Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+22 more

    AI Revenue Leakage Recovery Engine™

    1

    Find, quantify, and prioritize hidden revenue leaks across billing, subscriptions, payments, discounts, and usage data.

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    AI Revenue Leakage Recovery Engine™

    AI Revenue Leakage Recovery Engine™

    Example session with this skill installed

    Analyze these revenue records for potential leakage.

    Files provided

    • customer_subscriptions.csv
    • invoices.csv
    • payments.csv
    • discounts.csv
    • usage.csv
    • contracts.csv

    Identify

    1. Underbilled customers
    2. Expired discounts still being applied
    3. Unbilled usage
    4. Invoice/payment mismatches
    5. Refund anomalies
    6. Contract-to-invoice pricing mismatches

    For every finding, show the affected record, estimated financial impact, evidence, confidence level, root cause, and recovery priority.

    Also calculate the total potential revenue at risk.

    • Read your context and instructions
    • Compiled the ai revenue leakage
    • Generated the document

    REVENUE LEAKAGE RECOVERY REPORT

    TOTAL POTENTIAL REVENUE AT RISK
    $43,350

    HIGH-PRIORITY FINDINGS

    1. Contract-to-Invoice Underbilling
      Affected Records: 17
      Estimated Impact: $18,420
      Confidence: HIGH
      Evidence: Contract pricing differs from invoiced pricing
      Priority: CRITICAL

    2. Expired Discounts Still Active
      Affected Records: 31
      Estimated Impact: $7,830
      Confidence: HIGH
      Evidence: Discount end dates have passed
      Priority: HIGH

    3. Unbilled Usage
      Affected Records: 24
      Estimated Impact: $11,650
      Confidence: MEDIUM
      Evidence: Recorded usage exceeds billed usage
      Priority: CRITICAL

    4. Payment Collection Gaps
      Affected Records: 12
      Estimated Impact: $4,210
      Confidence: HIGH
      Priority: HIGH

    RECOVERY PRIORITY

    CRITICAL — $30,070
    HIGH — $13,280

    NEXT INVESTIGATION

    1. Verify the 17 underbilled contracts.
    2. Correct expired discount rules.
    3. Reconcile the 24 unbilled usage records.

    NOTE
    Potential revenue at risk is not the same as guaranteed recoverable revenue.

    ai-revenue-leakage-recovery-engine.pdf

    PDF · document

    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

    Find Revenue LeakageAudit Billing RecordsReconcile Revenue DataDetect UnderbillingPrioritize Recovery Opportunities

    About this skill

    AI Revenue Leakage Recovery Engine™ reconciles revenue and billing records to identify hidden leakage such as underbilling, expired discounts, unbilled usage, payment gaps, refund anomalies, and contract-to-invoice mismatches. It produces an evidence-backed Revenue-at-Risk Ledger showing the affected records, estimated financial impact, confidence, root cause, and recovery priority—so teams can investigate the highest-value leaks first.

    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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    Fresh listing

    Recently published to Agensi

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    Trust & safety

    Security scanned

    Verified clean 1 month ago

    • Passed all security checks, Safe to install

    Listed1 month ago
    Updated1 month ago

    What's inside

    Frequently Asked Questions