# App Discovery

> 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.

- Skill: `appkittie/app-discovery` (Agent Skill)
- Install (CLI): `npx skillmds@latest add appkittie/app-discovery`
- Raw SKILL.md: https://api.skillmd.com/api/skills/appkittie/app-discovery/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Product & Planning
- Author: AppKittie (https://skillmd.com/u/appkittie)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/appkittie/app-discovery

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# 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 Tier | Filter | Typical Profile |
|-------------|--------|-----------------|
| Micro | $100–$1K/mo | Side projects, niche tools |
| Small | $1K–$10K/mo | Indie success stories |
| Medium | $10K–$100K/mo | Serious businesses |
| Large | $100K–$1M/mo | Category leaders |
| Mega | $1M+/mo | Top of the store |

Use `minRevenue` / `maxRevenue` filters to target specific tiers.

### Growth Spotting

Identify apps gaining traction right now.

| Period | Best For |
|--------|----------|
| 7d | Viral moments, new launches |
| 14d | Sustained momentum |
| 30d | Emerging trends |
| 60d-90d | Seasonal or structural shifts |

Reviews growth sorting is available with `sortBy: "growth"`, `growthMetric: "reviews"`, and `growthPeriod`. 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:**

| # | App | Developer | Category | Rating | Reviews | Downloads/mo | Revenue/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