Agent skill

Market Movers

by appeeky in appeeky/aso-skills

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.

MITAuto-check passedMarketing & SEO

Install Market Movers

skills CLI
$ npx skills add appeeky/aso-skills --skill market-movers -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install appeeky/aso-skills market-movers --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/appeeky/aso-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/market-movers .claude/skills/market-movers && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
market-movers
GitHub stars
2.2k
Token cost
~1.2k tokens
SKILL.md length
511 words
Files
1
Skills in repo
39
Repo updated
First seen
Licence
MIT

At a glance

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.

  • Works in 6 steps: Chart Movement Summary → Top Gainers Analysis → Top Losers Analysis → …
  • Wants to track App Store chart rank changes
  • SKILL.md covers Initial Assessment, Data Collection, Analysis Framework and Actionable Insights, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Market Movers is an agent skill from appeeky/aso-skills. 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.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Marketing & SEO, covering App store release and Competitor analysis. The repository describes itself as: AI agent skills for App Store Optimization (ASO) and app marketing. Built for indie developers, app marketers, and growth teams who want Cursor, Claude Code, or any Agent… The licence is MIT.

When your agent uses it

  • Wants to track App Store chart rank changes
  • Find top gainers and losers
  • Detect breakout apps entering the top 100
  • Identify apps dropping out of charts

Example prompts

  • “chart movers”
  • “rank changes”
  • “s rising”
  • “/market-movers”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Chart Movement Summary
  2. Top Gainers Analysis
  3. Top Losers Analysis
  4. New Chart Entries
  5. Dropped Out
  6. Category-Specific Patterns

What it can do on your machine

Read from SKILL.md and the folder at commit 3919d7c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Market Movers loads about 1.2k tokens when it runs. Until then it costs about 111 tokens; SKILL.md has 511 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~111
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from appeeky/aso-skills at commit 3919d7c, republished under its MIT licence (© appeeky). 511 words, ~1,167 tokens.

Download SKILL.mdSave it as .claude/skills/market-movers/SKILL.md (or your agent's skills folder).
name
market-movers
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.
metadata.version
1.0.0

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?
Show full SKILL.md (200 more words)Show less
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
  • 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

© appeeky, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/market-movers of appeeky/aso-skills.

Open the folder on GitHubat commit 3919d7c

Compare with similar skills

Market Movers next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Market Movers compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Market Movers this skillappeeky/aso-skills2.2k—~1.2kAutomated safety check: PassMIT
Competitor Analysismrzmyr/pixy-mood-tracker-app153—~1.4kAutomated safety check: PassMIT
Competitive Teardownalirezarezvani/claude-skills28k1 repos~2.1kAutomated safety check: PassMIT
SEO Content Brief GeneratorAgriciDaniel/claude-seo19k2 repos~2.6kAutomated safety check: PassMIT
App Store Optimizationalirezarezvani/claude-code-skill-factory8828 repos~4.1kAutomated safety check: PassMIT
SEO DataforseoAgriciDaniel/codex-seo7992 repos~4.6kAutomated safety check: PassMIT

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Questions about Market Movers

What does Market Movers 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. Market Movers is an agent skill from appeeky/aso-skills. 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.

When should I use Market Movers?

Market Movers fits situations like: wants to track App Store chart rank changes; find top gainers and losers; detect breakout apps entering the top 100; identify apps dropping out of charts.

How do I install Market Movers in Claude Code?

Run `npx skills add appeeky/aso-skills --skill market-movers -a claude-code`. Or copy the skill folder (skills/market-movers in appeeky/aso-skills) into .claude/skills/market-movers in your project. Claude Code loads it when a task matches its description.

How do I install Market Movers in Codex?

Run `npx skills add appeeky/aso-skills --skill market-movers -a codex`. Or copy the skill folder (skills/market-movers in appeeky/aso-skills) into .agents/skills/market-movers in your project. Codex loads it when a task matches its description.

Can I use Market Movers in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add appeeky/aso-skills --skill market-movers -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/market-movers, .gemini/skills/market-movers, .github/skills/market-movers and .opencode/skills/market-movers in your project.

What does Market Movers need to run?

SKILL.md names no scripts, command-line tools or credentials: Market Movers is instructions for the agent only.

Does Market Movers access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Market Movers safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Market Movers use?

Market Movers is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Market Movers use?

About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Market Movers?

Skills that share tags, products or a category with Market Movers: Competitor Analysis (mrzmyr/pixy-mood-tracker-app, 153 stars), Competitive Teardown (alirezarezvani/claude-skills, 28k stars), SEO Content Brief Generator (AgriciDaniel/claude-seo, 19k stars) and App Store Optimization (alirezarezvani/claude-code-skill-factory, 882 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Market Movers?

appeeky (a GitHub organization) maintains it in appeeky/aso-skills, which has 2,163 GitHub stars. The repository holds 39 skills in this directory. The repository was last updated on October 6, 2026.

Source: appeeky/aso-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.