Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+22 more

    MRR & ARR Intelligence

    1

    Analyze recurring revenue movement with consistent MRR/ARR definitions, bridges, cohorts, and reconciliation.

    $9.99

    Secure checkout via Stripe

    Money-back guarantee

    Converts to your local currency at checkout

    Security scanned
    MRR & ARR Intelligence

    MRR & ARR Intelligence

    Example session with this skill installed

    A SaaS reports opening MRR $500k, new $40k, expansion $18k, contraction $12k, churn $22k. Build an MRR bridge and checks.

    • Read your context and instructions
    • Compiled the mrr & arr

    MRR & ARR Intelligence: practical plan

    MRR bridge

    Opening MRR: $500k

    • New: $40k
    • Expansion: $18k
      − Contraction: $12k
      − Churn: $22k
      = Closing MRR: $524k

    Net MRR change is $24k, or 4.8% of opening MRR. Annualized run rate would be $6.288M only if the closing MRR is valid recurring revenue and no seasonality or contractual nuance requires adjustment.

    Reconciliation checks

    Confirm one-time fees excluded, discounts and credits handled consistently, currency converted at an approved rate, and customer changes assigned to the correct month. Tie closing MRR to billing records and finance policy.

    Segment analysis

    Break down by new versus existing customers, plan, region and cohort. Report gross and net retention separately.

    Decision support

    Explain drivers with customer counts and amounts, not only percentage growth. Flag data gaps, late invoices and contract changes.

    Governance

    Publish a metric definition, owner, snapshot date and restatement process. Do not equate ARR with recognized revenue or cash.

    Measurement and review

    Record the baseline, source, date range, denominator and owner. Use one primary measure plus quality guardrails; compare like-for-like cohorts and disclose missing data. Treat estimates as scenarios, not observed outcomes.

    Risks and controls

    Check relevance, consent, disclosure, workload and downside before scaling. Keep an evidence trail, obtain human review for material commitments, and pause if trust, quality or compliance signals deteriorate.

    Next steps

    1. Confirm the goal, audience and available capacity.
    2. Gather the minimum evidence for a first test.
    3. Assign an owner, budget and review date.
    4. Run a small pilot, record outcomes and decide whether to iterate, expand or stop.

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

    About this skill

    Create a practical, evidence-led MRR & ARR Intelligence workflow. Analyze recurring revenue movement with consistent MRR/ARR definitions, bridges, cohorts, and reconciliation. Distinguish observations from assumptions, request missing inputs, give actionable recommendations with owners and measurable outcomes, and flag uncertainty. Avoid fabricated metrics, unsupported guarantees, deceptive tactics and unnecessary personal data.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

    Reviews

    No reviews yet

    Be one of the first to try it. Every listed skill passes our trust checks below.

    Security scanned

    Passed our 8-point scan before listing

    Fresh listing

    Recently published to Agensi

    Money-back guarantee

    Doesn't do what its page promises? You get your money back.

    Trust & safety

    Security scanned

    Verified clean 3 days ago

    • Passed all security checks, Safe to install

    Listed3 days ago

    What's inside

    Frequently Asked Questions