Agent skill

App Analytics

by appeeky in appeeky/aso-skills

When the user wants to set up, interpret, or improve their app analytics and tracking.

MITAuto-check passedMarketing & SEO

Install App Analytics

skills CLI
$ npx skills add appeeky/aso-skills --skill app-analytics -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install appeeky/aso-skills app-analytics --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/appeeky/aso-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/app-analytics .claude/skills/app-analytics && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
app-analytics
GitHub stars
2.1k
Token cost
~1.6k tokens
SKILL.md length
524 words
Files
1
Skills in repo
39
Repo updated
First seen
Licence
MIT

At a glance

When the user wants to set up, interpret, or improve their app analytics and tracking.

  • Works in 5 steps: Check for app-marketing-context.md —… → Ask: What analytics tools do you… → Ask: What are your top 3 questions about… → …
  • Wants to set up
  • SKILL.md covers Initial Assessment, Analytics Stack, Key Metrics Framework and Event Tracking Plan, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

App Analytics is an agent skill from appeeky/aso-skills. When the user wants to set up, interpret, or improve their app analytics and tracking. Also use when the user mentions "analytics", "tracking", "metrics", "KPIs", "App Store Connect analytics", "install tracking", "funnel", "attribution", or "how is my app performing". For A/B testing, see ab-test-store-listing. For retention metrics, see retention-optimization.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Marketing & SEO, covering App store release, A/B testing and Product analytics. It works with App Store Connect. The repository describes itself as: AI agent skills for App Store Optimization (ASO) and app marketing. Built for indie developers, app marketers, and growth teams who want Cursor, Claude Code, or any Agent… The licence is MIT.

When your agent uses it

  • Wants to set up
  • Improve their app analytics and tracking
  • The user mentions analytics
  • App Store Connect analytics

Example prompts

  • “analytics”
  • “tracking”
  • “metrics”
  • “/app-analytics”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Check for app-marketing-context.md — read it for context
  2. Ask: What analytics tools do you currently use?
  3. Ask: What are your top 3 questions about your app's performance?
  4. Ask: What decisions do you need data to make?
  5. Ask: Do you run paid acquisition? (attribution matters)

What it can do on your machine

Read from SKILL.md and the folder at commit 3919d7c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

App Analytics loads about 1.6k tokens when it runs. Until then it costs about 95 tokens; SKILL.md has 524 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~95
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from appeeky/aso-skills at commit 3919d7c, republished under its MIT licence (© appeeky). 524 words, ~1,636 tokens.

Download SKILL.mdSave it as .claude/skills/app-analytics/SKILL.md (or your agent's skills folder).
name
app-analytics
description
When the user wants to set up, interpret, or improve their app analytics and tracking. Also use when the user mentions "analytics", "tracking", "metrics", "KPIs", "App Store Connect analytics", "install tracking", "funnel", "attribution", or "how is my app performing". For A/B testing, see ab-test-store-listing. For retention metrics, see retention-optimization.
metadata.version
1.0.0

App Analytics

You are an expert in mobile app analytics and measurement strategy. Your goal is to help the user set up meaningful tracking, interpret their data, and make data-driven decisions.

Initial Assessment

  1. Check for app-marketing-context.md — read it for context
  2. Ask: What analytics tools do you currently use?
  3. Ask: What are your top 3 questions about your app's performance?
  4. Ask: What decisions do you need data to make?
  5. Ask: Do you run paid acquisition? (attribution matters)

Analytics Stack

Essential Tools
ToolPurposeCostPriority
App Store ConnectStore metrics, downloads, conversionFreeMust have
Firebase AnalyticsIn-app events, funnels, audiencesFreeMust have
Mixpanel / AmplitudeProduct analytics, cohorts, funnelsFree tierRecommended
RevenueCatSubscription analytics, paywall testingFree tierIf subscriptions
Adjust / AppsFlyerAttribution, UA measurementPaidIf running ads
CrashlyticsCrash reporting, stabilityFreeMust have
App Store Connect Analytics

Key metrics available for free:

MetricWhat it tells you
ImpressionsHow many times your app appeared in search/browse
Product Page ViewsHow many users visited your product page
App UnitsFirst-time downloads
Conversion RateProduct Page Views → Downloads
ProceedsRevenue after Apple's cut
SessionsApp opens
Active DevicesUnique devices using the app
RetentionDay 1, Day 7, Day 28 retention
Crash RateCrashes per session

Source types:

  • App Store Search
  • App Store Browse
  • Web Referral
  • App Referral

Key Metrics Framework

Acquisition Metrics
MetricFormulaWhat it means
Impressions—Visibility in App Store
Tap-Through RateTaps / ImpressionsIcon + title effectiveness
Conversion RateDownloads / Page ViewsProduct page effectiveness
CPIAd Spend / InstallsCost efficiency of paid UA
Organic %Organic / Total InstallsHealth of organic growth
Engagement Metrics
MetricFormulaWhat it means
DAUDaily Active UsersDaily engagement
MAUMonthly Active UsersMonthly reach
DAU/MAUDAU / MAUStickiness (>20% is good)
Sessions/UserTotal Sessions / DAUEngagement depth
Session LengthAvg time per sessionValue delivery
Show full SKILL.md (212 more words)Show less
Retention Metrics
MetricFormulaBenchmark
Day 1Users Day 1 / Installs25-40%
Day 7Users Day 7 / Installs10-20%
Day 30Users Day 30 / Installs5-10%
Churn RateLost Users / Start Users< 5% monthly (subscriptions)
Revenue Metrics
MetricFormulaWhat it means
ARPURevenue / All UsersAverage revenue per user
ARPPURevenue / Paying UsersPaying user value
LTVARPU × Avg LifetimeTotal user value
Trial-to-PaidConversions / Trial StartsPaywall effectiveness
MRRMonthly Recurring RevenueSubscription health
Churn RevenueLost MRR / Start MRRRevenue retention

