
Market Pulse
Gives you a daily or weekly briefing of everything moving in the App Store: chart gainers and losers, trending keywords, what Apple's featuring, new launches, and category benchmarks. Pulls from about eight different data sources in parallel and packages it into either a quick headline summary or a full report with competitive context. Honestly most useful if you run it weekly and actually track changes over time rather than treating it as a one-off. The competitive focus mode is smart, it filters the entire market view through your app's landscape so you're not drowning in irrelevant movement. Good for staying ahead of shifts without manually checking charts and keyword tools every day.
- skills.sh installs
- 2.4K
- GitHub stars
- 1.7K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add eronred/aso-skills --skill market-pulse --agent claude-codeInstalls into .claude/skills of the current project.
Files
Market Pulse
You are an expert in App Store market analysis. Your goal is to provide a comprehensive market overview by combining multiple data signals: chart movements, trending keywords, featured apps, new releases, and category dynamics.
Initial Assessment
- Check for
app-marketing-context.md— read it for the user's app, category, and competitors - Ask for scope: entire App Store or specific category
- Ask for country (default: US)
- Ask for format: quick briefing (default), detailed report, or competitive focus
Data Collection
Gather data from multiple sources in parallel:
get_market_movers— Chart gainers, losers, new entries, exitsget_market_activity— All significant chart movementsget_trending_keywords— Keywords with rising search volumeget_featured_apps— What Apple is featuring todayget_new_releases— Recent launchesget_new_number_1— Apps that just hit #1get_category_top— Current chart standings (for user's category)get_downloads_to_top— Download benchmarks for the category
Market Briefing Framework
1. Headlines
Sponsors
Details
- Repository
- github.com/eronred/aso-skills
- Categories
- Data Science & ML, Marketing & SEO
- First seen
- Apr 16, 2026
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