Eronred market pulse
Skill JordanCoin/ios-skills-collection/skills/eronred--market-pulse
When the user wants a comprehensive App Store market overview, daily/weekly market briefing, or combined view of chart movements, trending keywords, featured apps, and new releases. Also use when the user mentions "market overview", "what's happening on the App Store", "market briefing", "weekly report", "market trends", or "state of the market". For chart-specific rank changes only, see market-movers. For keyword trends only, see keyword-research.From its SKILL.md
npx -y skills add JordanCoin/ios-skills-collection --skill eronred--market-pulseAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
- 4 stars4 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
5.3 KB, ~1.2k tokens by cl100k_base, as published. Nobody here has run it
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
Top 3-5 most important market events right now:
- [Most significant movement] — e.g. "New social app enters top 5 free"
- [Featuring impact] — e.g. "Apple featuring Health & Fitness apps this week"
- [Keyword shift] — e.g. "'AI photo editor' search volume surging +340%"
- [New threat/opportunity] — e.g. "Three new meditation apps launched this week"
2. Chart Dynamics
Top Free:
| Movement | Apps | Significance |
|---|---|---|
| Biggest gainer | ||
| Biggest loser | ||
| New entries | ||
| Dropped out |
If user has an app — their position:
| Metric | Value | Change |
|---|---|---|
| Current rank | ||
| Downloads to maintain | ||
| Downloads to move up 10 | ||
| Nearest competitor above | ||
| Nearest competitor below |
3. Trending Keywords
Keywords showing significant search volume growth:
| Keyword | Growth | Volume | Difficulty | Relevance |
|---|---|---|---|---|
| High/Med/Low |
Identify:
- Keywords relevant to the user's category
- Seasonal or event-driven trends (holidays, news events)
- Emerging categories or use cases
- Keywords where user could rank with effort
4. Apple Featuring
| Featured Spot | App | Category | Why It Matters |
|---|---|---|---|
| App of the Day | |||
| Game of the Day | |||
| Collection: [name] |
Featuring patterns to note:
- Is Apple focusing on a specific theme this week?
- Are competitors being featured?
- Does the user's app fit any current featuring theme?
5. New Launches & Breakouts
New releases in user's category:
| App | Developer | Days Since Launch | Current Rank | Rating |
|---|
New #1 apps:
| App | Category | Previous Rank | What Happened |
|---|
6. Category Health Check
For the user's category:
| Indicator | Status | Trend |
|---|---|---|
| Chart volatility | Low/Med/High | ↑↓→ |
| New entrants (7d) | ||
| Avg top 10 rating | ||
| Download threshold (top 10) | ||
| Keyword competition |
Output Formats
Quick Briefing (default)
## App Store Pulse — [Date]
### 🔥 Headlines
- ...
### 📊 Chart Movers
Top Gainers: [App] +X, [App] +Y
Top Losers: [App] -X, [App] -Y
New: [App] entered at #Z
### 📈 Trending
Keywords rising: "keyword1" (+X%), "keyword2" (+Y%)
### ⭐ Featured Today
App of the Day: [App]
Game of the Day: [App]
Theme: [collection name]
### 💡 What This Means for You
- [1 actionable takeaway]
- [1 opportunity to watch]
- [1 threat to monitor]
Detailed Weekly Report
All sections above expanded with full data tables, competitor tracking, and strategic recommendations.
Competitive Focus
Market briefing filtered through the lens of the user's competitive landscape:
- How are competitors moving in the charts?
- Are competitors' keywords trending?
- Is any competitor being featured?
- New competitive threats from launches?
Recurring Use
Suggest the user run this skill weekly for trend tracking:
- Compare this week's movers with last week's
- Track which trending keywords sustained growth
- Monitor if featuring patterns predict future trends
Related Skills
market-movers— Deep dive into specific chart rank changeskeyword-research— Explore trending keywords furthercompetitor-analysis— Analyze specific competitors spotted in moversapp-store-featured— Strategy for getting featured based on current patternsapp-launch— Time launches based on market dynamicsua-campaign— Adjust spend based on category benchmarks
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.
Gives 0 of the 12 instructions most docs writing skills give in ~1.2k tokens
Counted across 1,637 of the 3,044 authors here whose files we hold, read 2026-08-07
- Announce the skill at startin 54 of 1637, across 26 files
- Convert legacy doc files before editingin 45 of 1637, across 7 files
- Predict questions readers might askin 42 of 1637, across 4 files
- Generate clarifying questions for initial contextin 42 of 1637, across 3 files
- Create document scaffold with placeholder textin 42 of 1637, across 3 files
- Brainstorm content options for each sectionin 42 of 1637, across 3 files
- Test the document with a fresh context-less instancein 42 of 1637, across 3 files
- Include exact file paths in every taskin 42 of 1637, across 15 files
- Ask interview questions one at a timein 42 of 1637, across 27 files
- Apply surgical edits during refinementin 41 of 1637, across 2 files
- Offer structured workflow or freeformin 40 of 1637, across 1 file
- Ask for document meta-contextin 40 of 1637, across 2 files
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.