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mixpanelyst Skill

AI Agent SkillJavaScriptOpen source

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.

Decision snapshot

Is this a fit?

Best for

Testing, Data analysis, Writing, Includes SKILL.md

Works with

Compatibility not yet detected.

Access

Can write or update data, Write actions, Filesystem access, Network access

Setup

Copy skill directory

Project health

18 days ago

Considerations

Confirm write permissions and scope before use. Access note: Local files. Access note: Network access.

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.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
92/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Testing
  • Data analysis
  • Writing
  • Testing use cases
  • Data analysis use cases

Declared skill metadata

  • Source file: plugins/mixpanel-headless/skills/mixpanelyst/SKILL.md

Allowed tools declared by source

Bash Read Write WebFetch

These fields retain source and confidence evidence from the indexed SKILL.md.

Compatibility and setup

Copy skill directory
  • Install or run with Copy skill directory
  • Local files
  • Network access
  • Shell access

Requirements and access

Local filesNetwork accessShell access

Security and permissions

Review permissions before connecting any MCP server to an agent. Pay special attention to whether it can read local files, write data, call external services, or perform destructive actions.

Write actionsFilesystem accessNetwork accessShell accessCan write or update data

When to use mixpanelyst Skill

  • Use it for testing.
  • Use it for data analysis.
  • Use it for writing.

Built with

JavaScriptCopy skill directory

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

Verified compatibility and discovery

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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Stars
5,140
Forks
717
Last commit
18 days ago
Last verified
Aug 24, 2026
Metadata fetched
Aug 24, 2026
Repository age
6 months
License
Unknown

Project health auto-fetched from the source repository.

Maintain this resource?

Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.

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