Event Tracking Plan

Core Events (track these minimum)
# Onboarding
onboarding_started
onboarding_step_completed (step_name, step_number)
onboarding_completed
onboarding_skipped

# Core Actions
[primary_action]_started
[primary_action]_completed
[primary_action]_failed (error_type)

# Monetization
paywall_viewed (source, variant)
trial_started (plan, source)
purchase_completed (plan, price, source)
purchase_failed (error_type)
subscription_renewed
subscription_cancelled (reason)

# Engagement
session_started (source)
feature_used (feature_name)
content_viewed (content_type, content_id)
share_tapped (content_type)
notification_received (type)
notification_tapped (type)

# Settings
settings_changed (setting_name, old_value, new_value)
notification_permission (granted: boolean)
Event Naming Conventions
  • Use snake_case
  • Format: [object]_[action] (e.g., photo_saved, workout_completed)
  • Be specific but not too granular
  • Include relevant properties (but not PII)
  • Consistent across platforms

Dashboard Setup

Executive Dashboard (check weekly)
┌─────────────────────────────────────────────┐
│  Weekly Summary                              │
├──────────────┬──────────────┬───────────────┤
│  Downloads   │  Revenue     │  DAU          │
│  [N] (+X%)   │  $[N] (+X%)  │  [N] (+X%)    │
├──────────────┼──────────────┼───────────────┤
│  Conversion  │  D1 Retention│  Rating       │
│  [X]% (+X%)  │  [X]% (+X%)  │  [X.X] ★      │
└──────────────┴──────────────┴───────────────┘
Funnel Dashboard (check daily)
Impressions → Page Views → Downloads → Activation → Purchase
   [N]          [N]          [N]          [N]          [N]
        [X]%         [X]%         [X]%          [X]%
Cohort Dashboard (check monthly)

Retention curves by:

  • Install date cohort
  • Acquisition source
  • Country
  • Subscription plan

Output Format

Analytics Audit
Current State:
- Tools in use: [list]
- Events tracked: [N]
- Key gaps: [list]

Recommendations:
1. [tracking gap to fix]
2. [metric to start monitoring]
3. [dashboard to create]
Tracking Plan

Provide a complete event tracking plan with:

  • Event name
  • When it fires
  • Properties to include
  • Which tool tracks it
Metric Interpretation

When the user shares data, provide:

  • How their metrics compare to benchmarks
  • What the trends indicate
  • Specific actions to take based on the data
  • ab-test-store-listing — Measure test results
  • retention-optimization — Interpret retention data
  • monetization-strategy — Revenue metric optimization
  • ua-campaign — Attribution and UA metrics

© appeeky, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/app-analytics of appeeky/aso-skills.

Open the folder on GitHubat commit 3919d7c

Compare with similar skills

App Analytics next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

App Analytics compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
App Analytics this skillappeeky/aso-skills2.1k—~1.6kAutomated safety check: PassMIT
AnalyticsNexus-JPF/note-companion8696 repos~2.2kAutomated safety check: PassMIT
Openaso Asohubab1/OpenASO177—~946Automated safety check: PassMIT
Ab Testingericrisco/rsc-harness156—~2.4kAutomated safety check: PassMIT
Analytics Interpretationgustavscirulis/snapgrid1171 repos~4.1kAutomated safety check: PassCustom licence
Analytics Reportingseb1n/awesome-ai-agent-skills206—~2.7kAutomated safety check: PassMIT

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Questions about App Analytics

What does App Analytics do?

When the user wants to set up, interpret, or improve their app analytics and tracking. App Analytics is an agent skill from appeeky/aso-skills. When the user wants to set up, interpret, or improve their app analytics and tracking.

When should I use App Analytics?

App Analytics fits situations like: wants to set up; improve their app analytics and tracking; the user mentions analytics; app Store Connect analytics.

How do I install App Analytics in Claude Code?

Run `npx skills add appeeky/aso-skills --skill app-analytics -a claude-code`. Or copy the skill folder (skills/app-analytics in appeeky/aso-skills) into .claude/skills/app-analytics in your project. Claude Code loads it when a task matches its description.

How do I install App Analytics in Codex?

Run `npx skills add appeeky/aso-skills --skill app-analytics -a codex`. Or copy the skill folder (skills/app-analytics in appeeky/aso-skills) into .agents/skills/app-analytics in your project. Codex loads it when a task matches its description.

Can I use App Analytics in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add appeeky/aso-skills --skill app-analytics -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/app-analytics, .gemini/skills/app-analytics, .github/skills/app-analytics and .opencode/skills/app-analytics in your project.

What does App Analytics need to run?

SKILL.md names no scripts, command-line tools or credentials: App Analytics is instructions for the agent only.

Does App Analytics access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is App Analytics safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does App Analytics use?

App Analytics is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does App Analytics use?

About 1.6k tokens (SKILL.md is roughly 6.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to App Analytics?

Skills that share tags, products or a category with App Analytics: Analytics (Nexus-JPF/note-companion, 869 stars), Openaso Aso (hubab1/OpenASO, 177 stars), Ab Testing (ericrisco/rsc-harness, 156 stars) and Analytics Interpretation (gustavscirulis/snapgrid, 117 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains App Analytics?

appeeky (a GitHub organization) maintains it in appeeky/aso-skills, which has 2,149 GitHub stars. The repository holds 39 skills in this directory. The repository was last updated on October 6, 2026.

Source: appeeky/aso-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.