KPI Panel

    1

    Performance reporting and KPI monitoring for POD/dropshipping stores with automated stop-rule alerts.

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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    KPI Panel

    Example session with this skill installed

    Here are the numbers for AlphaPrints for Oct Week 3: Etsy rev $1200 (target $1500), 4.7 rating. Shopify rev $800 (target $1000), CAC 32% for 8 days, avg cart $42. 4 new designs (target 10). Net margin 6%.

    • Read your context and instructions
    • Compiled the kpi panel
    • Generated the document

    I have analyzed the performance data for AlphaPrints. The shop is currently failing to meet its primary margin and pipeline targets, triggering several critical stop-rules.

    📊 ALPHAPRINTS — Oct 22, 2023 / October, Week 3

    REVENUE
    Etsy $1,200 (target $1,500 — 80%)
    Shopify $800 (target $1,000 — 80%)
    TOTAL $2,000 (monthly target $6,000 — 33%)

    MARGIN
    Blended net margin: 6% (threshold 7% / target 15-20%)

    PIPELINE (the real KPI)
    New designs: 4 / quota 10
    Total listings: 142 / target 150

    ALERTS
    ⚠️ CRITICAL: Blended net margin (6%) is below the 7% threshold. Immediate price/cost review required.
    ⚠️ STOP-RULE: Etsy shop rating (4.7) is below 4.8. All new listings must pause.
    ⚠️ STOP-RULE: Shopify CAC (32%) has exceeded 28% for 8 consecutive days. Campaign pauses required.
    ⚠️ STOP-RULE: Average cart ($42) is below $45. Ad budget must not be increased.
    ⚠️ PIPELINE: Design quota missed. Revenue shortfall is linked to low listing volume.

    THIS WEEK'S SINGLE PRIORITY
    Audit all product costs and shipping profiles to restore the 7% minimum net margin.

    Next steps

    1. Pause all Shopify ad sets with a CAC above 28% immediately.
    2. Halt new Etsy listings and resolve any outstanding customer disputes to bring the rating back to 4.8.
    3. Complete the missing 6 designs from last week's quota before starting new tasks.

    kpi-panel.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

    Audit daily shop health against strict operational stop-rules.Identify if revenue drops are caused by ad performance or pipeline lag.Verify month-end phase advancement readiness for scaling ad spend.Generate objective, "bad news first" summaries for weekly team meetings.

    About this skill

    The problem

    Running a POD or dropshipping business involves juggling fragmented data across Etsy, Shopify, and ad platforms. Most sellers bury their heads in vanity metrics and fail to notice when a stop-rule is triggered or when the pipeline is actually the root cause of low revenue.

    What it does

    • Aggregates daily and weekly performance data across Etsy and Shopify storefronts.
    • Calculates blended net margins against strict 7% minimum thresholds and 15-20% targets.
    • Monitors operational pipeline metrics including new design quotas and listing counts.
    • Automatically scans for stop-rule triggers like low shop ratings, high CAC, or low average cart values.
    • Identifies phase-advancement eligibility based on listing volume and sales velocity.

    Why this beats prompting it yourself

    Generic AI prompts often provide optimistic, "congratulatory" summaries that obscure financial risk. This skill enforces a "bad news first" reporting protocol, prioritizes pipeline health over ad spend analysis, and strictly adheres to predefined stop-rules that prevent capital loss.

    Use cases

    • Generating a Monday morning status report to align on the week's single priority.
    • Reviewing monthly phase-advancement criteria to decide if it is time to scale ad spend.
    • Performing a daily health check to identify triggered stop-rules and necessary pauses.
    • Analyzing revenue drops by cross-referencing listing quotas rather than just traffic metrics.

    Known limitations

    Does not integrate directly via API; requires the user to provide the raw numbers from platform dashboards. Reports are based on 7-day minimum data windows to avoid overreacting to daily variance.

    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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      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

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