competitor-analysis
Skill7 starsChanged 4 months agoMITView on GitHub
When the user wants to compare an app against its tracked competitors using ASOScan (keyword overlap and gaps, which store category each competitor uses, category chart rank over time, and rating trajectory), or add a new rival by store URL. Also use when the user mentions "compare my app to competitors", "who am I competing with", "add this competitor", "how do I stack up", "am I gaining or losing vs them", "what category do my competitors use", or "category ranking". For a competitor's full keyword list, see keyword-spy.
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64 other projects use a version of this.
Adopted by
Most recently taken up by
- oivanfelipe/claude-skillstheir own version, first seen Nov 8, 2026
- alunadev/ald-skillstheir own version, first seen Nov 8, 2026
- foverse/seoversetheir own version, first seen Nov 8, 2026
- AppKittie/aso-mcp-skillstheir own version, first seen Nov 8, 2026
- 01jiyuge/signaldesktheir own version, first seen Nov 1, 2026
- Big-LAORE/Biblioth-que-de-skillstheir own version, first seen Nov 1, 2026
Used with
Projects with it also use seo-project-setup, app-marketing-context and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
JwuthriSkillseo-project-setup
Set up a durable local SEO workspace with project context, notes, goals, positioning, preferences, MCP checks, and Search Console data intake.
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appeekySkillapp-marketing-context
When the user wants to create or update their app marketing context document. Also use when the user mentions "app context", "marketing brief", "app positioning", or when starting any ASO or app marketing project. This is the foundation skill — all other skills check for this context first.
Also in 6 projects that use this
appeekySkillmetadata-optimization
When the user wants to optimize App Store metadata — title, subtitle, keyword field, or description. Also use when the user mentions "optimize my title", "ASO metadata", "keyword field", "character limits", "app description", or "write my subtitle". For keyword discovery, see keyword-research. For full ASO audits, see aso-audit.
Also in 6 projects that use this
JwuthriSkillopenseo-release-notes
Cut an OpenSEO release — bump the version, draft user-facing release notes from commits since the last tag, run a review + subagent-verification pass, and open a "release: vX.X.X" PR. Use when the user asks to prepare a release, bump the version, or write release notes.
Also in 6 projects that use this
akii-technologies-ltdSkillkeyword-clustering
Cluster and organize keywords into topical groups for SEO. Use when the user asks to "cluster keywords", "group keywords", "organize keywords", "keyword mapping", "topic clusters", "keyword grouping", "build a content plan", "pillar pages", "topical authority", "semantic clustering", or pastes a list of keywords.
Also in 11 projects that use this
MicrosoftSkillcompetitive-landscape
Use when a branch manager asks something like \"Who are we up against in each metro\"
Also in 11 projects that use this
- +5 more from Jwuthri
- +1 more from appeeky
Other versions64 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 64
- langchain-ai/deepagents★ 31ksame name
- every-app/open-seo★ 27ksame name
- browserbase/agent-browse★ 3.7ksame name
- appeeky/aso-skills★ 2.2ksame name
- Eronred/aso-skills★ 2.2ksame name
- Jwuthri/Tracely-ai★ 1.3ksame name
- VladSez/easy-invoice-pdf★ 1.1ksame name
- jwuthri-cloud/Tracely-ai★ 979same name
- indranilbanerjee/digital-marketing-pro★ 934same name
- OpenClaudia/openclaudia-skills★ 731same name
54 more not listed
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 repository8 other files it gives its agents.
- aso-fundamentalsSkill
- asoscan-routerSkill
- asoscan-setupSkill
- keyword-intelligenceSkill
- keyword-opportunitiesSkill
- keyword-spySkill
- metadata-auditSkill
- review-insightsSkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 53 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 61
If rivals cluster in a different (or less crowded) category, flag it — category choice is an ASO lever.
“Common” is measured: kept by at least 6 in 10 of the 53 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
Competitor Analysis
Position the app against the rivals ASOScan tracks — where it's ahead, where it's behind, and the single biggest lever — using real rank, rating, and keyword data.
When to use
- "Compare my app to my competitors."
- "Add
<store URL>as a competitor." - "What category do my competitors use / how's my category rank vs theirs?"
Getting the data (two modes)
Pick the first mode that applies, then follow the steps below.
