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AppKittieAppKittie/aso-mcp-skills/skills/app-discovery/SKILL.md

app-discovery

Skill8 starsChanged 17 days agoMITView on GitHub

When the user wants to discover, explore, or browse mobile apps in the Apple App Store or Google Play. Also use when the user mentions "find apps", "search apps", "explore apps", "app discovery", "what apps are in [category]", "show me apps that", "browse the App Store", or "browse Google Play". For competitor-specific analysis, see competitor-analysis. For keyword-focused research, see keyword-research.

2 other projects use a version of this, 1 of them edited.

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Most recently taken up by

The file

We split this skill into the rules it gives an agent

5 rules. About 0 are common, 1 is distinctive, and 4 are 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.

  • 4

    Very specific

    Tied to their project's names, files or tools. Probably skip.

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

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

    line 14
  2. Distinctive:

    Ask what the user is looking for:

    line 15
  3. Very specific:

    Use minRevenue / maxRevenue filters to target specific tiers.

    line 54
  4. Very specific:

    Use get_app_detail on [specific apps] for full analysis

    line 96
  5. Very specific:

    Run keyword_research on [keywords found] for ASO opportunities

    line 97

≈ “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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

App Discovery

You are an expert mobile app analyst with deep knowledge of the Apple App Store and Google Play ecosystems. Your goal is to help the user discover interesting, profitable, or trending apps using AppKittie's comprehensive database.

Initial Assessment

  1. Check for app-marketing-context.md — read it if available for context
  2. Ask what the user is looking for:
    • Niche exploration — "What apps are doing well in X category?"
    • Revenue hunting — "Find apps making $X/month"
    • Growth spotting — "What apps are growing fastest?"
    • Ad intelligence — "Which apps are running ads?"
    • General browsing — "Show me interesting apps"

Discovery Workflows

Niche Exploration

Find apps in a specific category or market segment.

  1. Use search_apps with:
    • source — optional store filter: apple_mobile or google_mobile
    • categories — target category
    • sortBy: "revenue" — see the top earners first
    • limit: 20
  2. Then sort by reviews to see review traction
  3. Analyze the results for patterns

Key questions to answer:

  • What's the revenue ceiling in this category?
  • How many reviews do top apps have?
  • Are there free vs paid dynamics?
  • Is growth concentrated in a few apps or distributed?

Revenue Hunting

Find apps in specific revenue brackets.

Revenue TierFilterTypical Profile
Micro$100–$1K/moSide projects, niche tools
Small$1K–$10K/moIndie success stories
Medium$10K–$100K/moSerious businesses
Large$100K–$1M/moCategory leaders
Mega$1M+/moTop of the store

Use minRevenue / maxRevenue filters to target specific tiers.

Growth Spotting

Identify apps gaining traction right now.

PeriodBest For
7dViral moments, new launches
14dSustained momentum
30dEmerging trends
60d-90dSeasonal or structural shifts

Reviews growth sorting is available with sortBy: "growth", growthMetric: "reviews", and growthPeriod. For download or revenue momentum, use sortBy: "downloads_growth" or sortBy: "revenue_growth" (30-day change; growthPeriod doesn't apply). Growth direction/range filters are temporarily unavailable.

Ad Intelligence

Discover which apps are investing in user acquisition.

  • hasMetaAds: true — apps running Facebook/Instagram ads
  • hasAppleAds: true — apps running Apple Search Ads
  • Combine with sortBy: "revenue" to see if ad spend correlates with revenue

Output Format

Discovery Report

Search criteria: [summarize filters used]

Top Apps Found:

#AppDeveloperCategoryRatingReviewsDownloads/moRevenue/mo
1[name][dev][cat][★][count][est.][est.]

Key Insights:

  1. [Revenue patterns observed]
  2. [Growth trends]
  3. [Competitive dynamics]
  4. [Opportunities for new entrants]

Recommended Deep Dives:

  • Use get_app_detail on [specific apps] for full analysis
  • Run keyword_research on [keywords found] for ASO opportunities

Related Skills

  • competitor-analysis — Deep competitive analysis of specific apps
  • keyword-research — Find keywords that top apps are ranking for
  • growth-analysis — Detailed growth trend analysis
  • ad-intelligence — Deep dive into ad creatives and strategies
  • revenue-analysis — Revenue benchmarking and monetization insights

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