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mixpanel-automation混合面板自动化

Agent Skill

mixpanel-automation 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

582

周安装

25

GitHub Stars

52

下载量

204
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:mixpanel-automation(混合面板自动化)
来源仓库:https://github.com/aaaaqwq/claude-code-skills
仓库路径:skills/mixpanel-automation
安装命令:
npx skills add https://github.com/aaaaqwq/claude-code-skills --skill mixpanel-automation
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/aaaaqwq/claude-code-skills --skill mixpanel-automation

简介

mixpanel-automation 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。

  • 适用于 Mixpanel 自动化相关的信息查询与筛选,可结合来源仓库和原始 README 核验具体用法。
  • 通过 npx skills add 命令从 GitHub 安装,需确认权限范围和是否触发联网或文件操作。
  • 建议在使用前检查维护状态和实际功能是否符合预期,避免误判技能能力边界。
  • 涉及敏感数据时需谨慎授权,确保 token 权限仅限于必要的最小范围。

SKILL.md

Mixpanel Automation via Rube MCP

Automate Mixpanel product analytics through Composio's Mixpanel toolkit via Rube MCP.

Prerequisites

  • Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
  • Active Mixpanel connection via RUBE_MANAGE_CONNECTIONS with toolkit mixpanel
  • Always call RUBE_SEARCH_TOOLS first 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.

  1. Verify Rube MCP is available by confirming RUBE_SEARCH_TOOLS responds
  2. Call RUBE_MANAGE_CONNECTIONS with toolkit mixpanel
  3. If connection is not ACTIVE, follow the returned auth link to complete Mixpanel authentication
  4. 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:

  1. MIXPANEL_GET_ALL_PROJECTS - List projects to get project ID [Prerequisite]
  2. MIXPANEL_AGGREGATE_EVENT_COUNTS - Get event counts and aggregations [Required]

Key parameters:

  • event: Event name or array of event names to aggregate
  • from_date / to_date: Date range in 'YYYY-MM-DD' format
  • unit: 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
  • where filter 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:

  1. MIXPANEL_QUERY_SEGMENTATION - Run segmentation analysis [Required]

Key parameters:

  • event: Event name to segment
  • from_date / to_date: Date range in 'YYYY-MM-DD' format
  • on: Property to segment by (e.g., properties["country"])
  • unit: Time granularity
  • type: Count type ('general', 'unique', 'average')
  • where: Filter expression
  • limit: Maximum number of segments to return

Pitfalls:

  • The on parameter 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:

  1. MIXPANEL_LIST_FUNNELS - List saved funnels to find funnel ID [Prerequisite]
  2. MIXPANEL_QUERY_FUNNEL - Execute funnel analysis [Required]

Key parameters:

  • funnel_id: ID of the saved funnel to query
  • from_date / to_date: Date range
  • unit: Time granularity
  • where: Filter expression
  • on: Property to segment funnel by
  • length: Conversion window in days

Pitfalls:

  • funnel_id is 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:

  1. MIXPANEL_QUERY_PROFILES - Search and filter user profiles [Required]
  2. 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 results
  • page: Page number for pagination
  • session_id: Session ID for consistent pagination (from first response)
  • For batch update: array of profile updates with $distinct_id and property operations

Pitfalls:

  • Profile queries return paginated results; use session_id from first response for consistent paging
  • where uses 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:

  1. 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 where expressions

6. Run JQL and Insight Queries

When to use: User wants to run custom JQL queries or insight analyses

Tool sequence:

  1. MIXPANEL_JQL_QUERY - Execute a custom JQL (JavaScript Query Language) query [Optional]
  2. MIXPANEL_QUERY_INSIGHT - Run a saved insight query [Optional]

Key parameters:

  • For JQL: script containing the JQL JavaScript code
  • For Insight: bookmark_id of 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_id must 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 page number and session_id for 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 data key
  • 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

TaskTool SlugKey Params
List projectsMIXPANEL_GET_ALL_PROJECTS(none)
Aggregate eventsMIXPANEL_AGGREGATE_EVENT_COUNTSevent, from_date, to_date, unit
SegmentationMIXPANEL_QUERY_SEGMENTATIONevent, on, from_date, to_date
List funnelsMIXPANEL_LIST_FUNNELS(none)
Query funnelMIXPANEL_QUERY_FUNNELfunnel_id, from_date, to_date
Query profilesMIXPANEL_QUERY_PROFILESwhere, output_properties, page
Batch update profilesMIXPANEL_PROFILE_BATCH_UPDATE(profile update objects)
List cohortsMIXPANEL_COHORTS_LIST(none)
JQL queryMIXPANEL_JQL_QUERYscript
Query insightMIXPANEL_QUERY_INSIGHTbookmark_id

适合场景

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02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

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能力 2

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能力 3

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能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.7%
按下载量换算71

Claude

30.16%
按下载量换算62

Cursor

19.74%
按下载量换算40

Gemini CLI

9.76%
按下载量换算20

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

可疑

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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