Agent skill

App Store Opportunity Research

by robertguss in robertguss/claude-code-toolkit

Full-pipeline iOS App Store opportunity research. An agent skill from robertguss/claude-code-toolkit.

MITAuto-check passedMobile

Install App Store Opportunity Research

skills CLI
$ npx skills add robertguss/claude-code-toolkit --skill app-store-opportunity-research -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install robertguss/claude-code-toolkit app-store-opportunity-research --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/robertguss/claude-code-toolkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/app-store-opportunity-research .claude/skills/app-store-opportunity-research && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
app-store-opportunity-research
GitHub stars
124
Token cost
~5.6k tokens
SKILL.md length
2,129 words
Files
7 (incl. references)
Skills in repo
16
Repo updated
First seen
Licence
MIT

At a glance

Full-pipeline iOS App Store opportunity research. An agent skill from robertguss/claude-code-toolkit.

  • Works in 10 steps: Define the Category & Goals → App Store Charts Research → Community & Demand Research → …
  • The user wants to find profitable iOS app ideas
  • SKILL.md covers Prerequisites, Pipeline Overview, Step 1: Define the Category &… and Step 2: App Store Charts…, plus 9 more sections
  • Reaches apps.apple.com

What it does

App Store Opportunity Research is an agent skill from robertguss/claude-code-toolkit. Full-pipeline iOS App Store opportunity research. Discovers underserved niches, analyzes competitor gaps, estimates revenue, produces scored top-3 opportunity reports, and writes MVP PRDs — all through browser and web research. Use when the user wants to find profitable iOS app ideas, research App Store charts, analyze competitor apps (ratings, reviews, revenue, gaps), generate opportunity reports, or write MVP PRDs. Triggers on "find app opportunities", "app store research", "what app should I build", "research…

Its SKILL.md is about 5.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `references/app-store-review-risks.md`, `references/aso-guide.md` and `references/benchmarks.md`).

It sits in Mobile, covering App store release and iOS development. It works with iOS. The repository describes itself as: A collection of custom skills that extend Claude's capabilities with specialized workflows, methods, and domain knowledge. The licence is MIT.

When your agent uses it

  • The user wants to find profitable iOS app ideas
  • Research App Store charts
  • Analyze competitor apps (ratings
  • Generate opportunity reports

Example prompts

  • “find app opportunities”
  • “app store research”
  • “what app should I build”
  • “/app-store-opportunity-research”

Workflow steps

10 steps, taken from the step headings in SKILL.md.

  1. Define the Category & Goals
  2. App Store Charts Research
  3. Community & Demand Research
  4. Competitor Deep-Dive
  5. Revenue Deep-Dive
  6. Gap Analysis
  7. Score & Rank Opportunities
  8. Top 3 Opportunity Report
  9. Quick Validation (Optional)
  10. Write the MVP PRD

What it can do on your machine

Read from SKILL.md and the folder at commit f7fd35e. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • apps.apple.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

App Store Opportunity Research loads about 5.6k tokens when it runs, and up to ~15k if it reads all its reference files. Until then it costs about 154 tokens; SKILL.md has 2,129 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~154
When it runs · the whole SKILL.md, loaded when a task matches
~5.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~15k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from robertguss/claude-code-toolkit at commit f7fd35e, republished under its MIT licence (© robertguss). 2,129 words, ~5,649 tokens.

Download SKILL.mdSave it as .claude/skills/app-store-opportunity-research/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
app-store-opportunity-research
description
Full-pipeline iOS App Store opportunity research. Discovers underserved niches, analyzes competitor gaps, estimates revenue, produces scored top-3 opportunity reports, and writes MVP PRDs — all through browser and web research. Use when the user wants to find profitable iOS app ideas, research App Store charts, analyze competitor apps (ratings, reviews, revenue, gaps), generate opportunity reports, or write MVP PRDs. Triggers on "find app opportunities", "app store research", "what app should I build", "research this app category", "find a gap in the app store", "ios app ideas".

