market-movers
by Eronredmarket-movers helps analyze App Store chart rank changes between snapshots, showing who is rising, who is falling, which apps enter the top 100, and which drop out. Use the market-movers skill for ASO, market research, and competitive monitoring when you need a structured read on chart movement, not just a static ranking.
This skill scores 78/100, which means it is a solid listing candidate for directory users. It gives agents a clear trigger, a defined App Store chart-movement workflow, and named MCP tools to use, so users can judge installation value with reasonable confidence. The main limitation is that it is operationally useful but still somewhat lightweight on supporting assets and edge-case guidance.
- Explicit trigger language covers chart movers, rank changes, gainers/losers, new entries, and drops, which makes correct invocation straightforward.
- Clear operational flow: check app context, ask for chart type/category/country, then use specific tools like get_market_movers and get_market_activity.
- Good install-decision value for App Store monitoring because it is focused on a concrete analysis task rather than generic ranking commentary.
- No support files, scripts, or references are included, so users must rely on the SKILL.md workflow alone.
- The repository excerpt shows no install command and limited constraints, which may leave some ambiguity around exact tool requirements and output expectations.
Overview of market-movers skill
The market-movers skill helps you analyze App Store chart rank changes between snapshots: who is rising, who is falling, which apps are breaking into the top 100, and which ones are dropping out. It is best for ASO, market research, and competitive monitoring when the real job is not just “show me rankings,” but “explain what changed and what deserves attention.”
What market-movers is for
Use market-movers when you need a clear read on chart dynamics across a date range, category, or country. The market-movers skill is useful for spotting momentum, identifying breakout apps, and framing a market update that a product, growth, or research team can act on.
Who should install it
Install this skill if you regularly ask questions like “what moved today?”, “which apps are gaining share?”, or “what changed in Games US top free?” It is especially relevant for analysts doing market-movers for Market Research, because it gives a repeatable way to turn chart noise into a structured summary.
What makes it different
Unlike a generic prompt, market-movers is organized around a fixed analysis flow: first establish the chart context, then collect movement data, then summarize meaningful rank shifts. That structure reduces guesswork and helps keep results tied to actual chart movement rather than broad market commentary.
How to Use market-movers skill
Install and start with the right context
Use the market-movers install flow in your skill environment, then read SKILL.md first. The repo is intentionally lean, so there are no helper scripts or supporting folders to discover. The main value comes from following the prompt logic closely and supplying the chart context the skill expects.
Give it the minimum useful brief
A strong market-movers usage request should include chart type, category, country, and the outcome you want. For example: “Analyze top-free apps in US Games over the last 7 days, show gainers only, and call out any apps entering the top 100.” That is better than “find movers” because it removes ambiguity about chart scope and output shape.
Read the prompt flow before you run it
Start with the Initial Assessment section, then follow the Data Collection and Analysis Framework sections. The key repository file to preview first is SKILL.md, because it defines the questions the skill will ask and the order in which it expects chart data. If your app has a context file such as app-marketing-context.md, supply it early so the analysis can reflect your product and category.
Use a workflow that matches the analysis
A practical market-movers guide is: define the chart slice, pull mover data, compare it with current standings, then ask for interpretation. If you want a concise decision-ready output, request one of these modes explicitly: full overview, gainers only, losers only, or new entries. That keeps the output aligned with how chart movement is actually consumed in market research.
market-movers skill FAQ
What problem does market-movers solve?
It turns App Store rank changes into an organized movement report. Instead of manually comparing chart snapshots, the market-movers skill focuses on significance: who moved, by how much, and what that might mean for the market.
Is market-movers only for app store tracking?
It is designed for App Store chart dynamics, not general web search or broad industry intelligence. If you need a wider market narrative, use a different skill such as market-level analysis; if you need competitive keyword work, use a keyword-focused skill instead.
Do I need to be an ASO expert to use it?
No. The skill is beginner-friendly if you can name the chart type, country, and time window. The main limitation is input quality: vague prompts produce vague chart summaries, while specific prompts produce useful movement analysis.
When should I not use it?
Do not use market-movers when you only need a static top chart list with no change analysis, or when your question is about keyword rankings, creative testing, or conversion rather than chart movement. It is strongest when rank change itself is the decision signal.
How to Improve market-movers skill
Improve the input, not just the output request
The biggest quality gain comes from better chart framing. Instead of “summarize movers,” ask for a specific slice such as “top-grossing US Productivity over the last 3 days, highlight apps with rank jumps of 20+ and note any top 100 entries.” This gives market-movers enough structure to separate signal from routine fluctuation.
Ask for one decision at a time
The skill works best when you choose a single lens: gainers, losers, new entries, or dropped-out apps. Combining every angle into one prompt often makes the output harder to scan and less actionable. If you need more than one view, run a second pass with a narrower request.
Watch for common failure modes
The most common issue is missing context: chart type, category, and country are not optional if you care about precision. Another failure mode is asking for interpretation without data boundaries, which can lead to overgeneralized commentary. Tighten the request, then compare the result against the current chart list for sanity.
Iterate after the first pass
Use the first market-movers usage output to identify the most interesting apps, then ask for a deeper dive on those names with get_app or a follow-up movement analysis. That second step is where market-movers for Market Research becomes more valuable, because you can move from “what changed?” to “why did these apps move?”