- ASOScan tools are connected (the ASOScan plugin or connector in ChatGPT or Claude, or any MCP client): use the tool named in the table. Do not ask for an API key and do not run
curl. Tool results have the same fields as the API responses below, and a list comes back insideitems. If a tool answers with a message instead of data (reconnect, credits used up, plan limit, "preparing"), pass that message on and stop. - No tools, but you can run shell commands and
ASOSCAN_API_KEYis set: make the API call in the table. Basehttps://asoscan.com/api/public/v1, headerAuthorization: Bearer $ASOSCAN_API_KEY, JSON with camelCase fields. Never print the key. Capture the HTTP status and handle errors as described at the bottom. - Neither: hand off to asoscan-setup. It explains how to connect ASOScan in ChatGPT or Claude, or how to create an API key.
ASOScan only sees the apps in the user's own account and the competitors they track. Every call uses API credits (failed calls are free). Before a call that costs more than 2 API credits, or one that uses AI, tell the user the cost and wait for a yes. Before any call that changes data, ask first.
| Step | Tool (connected) | API call (key) | API credits |
| Find the app | list_my_apps | GET /apps | free |
| One app's facts (category, rating) | get_app_details | GET /apps/{id} | free |
| Competitors | get_competitors | GET /apps/{id}/competitors?country= | free |
| Add a rival by store link (changes data) | add_competitor | POST /apps/{id}/competitors with { "storeUrl": "..." } | 2, ask first |
| Category rank over time | get_category_rank | GET /apps/{id}/category-rank?country=&days=30 | free |
| Rating history | get_rating_history | GET /apps/{id}/rating-history | free |
Steps
- Find the app —
GET /apps→{ id, name, category, rating, … }(your owncategoryis here). - Competitors —
GET /apps/{id}/competitors?country=(free) →[{ id, name, developer, iconUrl, rating, ratingCount, category }]. Thecategoryis each competitor's primary store category — this answers "what category do my competitors use?" (only the primary is exposed, not Apple's secondary). - Add a rival (if asked) —
POST /apps/{id}/competitors { "storeUrl": "…" }(2 credits, write key). Confirm before writing. - Category rank over time —
GET /apps/{id}/category-rank?country=&days=30(free) →{ category, country, rankType, currentRank, points[]{ date, rank } }. - Rating trajectory —
GET /apps/{id}/rating-history(free) →[{ rating, totalRatings, date }]. - Keyword overlap — pair with keyword-spy on each competitor for the gap list.
Category-rank and rating-history are per-app; to compare a competitor, run the same reads on that competitor's app id (it must be a tracked competitor).
How to analyze
- Category placement — list each competitor's primary
categorynext to yours. If rivals cluster in a different (or less crowded) category, flag it — category choice is an ASO lever. - Rank momentum — climbing or sliding over the window (
points)? A point exists only for a date that was measured, sorank: nullmeans measured and not in the tracked chart — say "not charting yet", never "no data". Unmeasured dates are absent, so a 30-day window may return fewer than 30 points. An app whose points are all null is not broken data: it hasn't broken into the chart, and volume/authority is the lever, not metadata. - Rating gap — average
ratingand its direction vs competitors. - Keyword gap (highest-leverage) — relevant terms rivals win that you don't target (from keyword-spy), ranked by relevance × volume.
- Positioning — one honest line (leader / challenger / niche) + the biggest lever.
Output template
### Competitive position — {App} ({country}) · credits left: {remaining}
| App | Category | Category rank (now → {N}d ago) | Rating (now → trend) |
|---|---|---|---|
| {you} | {your category} | … | … |
| {competitor} | {their category} | … | … |
**Keyword gaps** (they rank, you don't — relevant): …
**Biggest lever:** {one specific move}
**Next in ASOScan:** run `keyword-spy` per competitor, then `keyword-opportunities` + `metadata-audit`.Errors, credits & honesty
401→ asoscan-setup ·403no API access (or read-only key on the add) ·402out of credits ·404not tracked ·503not enabled yet. Reads here are free; only adding a competitor costs credits.- Compete on breadth, coverage, and momentum. Clean numbers — don't concede a rival's data is "more accurate", and don't claim a tactic guarantees a rank change.
- Full reference: https://asoscan.com/api/developers
Related
- keyword-spy — reverse-lookup each competitor's keywords.
- keyword-opportunities — turn gaps into a tracked target list.
- review-insights — compare what users say (add rivals as competitors first).
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