Prerequisites

  • Browser tools for App Store browsing and research
  • Web search for Reddit, Google Trends, and indie revenue research
  • No API keys required — all research is done through browser and web search

Pipeline Overview

1. Define Category & Goals
2. App Store Charts Research
3. Community & Demand Research
4. Competitor Deep-Dive
5. Revenue Deep-Dive
6. Gap Analysis
7. Score & Rank
8. Top 3 Report
9. Quick Validation (optional)
10. MVP PRD

Step 1: Define the Category & Goals

Ask the user what space they want to explore. Help them narrow down:

  • Too broad: "Health apps" (thousands of competitors)
  • Good: "Sleep + anxiety apps for consumers" (specific intersection)
  • Good: "Habit tracking for fitness beginners" (audience + niche)
  • Good: "AI-powered journaling apps" (tech angle + category)

Key questions to ask:

  1. What category or problem space interests you?
  2. Consumer or B2B? (Consumer is easier to validate quickly)
  3. Any budget constraints? (No-AI = cheaper to build, AI = higher ceiling)
  4. Target revenue? ($1K/mo side project vs $10K/mo business vs $50K+/mo full-time replacement)
  5. What's your timeline? (2-4 week MVP vs 2-3 month polished launch)
  6. Do you have domain expertise or personal pain in this area? (Strongest apps come from scratching your own itch)

Step 2: App Store Charts Research

Browse the iOS App Store charts to map the competitive landscape.

Chart URLs

Navigate to: https://apps.apple.com/us/charts/iphone/{category-slug}/{category-id}

Apps:

CategoryPath
Books/books-apps/6018
Business/business-apps/6000
Education/education-apps/6017
Entertainment/entertainment-apps/6016
Finance/finance-apps/6015
Food & Drink/food-drink-apps/6023
Graphics & Design/graphics-design-apps/6027
Health & Fitness/health-fitness-apps/6013
Lifestyle/lifestyle-apps/6012
Medical/medical-apps/6020
Music/music-apps/6011
Navigation/navigation-apps/6010
News/news-apps/6009
Photo & Video/photo-video-apps/6008
Productivity/productivity-apps/6007
Reference/reference-apps/6006
Shopping/shopping-apps/6024
Social Networking/social-networking-apps/6005
Sports/sports-apps/6004
Travel/travel-apps/6003
Utilities/utilities-apps/6002
Weather/weather-apps/6001

Games:

CategoryPath
Action/action-games/7001
Adventure/adventure-games/7002
Board/board-games/7004
Card/card-games/7005
Casino/casino-games/7006
Puzzle/puzzle-games/7012
Racing/racing-games/7013
Role-Playing/role-playing-games/7014
Simulation/simulation-games/7016
Sports/sports-games/7017
Strategy/strategy-games/7018
Trivia/trivia-games/7019
Word/word-games/7020
International Charts

Check other countries for apps not yet available or localized for the US:

  • UK: apps.apple.com/gb/charts/iphone/...
  • Germany: apps.apple.com/de/charts/iphone/...
  • Japan: apps.apple.com/jp/charts/iphone/...
  • Australia: apps.apple.com/au/charts/iphone/...
  • Canada: apps.apple.com/ca/charts/iphone/...
  • South Korea: apps.apple.com/kr/charts/iphone/...
  • Brazil: apps.apple.com/br/charts/iphone/...
What to Document

Record the top 25-50 apps, noting:

  • App name and chart position
  • Rating count (proxy for install base — see references/revenue-estimation.md)
  • Star rating
  • Price/monetization model (free, paid, subscription, freemium)
  • Brief description
  • Last updated date (visible on the app's detail page)
Pattern Recognition
Rating CountSignal
>100KSaturated — dominated by big players
10K-100KEstablished demand, strong competition
1K-10KSweet spot — proven demand, beatable
500-1KEmerging niche — validate demand carefully
<500Possible new/underserved niche OR no real demand

Step 3: Community & Demand Research

Validate that real demand exists outside the App Store. See references/research-sources.md for detailed search patterns and sources.

