davepoon/buildwithclaude/plugins/all-skills/skills/mixpanel-automation/SKILL.md
mixpanel-automation
Automate Mixpanel tasks via Rube MCP (Composio): events, segmentation, funnels, cohorts, user profiles, JQL queries. Always search tools first for current schemas.
- Source repository stars
- 3,359
- Declared platforms
- 0
- Static risk flags
- 0
- Last source update
- 2026-08-24
- Source checked
- 2026-08-26
Decision brief
What it does: where it fits
Automate Mixpanel product analytics through Composio's Mixpanel toolkit via Rube MCP.
Not for
- Tasks that require unconfirmed production actions or broad system permissions.
- Environments where the pinned source and install steps cannot be inspected.
Compatibility matrix
Platform support, with evidence labels
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
Inspect first. Install second.
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/davepoon/buildwithclaude --skill "plugins/all-skills/skills/mixpanel-automation"Inspect the Agent Skill "mixpanel-automation" from https://github.com/davepoon/buildwithclaude/blob/ebd20fe1d82fa74e9a2f94abfeff88090f6c758c/plugins/all-skills/skills/mixpanel-automation/SKILL.md at commit ebd20fe1d82fa74e9a2f94abfeff88090f6c758c. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
What the source asks the agent to do
- 01
Setup
Get Rube MCP: Add https://rube.app/mcp as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.
Verify Rube MCP is available by confirming RUBESEARCHTOOLS respondsCall RUBEMANAGECONNECTIONS with toolkit mixpanelIf connection is not ACTIVE, follow the returned auth link to complete Mixpanel authentication - 02
Prerequisites
Rube MCP must be connected (RUBESEARCHTOOLS available)
Rube MCP must be connected (RUBESEARCHTOOLS available)Active Mixpanel connection via RUBEMANAGECONNECTIONS with toolkit mixpanelAlways call RUBESEARCHTOOLS first to get current tool schemas - 03
Core Workflows
When to use: User wants to count events, get totals, or track event trends over time
MIXPANELGETALLPROJECTS - List projects to get project ID [Prerequisite]MIXPANELAGGREGATEEVENTCOUNTS - Get event counts and aggregations [Required]event: Event name or array of event names to aggregate - 04
1. Aggregate Event Data
When to use: User wants to count events, get totals, or track event trends over time
MIXPANELGETALLPROJECTS - List projects to get project ID [Prerequisite]MIXPANELAGGREGATEEVENTCOUNTS - Get event counts and aggregations [Required]event: Event name or array of event names to aggregate - 05
2. Run Segmentation Queries
When to use: User wants to break down events by properties for detailed analysis
MIXPANELQUERYSEGMENTATION - Run segmentation analysis [Required]event: Event name to segmentfromdate / todate: Date range in 'YYYY-MM-DD' format
Permission review
Static risk signals and limitations
No configured static risk pattern was detected
This is not proof of safety. Runtime behavior, indirect dependencies, and hidden external systems are outside the static scan.
Evidence record
Why each signal appears
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 91/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 3,359 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
Provenance and original SKILL.md
- Repository
- davepoon/buildwithclaude
- Skill path
- plugins/all-skills/skills/mixpanel-automation/SKILL.md
- Commit
- ebd20fe1d82fa74e9a2f94abfeff88090f6c758c
- License
- MIT
- Collected
- 2026-08-26
- Default branch
- main
View the original SKILL.md
Mixpanel Automation via Rube MCP
Automate Mixpanel product analytics through Composio's Mixpanel toolkit via Rube MCP.
Toolkit docs: composio.dev/toolkits/mixpanel
Prerequisites
- Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
- Active Mixpanel connection via
RUBE_MANAGE_CONNECTIONSwith toolkitmixpanel - Always call
RUBE_SEARCH_TOOLSfirst to get current tool schemas
Setup
Get Rube MCP: Add https://rube.app/mcp as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.
