market-pulse
Skill5 starsChanged 5 months agoMITView on GitHub
App Store market overview for a category using web search only — competitor movements, trending keywords, Apple featuring, new releases, and category dynamics. No paid API subscriptions required. Use when the user mentions "market pulse", "market check", "what's happening in the App Store", "competitor check", or "category update".
7 other projects use a version of this.
Adopted by
Most recently taken up by
- Shubhamkumartrichy/claude-trading-skills-indiatheir own version, first seen Nov 1, 2026
- makeev/alphai-claude-skillstheir own version, first seen Oct 13, 2026
- mikezamayias/agent-skillstheir own version, first seen Oct 11, 2026
- JustinTSmith/ai-operator-skillstheir own version, first seen Oct 11, 2026
- appeeky/aso-skillstheir own version, first seen Feb 27, 2026
- Eronred/aso-skillstheir own version, first seen Feb 27, 2026
Other versions7 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 7
- appeeky/aso-skills★ 2.2ksame name
- Eronred/aso-skills★ 2.2ksame name
- Shubhamkumartrichy/claude-trading-skills-india★ 56same name
- Kungfookenny123/aso-skills★ 2same name
- makeev/alphai-claude-skills★ 1same name
- mikezamayias/agent-skills★ 1same name
- JustinTSmith/ai-operator-skills★ 0same 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 repository28 other files it gives its agents.
- AGENTS.mdAGENTS.md
- analyze-variationSkill
- arxiv-searchSkill
- blakean-sceneSkill
- codex-reviewSkill
- create-explanationSkill
- critic-loopSkill
- deepen-taskSkill
- deliver-changeSkill
- design-dnaSkill
- gloss-drift-auditSkill
- image-to-sceneSkill
- marketing-claritySkill
- media-kitSkill
- motion-craftSkill
- nextjs-i18n-seoSkill
- oss-licence-auditSkill
- plan-review-loopSkill
- shaughnessy-ichingSkill
- swapping-pptx-templatesSkill
- ui-ux-architectSkill
- unslopSkill
- upgrade-siteSkill
- vercel-build-speedSkill
- verify-changeSkill
- verse-to-promptSkill
- video-to-shortsSkill
- voice-calibrationSkill
The file
We split this skill into the rules it gives an agent
9 rules. 0 are common, 6 are distinctive, and 3 are very specific to this project.
0
Common
Most of the 7 edited versions we read keep these.
6
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 16
Read app-marketing-context.md from the project root for the user's app, category, competitors, and positioning constraints
- Distinctive: line 17
If no context file exists, ask the user for: app name, category, and top 3 competitors
- Distinctive: line 23
Run these web searches in parallel using WebSearch and WebFetch:
- Distinctive: line 47
Search for trends in adjacent categories identified in marketing context
- Distinctive: line 48
Search for regulatory, cultural, or market shifts relevant to the user's positioning
- Distinctive: line 49
Check for seasonal events that could drive category interest (holidays, heritage months, cultural events)
- Very specific: line 118
After presenting the briefing, save a copy to docs/pulse/YYYY-MM-DD.md (using today's date).
- Very specific: line 120
When previous pulse files exist, scan the most recent one and note what changed since last time in a ### Changes Since Last Pulse section …
- Distinctive: line 124
If the marketing context includes positioning constraints (e.g., words to avoid, category framing), respect them in all recommendations.
“Common” is measured: kept by at least 6 in 10 of the 7 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Market Pulse (Web Search Edition)
You are an expert in App Store market analysis. Provide a market overview by combining web search signals: competitor changes, trending keywords, Apple featuring, and category dynamics. No paid subscriptions required.