Reddit & Forum Research

Search Reddit for unmet demand signals in the category. Look for:

  • "Is there an app that..." posts with no good answer
  • Complaints about existing apps (pain points users will pay to escape)
  • Feature requests with high upvotes
  • "I switched from X to Y because..." (switching triggers)
  • "I'd pay $X for..." (willingness-to-pay signals)

Check Google Trends for the core problem keywords:

  • Rising trend = growing demand, may not be saturated
  • Declining trend = caution, avoid unless you have a unique angle
  • Note seasonal patterns to time your launch (fitness peaks January, etc.)
Web → Mobile Gap Detection

Search for opportunities where demand exists but no quality iOS app serves it:

  • Product Hunt: Recently launched web tools in the category without native iOS apps
  • AlternativeTo: What users are looking for alternatives to (dissatisfaction signal)
  • International apps: Successful apps in other countries without US presence
Indie Revenue Intelligence

Search IndieHackers and Twitter (#buildinpublic) for real revenue data from solo devs and small teams in the category. Real numbers beat estimates. See references/research-sources.md for search patterns.


Step 4: Competitor Deep-Dive

For each promising niche area, deep-dive into 5-8 competitor apps.

Data to Collect Per App
FieldHow to Find
NameApp Store listing
Ratings countApp Store listing
Star ratingApp Store listing
Price / subscriptionApp Store listing
Last updatedApp Store listing — stale (6+ months) = vulnerable
App sizeApp Store listing — bloated (200MB+) = simplifier play
DeveloperApp Store listing — solo dev vs company?
Dev replies to reviewsApp Store reviews — silence = likely abandoned
Trustpilot scoreSearch {app name} trustpilot
Estimated revenueSee references/revenue-estimation.md
Key featuresStore description / screenshots
Top complaints1-2 star reviews on App Store and Trustpilot
Missing featuresCompare across competitors
Privacy labelsApp Store "App Privacy" section — data hungry = privacy play opportunity
Systematic Review Mining

For each competitor, read the 20 most recent 1-star and 2-star reviews on the App Store. Categorize complaints into:

  • Bugs/crashes — Technical issues (less useful for opportunity finding)
  • Missing features — "I wish it had..." (direct feature gap signals)
  • UX frustration — "Too complicated", "Can't find..." (design opportunity)
  • Pricing complaints — "Too expensive for what it does" (pricing opportunity)
  • Broken promises — "Doesn't do what it says" (trust/quality opportunity)
  • Privacy/data concerns — "Why does it need my email?" (privacy play opportunity)
  • Subscription fatigue — "Not worth the monthly cost" (lifetime pricing opportunity)

The most valuable complaints are missing features and UX frustration — these are problems you can solve. If the same complaint appears across 3+ competitors, you've found a validated gap.

Opportunity Archetypes

When analyzing competitors, identify which archetype fits the opportunity. This sharpens positioning and guides the PRD:

ArchetypeSignalYour Play
The SimplifierMarket leader is bloated, 200MB+, does too muchFocused app that does 1 thing perfectly
The Privacy PlayCompetitors harvest data, require accountsPrivacy-first, local-only, no account needed
The Design UpgradeCompetitors are functional but visually datedSame core features, premium modern UI
The UnbundlerBig app has 10 features, users only need 2Extract the 2 features into a clean app
The CombinerUsers always pair 2 separate apps togetherMerge them into one seamless experience
The LocalizerApp thrives in other countries, no US equivalentBring the validated concept to a new market
The AI UpgraderExisting apps are manual/staticAdd AI to automate or personalize the experience
The Lifetime PlayUsers hate subscriptions in this categoryOffer lifetime purchase where competitors don't

Most successful indie apps fit one or more of these archetypes. Name the archetype in the opportunity report — it clarifies the "why you win" story.

