Analyze built audiences into aggregate profiles with HTML and JSON reports.
npx skills add https://github.com/wattdata/plugin --skill audience-analyze
Please help me install this Agent Skill. Skill: audience-analyze Source: https://github.com/wattdata/plugin/tree/main/skills/audience-analyze Command: npx skills add https://github.com/wattdata/plugin --skill audience-analyze
This Skill turns a built audience into an aggregate readout of who it reaches, what signals define it, and how it compares with the broader population.
Ask the audience-analyze skill to read this built audience and return an aggregate profile with signals, coverage, discovered traits, and a shareable report.
High-intent search queries and answers about installing and using this skill.
Audience profiling analyzes built audiences into aggregate profiles by summarizing signal prevalence, coverage distribution, discovered traits, and skews to reveal who it reaches and how it compares with the broader population.
You can validate audience scale by running a sanity check that applies lift scoring and coverage summaries, comparing your audience's defining signals against the broader population to identify skews and ensure proper market reach.
Yes, shareable offline HTML and JSON report generation is supported, producing clean aggregate readouts of audience signals and traits for stakeholders without exposing individual records or personally identifiable information.
Lift scoring applies to brief-driven audience discovery, signal-stack reads, and list-based profile reads, routing each input type through the correct analysis path to calculate deterministic signal skews and coverage distributions.
The best way to analyze signal prevalence is through deterministic profiling, which summarizes your audience's defining signals, calculates coverage distributions, and identifies skews to produce a comprehensive market research profile.
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