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    Problem Definition Engine

    by Al1as

    A diagnostic engine that deconstructs messy situations into precise, solvable problem definitions.

    Updated Jun 2026
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    $9

    · or 45 credits

    30-day refund guarantee

    Secure checkout via Stripe

    Included in download

    • Expose hidden assumptions in project post-mortems
    • Decompose vague corporate complaints into actionable structural issues
    • Ready for Cursor
    • Instant install

    Sample input

    Our engineering team keeps missing deadlines. We tried implementing a new PM tool and daily standups, but it's not helping and the devs seem even more frustrated now.

    Sample output

    PROBLEM TYPE MAP

    1. Decision-Rights (Primary): Devs are blocked by pending approvals, not lack of tracking.
    2. Expectation-Design (Secondary): Deadlines are set by sales without technical vetting.

    FIRST SOLVABLE UNIT

    Audit the last 3 missed deadlines to find the exact point of work-stoppage.

    Screenshots

    About This Skill

    What it does

    The Problem Definition Engine is a diagnostic framework designed to prevent the single biggest cause of organizational waste: solving the wrong problem. It functions as a pre-solution architectural layer that strips away symptomatic noise, audits hidden assumptions, and decomposes "blob" problems into actionable structures.

    Why use this skill

    Most AI prompts jump straight to brainstorming solutions for surface-level distress signals like "low conversion" or "team misalignment." This skill pushes back, refusing to solve until the problem is rigorously defined. It identifies whether you are facing a clarity issue, an incentive misalignment, or a structural bottleneck, ensuring you don't apply process fixes to people problems (or vice versa).

    Supported Outputs

    Unlike standard chat responses, this engine provides a structured architectural map of your situation, including:

    • Symptom Stripping: Separating surface pain from root causes.
    • Assumption Audit: Identifying the "false centers" warping your diagnosis.
    • Problem Stack: Breaking the issue into independent, manageable layers.
    • Refined Problem Statements: Iterative versions of the problem that are increasingly precise and decision-useful.
    • First Solvable Unit: Determining exactly where the first dollar or hour of effort should be spent.

    Use Cases

    • Expose hidden assumptions in project post-mortems
    • Decompose vague corporate complaints into actionable structural issues
    • Identify the "first solvable unit" in complex, multi-stakeholder bottlenecks
    • Detect false problems before investing in expensive new software or hires

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    Compatible with SKILL.md-compatible agents including Claude Code, Cursor, and Aider.

    Creator

    I create premium niche AI agent skills and prompts on PromptBase, where I’ve been actively building since 2022, focused on high-value systems that turn complex workflows into clear, practical, and reusable outputs.

    Frequently Asked Questions

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