workmagic-skills

Plugin workmagic-skills from marketplace workmagic in workmagicio/skills. Commands read from the repo's manifest — 2 days ago.

Skills (13)

• attribution-anomaly-diagnosis

  Diagnose "why" questions about attribution anomalies — attribution=0 (no attributed orders), and sudden drops, spikes or retroactive changes in attributed numbers. Do NOT use for "show me numbers" — that's attribution-data-query.

• attribution-custom-dimension

  Handle attribution queries sliced by a business label ("by audience" / "by region" / "by brand") that is not a native field — it lives in campaign names and only becomes queryable once a Naming Convention (NC) rule is configured.

• attribution-data-query

  Translate explicit data requests into Cube.dev SQL and return results. Default skill for query-type asks in the Attribution domain. No estimation, no fabrication, no proactive dashboards.

• attribution-edge-routing

  Recognize when a user request falls outside attribution's capability boundary and route it gracefully — to another WM product (MBO / Lift Test / Creative Magic / Ads Magic / Audience Magic), to a human (CSM / DS / Eng), or to a clean decline that bridges back to what attribution can answer.

• attribution-intent-clarification

  Resolve genuinely ambiguous attribution queries by asking ONE focused clarifying question, then hand off to attribution-data-query (or another skill). Never become a wall of questions.

• attribution-model-comparison

  Pull attribution numbers under multiple attribution models side-by-side and explain why they differ in business language. Default 4-way comparison (idda / dda / last_click / platform_reported).

• attribution-weekly-report

  Build or schedule a recurring attribution performance board — a business-review page at whatever cadence the user reviews on (daily / weekly / monthly / quarterly), optionally delivered on a schedule, plus condition-based alerts (Heartbeat). A one-off number is attribution-data-query.

• lift-test-creation

  Turn a natural-language request — a scope or just a cell count, plus any constraints — into an executable lift test draft.

• lift-test-readout

  Read and act on completed lift test results — interpret iROAS, confidence scores, and turn the data into a post-test decision.

• mbo-create-scenario

  Turn a natural-language ask about media budget optimization into a configured MBO scenario — "how should I split my budget", "how much should I spend on X". Also handles rename, edit and delete on existing scenarios.

• mbo-read-scenario

  Interpret existing MBO scenario results — read one, compare two, or reconcile MBO against attribution, lift tests, or actual spend. Read-only; "how much should I spend" goes to mbo-create-scenario.

• media-buyer-input-capture

  File what a customer tells you about their own promotional calendar into the AI Media Buyer customer input ledger. Use whenever a customer mentions a sale, a launch, or a promo window — stated directly, sitting in a document they shared, or dropped in passing during another conversation.

• media-buyer-read

  Explain the AI Media Buyer managed service to a non-technical brand owner. Use whenever the customer asks about actions taken on their ad accounts, whether an action worked, how the managed accounts are performing, or how the service is configured.

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