Works with the AI tools you already use

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    Digital Product Verdict

    1

    A rigorous validation engine that stress-tests digital product ideas using evidence-based commercial scoring.

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    Digital Product Verdict

    Digital Product Verdict

    Example session with this skill installed

    Use Brutal Mode to validate this idea: a printable weekly planner for busy women. I have not conducted customer research or tested willingness to pay.

    • Read your context and instructions
    • Compiled the digital product verdict

    Concept Score: 47/100 — WEAK

    Evidence Confidence: LOW

    Strongest Evidence: The concept addresses a recognizable recurring need: weekly organization.

    Evidence Gap: No evidence from a specific target customer demonstrates willingness to choose or pay for this product.

    Substitution Risk: HIGH

    Differentiation: GENERIC

    VERDICT: MODIFY

    The underlying need is credible, but “busy women” is too broad and the product has no compelling advantage over free printables, notebooks, calendar apps, Canva templates, or AI-generated planners.

    NEXT DECISION: NARROW AUDIENCE

    Identify a specific buyer and planning problem before building the full product.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Identify specific reasons why a product concept might fail in the market.Define the core features for a Minimum Viable Product (MVP).Compare product ideas against free substitutes and existing competitors.Assess the commercial potential of templates, ebooks, and AI workflows. Identify why a digital product concept might fail. Define the core features of a Minimum Viable Product (MVP). Compare product ideas with free substitutes and known competitors.

    About this skill

    The problem

    Digital product creators often invest significant time in ideas based mainly on intuition, only to discover weak buyer interest after launch. Many AI tools encourage promising-sounding concepts without adequately challenging buyer motivation, differentiation, substitution risk, or the available evidence.

    What it does

    • Evaluates digital product concepts using a 100-point Commercial Structure Score.
    • Separates Concept Strength from Evidence Confidence to prevent false certainty.
    • identifies competing substitutes such as free resources, AI tools, spreadsheets, templates, and manual workflows.
    • Detects friction that could cause customers to purchase a product but never use it.
    • Produces a clear BUILD, VALIDATE, MODIFY, PIVOT, or DROP verdict.
    • Recommends the strongest version of the idea and the smallest useful MVP.
    • Includes an optional Brutal Mode for aggressively stress-testing weak assumptions.

    Why this beats prompting it yourself

    One-off prompts often produce inconsistent scoring, vague recommendations, and excessive encouragement. This skill applies a repeatable 14-stage validation process and a strict evidence hierarchy.

    It distinguishes assumptions, stated interest, observed behavior, and actual payment evidence. A concept can therefore receive a strong score while still being correctly labeled as having LOW Evidence Confidence.

    Use cases

    • Stress-test a Notion template, ebook, printable, spreadsheet, or AI workflow before building it.
    • Decide whether an underperforming product should be modified, repositioned, or abandoned.
    • Identify the smallest MVP needed to test the central product hypothesis.
    • Compare an idea with free tools, manual workflows, and competing products.
    • Find meaningful differentiation beyond aesthetics, extra pages, or generic bonuses.
    • Turn customer interviews, prototype feedback, preorders, sales, and usage data into a more evidence-based decision.

    Known limitations

    • The skill requires an initial product idea and works best when the user supplies information about the intended buyer.
    • It does not independently access private marketplace sales figures or internal data from platforms such as Etsy or Gumroad.
    • Live external research depends on the tools available to the AI agent using the skill.
    • Its conclusions are only as reliable as the evidence provided and cannot guarantee commercial success.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

      Free skills download straight away. Paid skills unlock right after purchase.

    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

    Skills folder by agent

    Click the path to copy it. Create the folder if it does not exist yet.

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    Recently published to Agensi

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    Security scanned

    Verified clean 1 month ago

    • Passed all security checks, Safe to install

    Listed1 month ago

    What's inside

    Frequently Asked Questions