Market Movers logo

Market Movers

CommunityPopular
Eronred
market-movers

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.

Overview

PublisherEronred
Repositoryaso-skills
Skill namemarket-movers
Stars
1.9K
Forks
116
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Eronred on GitHub. Read the source before you install it.

Installation

Install the Market Movers AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Eronred/aso-skills.git /tmp/aso-skills
mkdir -p .claude/skills
cp -r /tmp/aso-skills/skills/market-movers .claude/skills/market-movers
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Market Movers in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Market Movers on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Market Movers is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

MetricValue
Period compared[date] vs [date]
Chart / Countrytop-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:

AppRank ChangeCurrentPreviousCategoryRating

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:

AppRank ChangeCurrentPreviousCategoryRating

For each notable loser, analyze:

  • What might have caused the decline? (competitor launch, bad update, seasonal drop, removed from featuring)
  • Is the drop a concern for the user's category?
  • Does this create an opportunity?

4. New Chart Entries

Apps that appeared in the top 100 for the first time:

AppEntered AtCategoryRatingReviews

Analyze:

  • Is this a new launch or a resurgent app?
  • Does it compete in the user's category?
  • What launch strategy did they likely use?

5. Dropped Out

Apps that fell out of the top 100:

AppPrevious RankCategoryRating

6. Category-Specific Patterns

If analyzing a specific genre:

  • Overall volatility: How many positions shifted on average?
  • Top 10 stability: Are the top spots locked or fluid?
  • Entry barrier: What rank did new entries typically land at?

Actionable Insights

For the User's App

Based on the market movements:

  1. Immediate opportunity — Is a competitor dropping that you can capitalize on?
  2. Threat assessment — Is a new entrant competing for your audience?
  3. Timing insight — Is the category trending up or down overall?
  4. Strategy takeaway — What are gainers doing that you could replicate?

Recommendations Table

PriorityActionWhyExpected Impact
1
2
3

Output Format

Quick Summary (default)

3-5 bullet points with the most important movements and what they mean.

Detailed Report (if requested)

Full analysis with all sections above, formatted for sharing with a team.

Alert Format (for monitoring)

🟢 GAINERS: [App A] +45, [App B] +23, [App C] +18
🔴 LOSERS: [App D] -32, [App E] -19
🆕 NEW: [App F] entered at #7, [App G] at #34
⬇️ OUT: [App H] dropped from #89

Related Skills

  • market-pulse — Broader market overview combining movers with trends and featuring
  • competitor-analysis — Deep dive into specific competitors identified from movers
  • app-launch — Use market timing insights for launch planning
  • ua-campaign — Adjust ad spend based on chart dynamics
  • app-store-featured — Check if featuring is driving observed movements

Frequently asked questions

What does the Market Movers AI skill do?

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.

Why use Market Movers on TypingMind?

Because you install it once and use it with any model. Market Movers is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Market Movers in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Eronred/aso-skills/tree/main/skills/market-movers. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Market Movers?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Market Movers?

As many as you like. As long as a model supports skills, you can use Market Movers with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Market Movers AI skill free?

Yes. It is published on GitHub by Eronred under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