- Verify Rube MCP is available by confirming
RUBE_SEARCH_TOOLSresponds - Call
RUBE_MANAGE_CONNECTIONSwith toolkitmixpanel - If connection is not ACTIVE, follow the returned auth link to complete Mixpanel authentication
- Confirm connection status shows ACTIVE before running any workflows
Core Workflows
1. Aggregate Event Data
When to use: User wants to count events, get totals, or track event trends over time
Tool sequence:
MIXPANEL_GET_ALL_PROJECTS- List projects to get project ID [Prerequisite]MIXPANEL_AGGREGATE_EVENT_COUNTS- Get event counts and aggregations [Required]
Key parameters:
event: Event name or array of event names to aggregatefrom_date/to_date: Date range in 'YYYY-MM-DD' formatunit: Time granularity ('minute', 'hour', 'day', 'week', 'month')type: Aggregation type ('general', 'unique', 'average')where: Filter expression for event properties
Pitfalls:
- Date format must be 'YYYY-MM-DD'; other formats cause errors
- Event names are case-sensitive; use exact names from your Mixpanel project
wherefilter uses Mixpanel expression syntax (e.g.,properties["country"] == "US")- Maximum date range may be limited depending on your Mixpanel plan
2. Run Segmentation Queries
When to use: User wants to break down events by properties for detailed analysis
Tool sequence:
MIXPANEL_QUERY_SEGMENTATION- Run segmentation analysis [Required]
Key parameters:
event: Event name to segmentfrom_date/to_date: Date range in 'YYYY-MM-DD' formaton: Property to segment by (e.g.,properties["country"])unit: Time granularitytype: Count type ('general', 'unique', 'average')where: Filter expressionlimit: Maximum number of segments to return
Pitfalls:
- The
onparameter uses Mixpanel property expression syntax - Property references must use
properties["prop_name"]format - Segmentation on high-cardinality properties returns capped results; use
limit - Results are grouped by the segmentation property and time unit
3. Analyze Funnels
When to use: User wants to track conversion funnels and identify drop-off points
Tool sequence:
MIXPANEL_LIST_FUNNELS- List saved funnels to find funnel ID [Prerequisite]MIXPANEL_QUERY_FUNNEL- Execute funnel analysis [Required]
Key parameters:
funnel_id: ID of the saved funnel to queryfrom_date/to_date: Date rangeunit: Time granularitywhere: Filter expressionon: Property to segment funnel bylength: Conversion window in days
Pitfalls:
funnel_idis required; resolve via LIST_FUNNELS first- Funnels must be created in Mixpanel UI first; API only queries existing funnels
- Conversion window (
length) defaults vary; set explicitly for accuracy - Large date ranges with segmentation can produce very large responses
4. Manage User Profiles
When to use: User wants to query or update user profiles in Mixpanel
Tool sequence:
MIXPANEL_QUERY_PROFILES- Search and filter user profiles [Required]MIXPANEL_PROFILE_BATCH_UPDATE- Update multiple user profiles [Optional]
Key parameters:
where: Filter expression for profile properties (e.g.,properties["plan"] == "premium")output_properties: Array of property names to include in resultspage: Page number for paginationsession_id: Session ID for consistent pagination (from first response)- For batch update: array of profile updates with
$distinct_idand property operations
Pitfalls:
- Profile queries return paginated results; use
session_idfrom first response for consistent paging whereuses Mixpanel expression syntax for profile properties- BATCH_UPDATE applies operations (
$set,$unset,$add,$append) to profiles - Batch update has a maximum number of profiles per request; chunk larger updates
- Profile property names are case-sensitive
5. Manage Cohorts
When to use: User wants to list or analyze user cohorts
Tool sequence:
MIXPANEL_COHORTS_LIST- List all saved cohorts [Required]
Key parameters:
- No required parameters; returns all accessible cohorts
- Response includes cohort
id,name,description,count
Pitfalls:
- Cohorts are created and managed in Mixpanel UI; API provides read access
- Cohort IDs are numeric; use exact ID from list results
- Cohort counts may be approximate for very large cohorts
- Cohorts can be used as filters in other queries via
whereexpressions
6. Run JQL and Insight Queries
When to use: User wants to run custom JQL queries or insight analyses
Tool sequence:
MIXPANEL_JQL_QUERY- Execute a custom JQL (JavaScript Query Language) query [Optional]MIXPANEL_QUERY_INSIGHT- Run a saved insight query [Optional]
Key parameters:
- For JQL:
scriptcontaining the JQL JavaScript code - For Insight:
bookmark_idof the saved insight project_id: Project context for the query
Pitfalls:
- JQL uses JavaScript-like syntax specific to Mixpanel