Red Flags (Avoid These Niches)
  • Top app has 1M+ ratings (dominated by a giant)
  • Heavy regulation with approval requirements (medical devices, financial trading, kids' apps under COPPA)
  • All competitors are free with no monetization path
  • Category requires ongoing content creation to retain users (news, social)
  • Apple has a built-in solution (Calculator, Weather, Notes) — hard to compete with free+preinstalled
  • App Store review rejection risk is high for the category (see references/app-store-review-risks.md)
Green Flags (Pursue These Niches)
  • Top competitors have poor reviews (< 3.5 Trustpilot)
  • Solo devs making $50K+/yr (proves indie viability)
  • Editors' Choice app exists with low ratings (Apple promotes the niche)
  • Users complain about the same missing feature across multiple apps
  • Clear $5-15/mo or $15-50/yr willingness to pay
  • Competitors haven't updated in 6+ months (stale, vulnerable)
  • Apple is actively promoting the category (WWDC sessions, new APIs, featuring)

Step 5: Revenue Deep-Dive

Revenue estimation is critical for deciding whether an opportunity is worth pursuing. Don't rely on a single method — triangulate from multiple sources.

See references/revenue-estimation.md for the full estimation toolkit including:

  • Rating-count proxy methods (with confidence levels)
  • Public revenue data sources (IndieHackers, #buildinpublic, Sensor Tower blogs)
  • App Store position-to-revenue mapping
  • Conversion rate and pricing benchmarks
  • Revenue modeling templates for subscription, freemium, and paid apps
Quick Revenue Sanity Check

For each opportunity, answer:

  1. What will you charge? (See pricing benchmarks in references/benchmarks.md)
  2. How many paying users do you need for your target revenue? (e.g., $10K/mo at $4.99/mo = 2,004 subscribers)
  3. Is that realistic given the total addressable market? (Compare to competitor rating counts)
  4. What's the revenue ceiling? (Best-case scenario if you capture 10% of the niche)

Step 6: Gap Analysis

Create a feature comparison matrix across the top competitors:

markdown
| Feature         | App A  | App B | App C | App D | YOUR APP |
| --------------- | ------ | ----- | ----- | ----- | -------- |
| Core Feature 1  | Yes    | Yes   | No    | Yes   | YES      |
| Core Feature 2  | No     | Yes   | Yes   | No    | YES      |
| Missing Feature | No     | No    | No    | No    | YES      |
| Privacy-first   | No     | No    | No    | Yes   | YES      |
| Offline support | No     | No    | Yes   | No    | YES      |
| Price           | $14.99 | $9.99 | Free  | $6.99 | $4.99/yr |
| UX Quality      | Poor   | Good  | OK    | Good  | Premium  |
| Last Updated    | 2024   | 2025  | 2023  | 2025  | NEW      |

The winning opportunity is where:

  1. Multiple competitors exist (proven demand)
  2. They all miss the same 1-2 features
  3. Users vocally complain about the gap
  4. Pricing is high enough to support indie revenue
  5. You can build a defensible advantage (see moat analysis below)
Show full SKILL.md (824 more words)Show less
Moat Analysis

For each opportunity, evaluate defensibility. Apps with no moat get cloned quickly. Score each factor:

Moat TypeQuestionExample
Data moatDoes the app get better with more user data?Personalized recommendations, learned habits
Network effectsDoes value increase with more users?Social features, shared content
Switching costsIs it painful to leave once you've invested?Historical data, customization, integrations
Brand/trustDoes the category reward reputation?Privacy, health, finance
Speed moatCan you ship and iterate faster than incumbents?Solo dev agility vs corporate bureaucracy
AI moatDoes your AI improve with usage in ways competitors can't?Custom models, unique training data

Even one strong moat factor is valuable. "Speed moat" is the most accessible for indie devs — ship fast, iterate based on real feedback, stay ahead.


Step 7: Score & Rank Opportunities

Score each candidate opportunity using the structured rubric in references/scoring-framework.md. Score on 6 dimensions (1-5 each, 30 max): Market Demand, Competition Weakness, Revenue Potential, Build Feasibility, Differentiation Clarity, and Regulatory Safety.

Present the scorecard to the user alongside the top 3 report.


