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    SaaS Revenue Leak Starter

    by Mariusz Wrzeszczynski

    1

    Map early signs of SaaS revenue leakage across pricing, usage, entitlements, support, renewals, credits, and billing evidence without guessing totals.

    Free

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    See it in action

    You say

    A SaaS customer downgraded from 500 to 300 seats, still has 420 active users, receives weekend support not listed in the contract, and disputed two usage invoices. We have plan notes and sample invoices but no reconciled ledger. Map likely leakage areas, missing evidence, and the right next specialist. Do not calculate a loss total or change billing.

    Your agent does

    Leakage screen: seat entitlement drift, unpriced support, and disputed usage are separate hypotheses requiring different evidence. Reconcile contract dates, entitlement snapshots, usage-event definitions, invoice lineages, credits, and support exceptions before quantification; then route each confirmed class to the entitlement, metering, billing-dispute, or support-entitlement specialist.

    About this skill

    The problem

    SaaS companies often lose revenue because pricing, usage metering, and contract entitlements drift out of sync. It is difficult to pinpoint where the leak happens without manually auditing messy logs, invoices, and support records.

    What it does

    • Identifies discrepancies between contract entitlements and actual product usage snapshots.
    • Traces commercial signals back to specific evidence to confirm or reject leakage hypotheses.
    • Maps ownership and date-range gaps across billing, support, and renewal records.
    • Categorizes risks by customer impact and reversibility before any changes are made.
    • Generates a structured specialist handoff map for targeted remediation.

    Why this beats prompting it yourself

    General prompts often hallucinate revenue loss totals or suggest risky billing changes. This skill enforces a strict diagnostic discipline, separating supplied facts from hypotheses and ensuring you never alter customer state or invent financial figures.

    Use cases

    • Auditing support exceptions that are being delivered without corresponding price increases.
    • Identifying legacy discounts and credits that lack clear ownership or expiration dates.
    • Reconciling usage definitions against actual invoice events to find metering errors.
    • Routing complex billing disputes to the correct internal specialist for resolution.

    Known limitations

    Does not perform external actions, change billing state, or calculate total dollar losses. Requires sanitized commercial and operational data to be supplied by the user.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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