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    Reviews-to-Offer Page

    1

    Turn supplied reviews and verified offer facts into an evidence-grounded offer page without cherry-picking.

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    Reviews-to-Offer Page

    Reviews-to-Offer Page

    Example session with this skill installed

    Use these eight supplied reviews and the verified facts for my physical focus mat to create one offer page for remote workers. Show explicit mention counts and denominator, include objections and contradictory evidence, map every claim to both review evidence and an offer fact, and use one CTA.

    • Read your context and instructions
    • Compiled the reviews-to-offer page
    • Generated the UI component
    ## Complete demonstration This is the same-case worked artifact shipped with the Skill. It preserves the evidence boundaries and does not claim publication or commercial results. ```html DeskBloom — Demonstration Offer Page Demonstration Output — fictional data, not supplied by the user Give every task a visible place to land.

    DeskBloom is a fictional washable focus mat with printed zones for today, later, and done—built for a visible desk reset, not a productivity guarantee.

    See if the physical workflow fits you

    What the supplied fictional reviews emphasized

    5/8

    Visual organization

    Five fictional reviews explicitly valued seeing task categories without opening an app.

    R01,R02,R04,R05,R08 + O01 2/8

    First-day setup friction

    Two reviewers wanted clearer examples for deciding what belongs in each zone.

    R03,R07 1/8

    Texture mismatch

    One reviewer disliked the surface feel. This remains a fit limitation, not a defect verdict.

    R06

    The offer, grounded in product facts

    No app required

    The workflow stays on the desk. No claim is made about distraction reduction.

    O01

    Three printed zones

    Today, later, and done provide a repeatable visual reset structure.

    O02

    Washable surface

    Care guidance is part of the fictional offer facts; durability beyond that is not established.

    O03

    Evidence matrix

    THEME SOURCES OFFER FACT CONFLICT PAGE USE Visual organization R01,R02,R04,R05,R08 O01,O02 none hero + benefit Setup uncertainty R03,R07 O02 none onboarding FAQ Surface preference R06 O03 isolated fit boundary CLAIM C01 -> SUPPORTED BY R01,R02,R04,R05,R08 + O01,O02 CLAIM C02 -> QUALIFIED BY R03,R07 CLAIM C03 -> BLOCKED: no review authenticity evidence

    Fit and non-fit

    Likely fit

    You prefer a physical, visible desk ritual and already know the small set of tasks you want to sort.

    May not fit

    You need reminders, team collaboration, analytics, or a texture-neutral digital system.

    Start clearly

    Use one task per zone on day one. The fictional setup guide would show three worked examples.

    Evidence boundary

    This demonstration uses eight fictional reviews. It does not establish review authenticity, market frequency, customer satisfaction, product quality, productivity impact, or conversion performance.

    CORPUS SIGNAL LEDGER v1.1
    Corpus: 8 fictional reviews
    Majority signal: 5/8 visual organization — R01,R02,R04,R05,R08 + O01,O02
    Minority friction: 2/8 setup uncertainty — R03,R07 + O02
    Isolated objection: 1/8 texture preference — R06 + O03
    Conflict status: VISIBLE — no universal buyer claim
    VERDICT: DEMONSTRATION — OFFER PAGE READY FOR SELLER REVIEW ``` **Next step:** review the evidence ledger and release blockers before using the asset externally.

    reviews-to-offer-page.tsx

    TSX · React component

    Generated

    Example file from a real run - the skill writes it into your workspace.

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

    What you get

    Analyze customer reviews using the R.E.V.I.E.W. methodMap sales claims to specific customer review source IDsGenerate self-contained HTML sales pages with proof blocksIdentify and address common buyer objections and contradictions

    About this skill

    The problem

    Review-mining prompts often cherry-pick praise and turn one comment into a universal buyer truth. The resulting copy cannot show where its claims came from.

    What this skill delivers

    Reviews-to-Offer Page transforms a supplied review corpus and verified offer facts into a theme and objection matrix plus a self-contained HTML offer page. It records source IDs, mention counts, denominator, claim-to-offer dependencies, contradictory themes, missing evidence, fit boundaries, and one CTA.

    Why it is different

    • Every sales claim depends on review evidence and a verified offer fact.
    • Minority and contradictory signals qualify the copy.
    • Denominators prevent single comments becoming universal claims.
    • An executable Corpus-Signal Gate checks the result.

    Included

    Source Skill, worked HTML demonstration, executable validator, and a six-page English buyer guide inside the ZIP.

    Boundaries

    No scraping, authentication claim, fabricated testimonial, popularity claim, performance guarantee, customer reply, or publication.

    How to install

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

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

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    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.

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    Recently published to Agensi

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    Trust & safety

    Security scanned

    Verified clean 14 days ago

    • Passed all security checks, Safe to install

    Listed14 days ago
    Updated2 days ago

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