Step 8: Top 3 Opportunity Report

Produce a ranked report with this structure:

markdown
# Top 3 iOS App Opportunities in {Category}

## Opportunity Scorecard

| Dimension              | Opp 1: {Name} | Opp 2: {Name} | Opp 3: {Name} |
| ---------------------- | ------------- | ------------- | ------------- |
| Market Demand (1-5)    |               |               |               |
| Competition Weakness   |               |               |               |
| Revenue Potential      |               |               |               |
| Build Feasibility      |               |               |               |
| Differentiation        |               |               |               |
| Regulatory Safety      |               |               |               |
| **TOTAL (out of 30)**  |               |               |               |

## Opportunity 1: {App Name} (RECOMMENDED)

**Archetype:** {Simplifier / Privacy Play / Design Upgrade / Unbundler /
Combiner / Localizer / AI Upgrader / Lifetime Play}
**One-line pitch:** {What it does in 10 words}
**The gap:** {What's missing in the market}
**Target user:** {Who and why they'd pay}
**Revenue model:** {Price point and conversion assumptions}
**Revenue path:** {How to reach $X/mo with math}
**Competition:** {Who exists, why you win}
**Moat:** {What defensibility you build over time}
**Build complexity:** {Low/Medium/High, estimated weeks to MVP}
**App Store risk:** {Any review/approval concerns}
**Confidence:** {High/Medium/Low with reasoning}

## Opportunity 2: {App Name}

{Same fields as above}

## Opportunity 3: {App Name}

{Same fields as above}

## Recommendation

{Why #1 is the best bet, with specific reasoning tied to scores}

Present this to the user and get their pick before proceeding.


Step 9: Quick Validation (Optional)

Before investing in a full PRD, suggest a lightweight smoke test to de-risk the chosen opportunity:

  • Reddit validation post: Post in a relevant subreddit describing the concept and ask if people would use/pay for it. Frame as "I'm thinking about building X — would this solve your problem?"
  • Landing page test: Create a simple one-page site describing the app with an email signup. Use Carrd, Framer, or a single HTML page. Run for 3-7 days.
  • Twitter/X poll: Post a poll describing the problem and 3-4 solution approaches. See which resonates.
  • TestFlight beta list: Start collecting emails for early beta access — this validates willingness to actually try the app.

Skip this step if: the user wants to move fast, the opportunity scored 24+, or strong demand evidence already exists from Step 3.


Step 10: Write the MVP PRD

Once the user selects an opportunity, write a comprehensive PRD with these sections:

  1. Executive Summary — One paragraph pitch, name the opportunity archetype
  2. Market Opportunity — Problem, TAM/SAM/SOM market sizing (see below), competitive landscape table, revenue validation
  3. Target Users — 3 personas with name, age, job, pain points, willingness to pay
  4. MVP Feature Set — 5-8 feature groups with detailed specs, UI behavior, edge cases. Clearly mark what's MVP vs V2.
  5. Screen Map — All screens listed with parent/child relationships
  6. Onboarding Flow — First-time user experience step by step: what the user sees on first launch, how many screens before value delivery, what permissions are requested and when, how the app demonstrates its core value within 60 seconds. This is the single biggest factor in retention.
  7. User Flow — Primary user journey from onboarding to daily use
  8. Monetization — Free vs Premium feature split, pricing (annual + lifetime), free trial length, Superwall/RevenueCat integration, paywall placement strategy
  9. Tech Stack — Swift/SwiftUI, minimum iOS version, persistence (SwiftData/ CoreData/UserDefaults), networking, third-party dependencies. Keep dependencies minimal for long-term maintainability.
  10. AI Features — If applicable, what AI does and doesn't do, on-device vs cloud, cost implications
  11. Data Models — Swift structs/classes for core entities with property types
  12. Design Direction — Color palette (with hex codes), typography, component style, mood. Reference Apple's Human Interface Guidelines.
  13. App Store Listing (ASO) — Optimized for discoverability:
    • App name (30 char max) — include primary keyword
    • Subtitle (30 char max) — reinforce value proposition with secondary keyword
    • Keywords (100 char max, comma-separated) — no spaces after commas, no duplicates of words in name/subtitle, include misspellings and synonyms
    • First 3 lines of description — these show before "Read More" tap, must hook immediately
    • Screenshot strategy — what each of the 10 screenshots should show, captions for each
    • App preview video — 15-30 second concept showing core value proposition
    • See references/aso-guide.md for keyword research methodology and optimization tactics
  14. Launch Strategy — Week 1-12 plan, marketing channels, content strategy
  15. Success Metrics & Retention — KPIs with specific targets including D1/D7/D30 retention benchmarks
  16. Risks & Mitigations — Top 5 risks with solutions, including App Store review risks
  17. Privacy & Compliance — Privacy nutrition labels, App Tracking Transparency, data handling, App Store Review Guidelines compliance
  18. Competitive Moat — How defensibility builds over time
  19. Future Roadmap — V2, V3 features beyond MVP
Market Sizing Framework

