable and meaningful.

    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.

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