This skill should be used when the user asks about Mixpanel product analytics, event data, funnel analysis, retention curves, cohort analysis, segmentation queries, user behavior, conversion rates, churn, DAU/MAU, ARPU, revenue metrics, feature adoption, A/B test results, user paths, flow analysis, session replay or session recordings (what a specific user did on screen, click-by-click — rage clicks, dead clicks, error sessions, action timelines), or any request to query, explore, visualize, or analyze Mixpanel data using Python. Also use when the user asks to read, write, or manage Mixpanel "business context" — the markdown documentation that grounds AI assistants in an organization's structure and goals.
$npx -y skills add mixpanel/mixpanel-headless --skill mixpanelystInstalls into the current project.
Run `npx skills use "https://github.com/mixpanel/mixpanel-headless" --skill "mixpanel/mixpanel-headless/mixpanelyst"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/mixpanel/mixpanel-headless" that are relevant to the current task. Run `npx skills add "https://github.com/mixpanel/mixpanel-headless"` and select the relevant skills, then follow their instructions.