Collect weekly performance figures from connected tools and supplied exports, clean revenue and reporting details, and label what is verified, claimed, unmeasured, or unused by channel. The result is a coverage summary and a clean dataset for the wider performance analysis workflow.
Step of the analyze-performance playbook: gathers the week's numbers from tools, exports and pastes, cleans them, and writes the coverage line or switches to claims-only mode. Run analyze-performance instead; not for direct use.
Run score Not tested
See how to installReview the instructions the agent will receive before you install.
Load: ../analyze-performance/references/measurement-contract.md.
Inputs: the measurement contract (company type, referee, channel roster); tool reads (meta_read performance, social_analytics_get, ads_creative_read, video_read, campaign_read); the marketer's connectors / exports / screenshots / pastes from the one input message.
Do:
meta_read identifies Goose ads and cross-checks — de-duplicate by ad id.
3b. Save the input summary to reports/performance/inputs/<YYYY-MM-DD>.md for run-paid-campaigns to reuse.Output: a clean dataset per channel with labels, the coverage line, and the list of asks for next week.
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The supplied material contains only placeholder text for the skill’s purpose, inputs, steps, and completion criteria. It does not provide enough information to describe a task or result reliably.
Research supported advertising angles using buyer context, current product facts, customer language, and observed ads. Turn the evidence into static ad, video, or copy ideas, matching video concepts to available recipes. Scores rank ideas for testing; they do not predict results.
Analyze campaign data from Google, Meta, and LinkedIn to find strong and wasteful spend. The skill checks funnel performance and test results, then recommends which campaigns to pause, scale, or test and how to shift budget across channels.
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