- JQL queries have execution time limits; optimize for efficiency
- Insight
bookmark_idmust reference an existing saved insight - JQL is a legacy feature; check Mixpanel documentation for current availability
Common Patterns
ID Resolution
Project name -> Project ID:
1. Call MIXPANEL_GET_ALL_PROJECTS
2. Find project by name in results
3. Extract project id
Funnel name -> Funnel ID:
1. Call MIXPANEL_LIST_FUNNELS
2. Find funnel by name
3. Extract funnel_id
Mixpanel Expression Syntax
Used in where and on parameters:
- Property reference:
properties["property_name"] - Equality:
properties["country"] == "US" - Comparison:
properties["age"] > 25 - Boolean:
properties["is_premium"] == true - Contains:
"search_term" in properties["name"] - AND/OR:
properties["country"] == "US" and properties["plan"] == "pro"
Pagination
- Event queries: Follow date-based pagination by adjusting date ranges
- Profile queries: Use
pagenumber andsession_idfor consistent results - Funnel/cohort lists: Typically return complete results without pagination
Known Pitfalls
Date Formats:
- Always use 'YYYY-MM-DD' format
- Date ranges are inclusive on both ends
- Data freshness depends on Mixpanel ingestion delay (typically minutes)
Expression Syntax:
- Property references always use
properties["name"]format - String values must be quoted:
properties["status"] == "active" - Numeric values are unquoted:
properties["count"] > 10 - Boolean values:
true/false(lowercase)
Rate Limits:
- Mixpanel API has rate limits per project
- Large segmentation queries may time out; reduce date range or segments
- Use batch operations where available to minimize API calls
Response Parsing:
- Response data may be nested under
datakey - Event data is typically grouped by date and segment
- Numeric values may be returned as strings; parse explicitly
- Empty date ranges return empty objects, not empty arrays
Quick Reference
| Task | Tool Slug | Key Params |
|---|---|---|
| List projects | MIXPANEL_GET_ALL_PROJECTS | (none) |
| Aggregate events | MIXPANEL_AGGREGATE_EVENT_COUNTS | event, from_date, to_date, unit |
| Segmentation | MIXPANEL_QUERY_SEGMENTATION | event, on, from_date, to_date |
| List funnels | MIXPANEL_LIST_FUNNELS | (none) |
| Query funnel | MIXPANEL_QUERY_FUNNEL | funnel_id, from_date, to_date |
| Query profiles | MIXPANEL_QUERY_PROFILES | where, output_properties, page |
| Batch update profiles | MIXPANEL_PROFILE_BATCH_UPDATE | (profile update objects) |
| List cohorts | MIXPANEL_COHORTS_LIST | (none) |
| JQL query | MIXPANEL_JQL_QUERY | script |
| Query insight | MIXPANEL_QUERY_INSIGHT | bookmark_id |
Powered by Composio
Frequently asked questions
What to verify before installation and use
What does the mixpanel-automation source document cover?
Automate Mixpanel product analytics through Composio's Mixpanel toolkit via Rube MCP.
How do I install mixpanel-automation?
The source record exposes this install command: npx skills add https://github.com/davepoon/buildwithclaude --skill "plugins/all-skills/skills/mixpanel-automation". Inspect the command and pinned source before running it.
Alternatives
Compare before choosing
K-Dense-AI/scientific-agent-skills
dask
Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
synthetic-sciences/openscience
pharmacology-wetlab
Computational analysis of pharmacology wet-lab experiments. Western blot densitometry, xenograft tumor growth inhibition, pharmaceutical stability modeling (Arrhenius), radiolabeled antibody biodistribution, MIRD dosimetry, and adverse event grading. For drug databases use chembl-database or fda-database; for molecular docking use diffdock.
JasonColapietro/suede-creator-skills
suede-instagram-growth
Suede-owned Instagram growth operating system for account-specific audits, Reels, carousels, Stories, conversion mapping, calendars, and daily candidate-production loops. Use when the user names Instagram, IG, Reels, Stories, asks to analyze recent posts, grow a handle, run a daily workflow, create or repurpose Instagram content, or distinguish views from follows, leads, and sales. NOT FOR: multi-platform organic strategy (use suede-social), full video rendering or editing (use suede-video), pai
K-Dense-AI/scientific-agent-skills
neuropixels-analysis
Analyze Neuropixels extracellular recordings end-to-end with SpikeInterface. Covers loading SpikeGLX/Open Ephys/NWB data, preprocessing, drift/motion correction, Kilosort4 (and CPU) spike sorting, quality metrics, and unit curation (threshold-based, model-based UnitRefine, and AI-assisted visual review). Use when working with Neuropixels 1.0/2.0 recordings, spike sorting, or extracellular electrophysiology analysis.