market-movers
Skill2.2k starsChanged 9 months agoMITView on GitHub
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.
3 other projects use a version of this.
Trending
Quiet since March.thin dataabout the whole repository
Most recently taken up by
- krzysu/market-skillstheir own version, first seen Jul 16, 2026
- appeeky/aso-skillsword for word, first seen Feb 27, 2026
- Kungfookenny123/aso-skillsword for word, first seen Feb 27, 2026
Who's talking about Eronred/aso-skills
The biggest 1 of 1 mention linking to the repository that our crawl found. Each line is their own headline.
Other versions3 projects use a version of this.
Word for word · 2
- appeeky/aso-skills★ 2.2k100% same
- Kungfookenny123/aso-skills★ 2100% same
Edited · 0
None found.
Wrote their own version · 1
- krzysu/market-skills★ 3same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository41 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .claude/CLAUDE.mdCLAUDE.md
- ab-test-store-listingSkill
- android-asoSkill
- app-analyticsSkill
- app-clipsSkill
- app-icon-optimizationSkill
- app-launchSkill
- apple-search-adsSkill
- app-marketing-contextSkill
- app-preview-videoSkill
- app-rejection-recoverySkill
- app-store-featuredSkill
- asc-metricsSkill
- aso-auditSkill
- aso-routerSkill
- attribution-setupSkill
- category-positioningSkill
- competitor-analysisSkill
- competitor-trackingSkill
- crash-analyticsSkill
- creator-ugc-marketingSkill
- custom-product-pagesSkill
- in-app-eventsSkill
- keyword-researchSkill
- localizationSkill
- market-pulseSkill
- metadata-optimizationSkill
- monetization-strategySkill
- onboarding-optimizationSkill
- paywall-optimizationSkill
- press-and-prSkill
- rating-prompt-strategySkill
- referral-programSkill
- retention-optimizationSkill
- review-managementSkill
- screenshot-optimizationSkill
- seasonal-asoSkill
- subscription-lifecycleSkill
- ua-campaignSkill
- web-to-app-funnelSkill
The file
We split this skill into the rules it gives an agent
7 rules. About 0 are common, 6 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈6
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 14
Check for app-marketing-context.md — read it for the user's app and category
- Distinctive: line 15
Ask for chart type: top-free (default), top-paid, or top-grossing
- Distinctive: line 16
Ask for category: all charts or specific genre (e.g.
- Distinctive: line 17
Ask for country (default: US)
- Distinctive: line 18
Ask what they want: full overview, gainers only, losers only, or new entries
- Distinctive: line 22
Use these MCP tools to gather chart movement data:
- Distinctive: line 88
If analyzing a specific genre:
≈ “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.
Files
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
- Check for
app-marketing-context.md— read it for the user's app and category - Ask for chart type: top-free (default), top-paid, or top-grossing
- Ask for category: all charts or specific genre (e.g. Games, Productivity)
- Ask for country (default: US)
- Ask what they want: full overview, gainers only, losers only, or new entries
Data Collection
Use these MCP tools to gather chart movement data:
get_market_movers— Top gainers, losers, new entries, dropped outget_market_activity— Chronological feed of all significant movementsget_category_top— Current chart standings for contextget_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 |
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:
| App | Entered At | Category | Rating | Reviews |
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:
| App | Previous Rank | Category | Rating |
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:
- Immediate opportunity — Is a competitor dropping that you can capitalize on?
- Threat assessment — Is a new entrant competing for your audience?
- Timing insight — Is the category trending up or down overall?
- Strategy takeaway — What are gainers doing that you could replicate?
Recommendations Table
| Priority | Action | Why | Expected 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 #89Related Skills
market-pulse— Broader market overview combining movers with trends and featuringcompetitor-analysis— Deep dive into specific competitors identified from moversapp-launch— Use market timing insights for launch planningua-campaign— Adjust ad spend based on chart dynamicsapp-store-featured— Check if featuring is driving observed movements
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

