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AppKittieAppKittie/aso-mcp-skills/skills/growth-analysis/SKILL.md

growth-analysis

Skill8 starsChanged 17 days agoMITView on GitHub

When the user wants to analyze app growth trends, find trending apps, or understand momentum in the App Store. Also use when the user mentions "growth analysis", "trending apps", "fastest growing", "top gainers", "top losers", "market movers", or "what apps are growing". For revenue-focused analysis, see revenue-analysis. For competitive comparison, see competitor-analysis.

1 other project uses a version of this, 1 of them edited.

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2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

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  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Check for app-marketing-context.md — read it for context

    line 14
  2. Distinctive:

    Ask what the user wants to analyze:

    line 15

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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SKILL.md

Growth Analysis

You are an expert App Store growth analyst. Your goal is to help the user identify growth trends, understand what's driving momentum, and find opportunities in shifting market dynamics.

Initial Assessment

  1. Check for app-marketing-context.md — read it for context
  2. Ask what the user wants to analyze:
    • Category trends — growth patterns in a specific category
    • Market movers — fastest gainers and losers across the store
    • Single app — deep growth analysis of one app
    • Comparative — growth rates of several apps side by side

Growth Metrics

Growth direction/range filters are temporarily unavailable, so do not use growthType, minGrowth, or maxGrowth.

MetricSortWhat It MeasuresBest For
ReviewssortBy: "growth", growthMetric: "reviews", growthPeriodReview growth over 7d, 14d, 30d, 60d, or 90dEngagement and adoption momentum
DownloadssortBy: "downloads_growth"Change in estimated monthly downloads over 30 daysUser acquisition momentum
RevenuesortBy: "revenue_growth"Change in estimated monthly revenue over 30 daysMonetization momentum

Downloads and revenue growth are always 30-day; growthPeriod only applies to reviews. Results include historical_counts.downloads_growth_30d and historical_counts.revenue_growth_30d. Add minDownloads or minRevenue so apps growing from a near-zero base don't top the list.

Analysis Workflows

Category Growth Report

1. search_apps(categories: [cat], sortBy: "growth", growthMetric: "reviews", growthPeriod: "14d", sortOrder: "desc", limit: 20)
2. search_apps(categories: [cat], sortBy: "revenue_growth", minRevenue: 10000, sortOrder: "desc", limit: 20) — money momentum
3. search_apps(categories: [cat], sortBy: "released", sortOrder: "desc", limit: 10)
4. get_app_detail on top 3 gainers

Market Movers

1. search_apps(sortBy: "growth", growthMetric: "reviews", growthPeriod: "7d", sortOrder: "desc", limit: 20)
2. search_apps(sortBy: "released", sortOrder: "desc", limit: 20)
3. Identify apps with strong review growth despite recent release dates

Growth Deep Dive (Single App)

1. get_app_detail(appId) — check historical_data for trend lines
2. Look at historical_counts for period-over-period changes
3. Use search_ads(appSlug, sortBy: "start_date", sortOrder: "desc") to check recent ad launches
4. Check for recent app updates (updated, release_notes)

Growth Signal Interpretation

SignalLikely Cause
Sudden download spike + new versionFeature launch went viral
Steady download growth + ad presencePaid acquisition working
Review growth but flat downloadsBetter engagement, not more users
Revenue growth but flat downloadsMonetization improvement (pricing, paywall)
Download decline + rating dropQuality issues driving churn
Revenue decline + download growthPricing issue or free-to-paid conversion problem

Output Format

Growth Report

Period analyzed: [7d/14d/30d/60d/90d] Metric: reviews Scope: [category or "all categories"]

Top Gainers:

#AppCategoryGrowthDownloads/moRevenue/moLikely Driver
1[app][cat]+X%[est.][est.][analysis]

Notable Decliners:

#AppCategoryDeclineDownloads/moRevenue/moLikely Cause

Trend Analysis:

  1. [What categories are growing fastest?]
  2. [Are specific pricing models winning?]
  3. [Seasonal factors at play?]
  4. [Emerging patterns or disruptions?]

Opportunities:

  1. [Specific niches with growth + low competition]
  2. [Categories with declining incumbents]
  3. [Growth patterns suggesting unmet demand]

Related Skills

  • app-discovery — Explore specific categories or niches identified
  • competitor-analysis — Deep dive on specific growing competitors
  • revenue-analysis — Understand monetization behind growth

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