mixpanelyst Skill
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, or any request to qu Published by openai in plugins.
What is mixpanelyst Skill?
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, or any request to qu Published by openai in plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Testing
- Data analysis
- Writing
- Testing use cases
- Data analysis use cases
Technical details
- Install or run with Copy skill directory
When to use mixpanelyst Skill
- Use it for testing.
- Use it for data analysis.
- Use it for writing.
Built with
Editorial notes
Source
- Creator: openai
- Repository: openai/plugins
- Skill file: plugins/mixpanel-headless/skills/mixpanelyst/SKILL.md
What it does
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, or any request to qu
Skill instructions
mixpanelheadless API Reference Analyze Mixpanel data by writing and executing Python code using the mixpanelheadless library and pandas. Before running bundled helper scripts, set SKILLDIR to the absolute path of this skills/mixpanelyst directory. python import mixpanelheadless as mp ws = mp.Workspace() result = ws.query("Login", last=30) print(result.df.head()) Query Engines | Question | Method | Returns | |----------|--------|---------| | How much? How many? Trends? | ws.query() | QueryResult | | Do users convert through a sequence? | ws.queryfunnel() | FunnelQueryResult | | Do users come back? | ws.queryretention() | RetentionQueryResult | | What paths do users take? | ws.queryflow() | FlowQueryResult | | Who are they? What do they look like? | ws.queryuser() | UserQueryResult | All result types have a .df property returning a pandas DataFrame and a .params dict containing the bookmark JSON. FlowQueryResult also has .graph (NetworkX DiGraph) and .anytree (list of tree roots). Quick
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Frequently asked questions
What is mixpanelyst?
mixpanelyst is a open-source AI agent skill with Copy skill directory. 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.
Who is mixpanelyst best for?
mixpanelyst is best for reusing agent instructions, scripts, and references, testing workflows, data analysis workflows, writing workflows.
How do I install mixpanelyst?
Install or run mixpanelyst using Copy skill directory. Check mixpanelyst for the latest setup command.
Is mixpanelyst actively maintained?
mixpanelyst may need a closer maintenance check before production use.
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