Setup
- Read
app-marketing-context.mdfrom the project root for the user's app, category, competitors, and positioning constraints - If no context file exists, ask the user for: app name, category, and top 3 competitors
- Default country: US
- Accept an optional argument to narrow scope (e.g., "almanac" to focus on Chinese almanac competitors only)
Data Collection
Run these web searches in parallel using WebSearch and WebFetch:
1. Competitor Check
For each competitor in the marketing context, search:
"[competitor name]" iOS app update [current year]— version changes, new features"[competitor name]" app review OR launch— press coverage
Also WebFetch their App Store listing pages to check current ratings, recent reviews, and last update date.
2. Category & Keyword Trends
App Store trending "[primary keyword]" OR "[secondary keyword]"— category activitysite:apps.apple.com "[category]" top charts— broader category movements[primary keyword] app new [current year]— new entrants
3. Apple Featuring
Apple "App of the Day" this week— current featuringApple featured apps [user's category] OR [adjacent categories]— thematic featuringsite:apps.apple.com/story— recent App Store editorial stories
4. Adjacent Market & Strategic Signals
- Search for trends in adjacent categories identified in marketing context
- Search for regulatory, cultural, or market shifts relevant to the user's positioning
- Check for seasonal events that could drive category interest (holidays, heritage months, cultural events)
5. Own App Mentions
"[app name]" app— press, reviews, mentions"[app website domain]"— backlinks or referencessite:reddit.com "[app name]"— community discussion
Analysis
Headlines
Distill the top 3-5 findings. Prioritize:
- Direct competitor changes (updates, featuring, reviews)
- New entrants in the user's space
- Apple featuring themes relevant to the user's category
- Adjacent market movements
- Strategic signals (regulatory, cultural, seasonal)
Competitor Status
| Competitor | Last Update | Rating | Recent Changes | Threat Level |
Keyword Landscape
| Keyword Area | Activity | Relevance | Opportunity |
| [core keywords] | Rising/Stable/Declining | Core | |
| [adjacent keywords] | Adjacent | ||
| [strategic keywords] | Strategic |
Apple Featuring Patterns
- Current themes Apple is promoting
- Whether the user's category is getting attention
- Seasonal or cultural events Apple might feature around
Output
## App Store Pulse — [Date]
### Headlines
- [Most significant finding]
- [Competitor movement or "No competitor changes detected"]
- [Keyword/category signal]
### Competitor Watch
[1-2 sentences per competitor with changes, or "Stable — no updates detected"]
### Trending
Keywords/topics gaining traction: ...
Keywords/topics declining: ...
### Featuring
[What Apple is featuring and whether it creates an opportunity]
### What This Means for You
- [1 actionable takeaway]
- [1 opportunity to watch]
- [1 threat to monitor, if any]
### Positioning Check
[Any market signals confirming or challenging the user's strategic positioning?]Saving Results
After presenting the briefing, save a copy to docs/pulse/YYYY-MM-DD.md (using today's date). This creates a timestamped log for tracking trends over time. If docs/pulse/ doesn't exist, create it with a short README.md explaining the format and cadence.
When previous pulse files exist, scan the most recent one and note what changed since last time in a ### Changes Since Last Pulse section at the end.
Positioning Guardrails
If the marketing context includes positioning constraints (e.g., words to avoid, category framing), respect them in all recommendations. Never suggest positioning that contradicts the user's documented strategy.
Suggested Cadence
Recommend a cadence based on category volatility:
- Niche categories (few competitors, slow-moving): Monthly
- Active categories (frequent new entrants): Biweekly
- Competitive categories (paid acquisition, fast chart movement): Weekly
Limitations
Web search cannot provide:
- Exact chart rankings or rank deltas
- Download estimates or volume numbers
- Keyword search volume metrics
- Real-time featuring status
For quantitative data, suggest the user add an ASO tool (Appfigures ~$9/mo, AppTweak ~$69/mo) with an MCP server wrapper.
Related Skills
keyword-research— Deep dive into specific keywords spotted herecompetitor-analysis— Full teardown of a specific competitoraso-audit— Optimize metadata based on findingsapp-store-featured— Strategy for getting featured
Does it work?
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- It worked
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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.

