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mobile-app-analytics移动应用程序分析

Agent Skill

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

总安装

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下载量

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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

MIT-0

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:mobile-app-analytics(移动应用程序分析)
来源仓库:https://github.com/ivangdavila/mobile-app-analytics
安装命令:
openclaw skills install mobile-app-analytics
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install mobile-app-analytics

简介

使用 Firebase、App Store Connect、Play Console、留存率、渠道和同期群分析来跟踪移动应用指标。

SKILL.md

name
Mobile App Analytics
slug
mobile-app-analytics
version
1.0.0
homepage
https://clawic.com/skills/mobile-app-analytics
description
Track mobile app metrics with Firebase, App Store Connect, Play Console, retention, funnels, and cohort analysis.
metadata
{"clawdbot":{"emoji":"📱","requires":{"bins":[]},"os":["linux","darwin","win32"]}}

Setup

On first use, read setup.md for integration guidelines. Create ~/mobile-app-analytics/ if it doesn't exist.

When to Use

User needs to track, analyze, or optimize mobile app performance metrics. Agent handles Firebase Analytics queries, App Store Connect data, Play Console reports, retention analysis, funnel debugging, and cohort comparisons.

Architecture

Memory lives in ~/mobile-app-analytics/. See memory-template.md for setup.

~/mobile-app-analytics/
├── memory.md          # Apps tracked, goals, alerts
├── apps/              # Per-app analytics configs
│   └── {app-name}.md  # Events, funnels, KPIs per app
└── benchmarks.md      # Industry benchmarks reference

Quick Reference

TopicFile
Setup processsetup.md
Memory templatememory-template.md
Firebase Analyticsfirebase.md
App Store Connectapp-store.md
Play Consoleplay-console.md
Core metricsmetrics.md

Core Rules

1. Platform Detection

Detect from context which platform(s) the app targets:

  • iOS only → focus on App Store Connect + Firebase
  • Android only → focus on Play Console + Firebase
  • Cross-platform → cover both stores + unified Firebase

2. Metric Hierarchy

Always prioritize metrics in this order:

  1. Revenue metrics (LTV, ARPU, conversion) — what pays the bills
  2. Retention metrics (D1, D7, D30) — determines long-term success
  3. Engagement metrics (DAU/MAU, session length) — leading indicators
  4. Acquisition metrics (installs, sources) — growth levers

3. Cohort-First Analysis

Never report aggregate numbers alone. Always segment by:

  • Install cohort (when users joined)
  • Acquisition source (organic, paid, referral)
  • User tier (free, trial, paid)
  • Platform (iOS vs Android)

4. Alert Thresholds

Proactively flag anomalies:

MetricAlert if
D1 retention< 25% (below industry floor)
Crash-free rate< 99%
DAU/MAU ratioDrops > 10% week-over-week
LTV:CAC ratio< 3:1

5. Data Freshness

Know platform data delays:

SourceTypical Delay
Firebase real-timeMinutes
Firebase daily reports24-48h for full data
App Store Connect24-48h
Play Console24-48h

6. Privacy Compliance

  • Never track PII in custom events
  • Respect ATT (iOS) and consent requirements
  • User properties: demographics OK, personal identifiers NOT OK
  • GDPR: support data deletion requests

7. Event Naming Conventions

Enforce consistent naming across platforms:

{verb}_{noun}[_{qualifier}]

Examples:
- view_screen_home
- tap_button_subscribe  
- complete_purchase_annual
- start_onboarding_step1

Common Traps

  • Vanity metrics obsession → Total downloads means nothing; track active users and retention instead
  • Ignoring platform differences → iOS users often have 20-30% higher LTV; don't merge data blindly
  • Wrong attribution window → 7-day attribution misses subscription conversions; use 30-day for subscriptions
  • Survivorship bias → Analyzing only current users ignores why churned users left
  • Timezone mismatches → Firebase uses UTC by default; App Store uses your configured timezone

External Endpoints

EndpointData SentPurpose
Firebase Analytics APIApp ID, date rangeFetch metrics
App Store Connect APIApp ID, credentialsiOS analytics
Play Console APIApp ID, credentialsAndroid analytics

No other data is sent externally.

Security & Privacy

Data that leaves your machine:

  • Analytics queries to Firebase/Apple/Google APIs when you provide credentials

Data that stays local:

  • Your tracked apps and goals in ~/mobile-app-analytics/
  • Benchmark comparisons and notes

This skill does NOT:

  • Store credentials (use your platform's standard credential methods)
  • Access files outside ~/mobile-app-analytics/
  • Make requests to undeclared endpoints

Scope

This skill ONLY:

  • Provides guidance on mobile app analytics platforms
  • Stores your app configurations in ~/mobile-app-analytics/
  • Queries Firebase, App Store Connect, and Play Console when you provide credentials

This skill NEVER:

  • Stores credentials in files (use environment variables)
  • Accesses files outside ~/mobile-app-analytics/
  • Makes requests to undeclared endpoints
  • Modifies global agent memory or other skills

Related Skills

Install with clawhub install <slug> if user confirms:

  • app-store-connect — iOS App Store management
  • flutter — Cross-platform app development
  • saas — SaaS business metrics and growth

Feedback

  • If useful: clawhub star mobile-app-analytics
  • Stay updated: clawhub sync

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

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

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按下载量换算4,454

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安装前确认

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