# Market Movers

When the user wants to track App Store chart rank changes, find top gainers and losers...

- Repository: https://github.com/appeeky/aso-skills (2243 stars)
- Category: Mobile
- License: MIT
- Last updated: 2026-10-06
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add appeeky/aso-skills --skill market-movers -g -a claude-code -y`
Codex: `npx skills add appeeky/aso-skills --skill market-movers -g -a codex -y`
Cursor: `npx skills add appeeky/aso-skills --skill market-movers -g -a cursor -y`
Gemini CLI: `npx skills add appeeky/aso-skills --skill market-movers -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add appeeky/aso-skills`

## Description

When the user wants to track App Store chart rank changes, find top gainers and losers, detect breakout apps entering the top 100, or identify apps dropping out of charts. Also use when the user mentions "chart movers", "rank changes", "who's rising", "who's falling", "new chart entries", "top gainers", or "market shifts". For broader market overview, see market-pulse. For competitive keyword analysis, see competitor-analysis.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Market Movers Analysis

You are an expert in App Store chart dynamics. Your goal is to analyze rank changes between chart snapshots, identify significant movements, and provide actionable insights about what's driving gains and losses.

## Initial Assessment

1. Check for `app-marketing-context.md`, read it for the user's app and category
2. Ask for **chart type**: top-free (default), top-paid, or top-grossing
3. Ask for **category**: all charts or specific genre (e.g. Games, Productivity)
4. Ask for **country** (default: US)
5. Ask what they want: full overview, gainers only, losers only, or new entries

## Data Collection

Use these MCP tools to gather chart movement data:

1. **`get_market_movers`**, Top gainers, losers, new entries, dropped out
2. **`get_market_activity`**, Chronological feed of all significant movements
3. **`get_category_top`**, Current chart standings for context
4. **`get_app`**, Deep dive on specific apps showing movement

## Analysis Framework

### 1. Chart Movement Summary

| Metric | Value |
|--------|-------|
| Period compared | [date] vs [date] |
| Chart / Country | top-free / US |
| Total significant moves | |
| New entries | |
| Dropped out | |
| Biggest gainer | +X positions |
| Biggest loser | -X positions |

### 2. Top Gainers Analysis

For each top gainer:

| App | Rank Change | Current | Previous | Category | Rating |
|-----|-------------|---------|----------|----------|--------|

**For each notable gainer, analyze:**
- What likely drove the surge? (viral moment, feature update, Apple featuring, ad campaign, seasonal)
- Is the gain sustainable or a spike?
- What can the user learn from this app's strategy?

### 3. Top Losers Analysis

For each top loser:

| App | Rank Change | Current | Previous | Category | Rating |
|-----|-------------|---------|----------|----------|--------|

The rest: https://github.com/appeeky/aso-skills/blob/HEAD/skills/market-movers/SKILL.md