For section 2, estimate:

  • TAM (Total Addressable Market): Total number of people with this problem × willingness to pay. Use Google Trends, Statista, and category research.
  • SAM (Serviceable Addressable Market): TAM filtered to iOS users in your target geography.
  • SOM (Serviceable Obtainable Market): Realistic capture in year 1. For indie apps, 0.1-1% of SAM is a reasonable starting estimate. Compare to competitor rating counts for grounding.

Save the PRD as: PRD-{AppName}.md


Revenue & Marketing Benchmarks

See references/benchmarks.md for revenue validation benchmarks, pricing sweet spots, retention targets, and marketing channel playbook. Reference this when validating opportunities in Steps 5-7 and writing the launch strategy in Step 10.

© robertguss, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 6 other files (references) in skills/app-store-opportunity-research of robertguss/claude-code-toolkit.

  • SKILL.md
  • references/app-store-review-risks.md
  • references/aso-guide.md
  • references/benchmarks.md
  • references/research-sources.md
  • references/revenue-estimation.md
  • references/scoring-framework.md

Open the folder on GitHubat commit f7fd35e

Compare with similar skills

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App Store Opportunity Research compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
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iOS Accessibilitydpearson2699/swift-ios-skills1.2k—~4.6kAutomated safety check: PassCustom licence
OdevioOdevio/Odevio-CLI423—~7.6kAutomated safety check: PassMIT
iOS App Store SubmitZestfulPulse/ios-app-store-submit142—~4.7kAutomated safety check: PassMIT
Expo Deploymentkingstinct/react-native-healthkit7164 repos~930Automated safety check: PassMIT

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Questions about App Store Opportunity Research

What does App Store Opportunity Research do?

Full-pipeline iOS App Store opportunity research. An agent skill from robertguss/claude-code-toolkit. App Store Opportunity Research is an agent skill from robertguss/claude-code-toolkit. Full-pipeline iOS App Store opportunity research.

When should I use App Store Opportunity Research?

App Store Opportunity Research fits situations like: the user wants to find profitable iOS app ideas; research App Store charts; analyze competitor apps (ratings; generate opportunity reports.

How do I install App Store Opportunity Research in Claude Code?

Run `npx skills add robertguss/claude-code-toolkit --skill app-store-opportunity-research -a claude-code`. Or copy the skill folder (skills/app-store-opportunity-research in robertguss/claude-code-toolkit) into .claude/skills/app-store-opportunity-research in your project. Claude Code loads it when a task matches its description.

How do I install App Store Opportunity Research in Codex?

Run `npx skills add robertguss/claude-code-toolkit --skill app-store-opportunity-research -a codex`. Or copy the skill folder (skills/app-store-opportunity-research in robertguss/claude-code-toolkit) into .agents/skills/app-store-opportunity-research in your project. Codex loads it when a task matches its description.

Can I use App Store Opportunity Research in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add robertguss/claude-code-toolkit --skill app-store-opportunity-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/app-store-opportunity-research, .gemini/skills/app-store-opportunity-research, .github/skills/app-store-opportunity-research and .opencode/skills/app-store-opportunity-research in your project.

What does App Store Opportunity Research need to run?

SKILL.md names no scripts, command-line tools or credentials: App Store Opportunity Research is instructions for the agent only.

Does App Store Opportunity Research access the network?

SKILL.md names 1 domain. In commands or code: apps.apple.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is App Store Opportunity Research safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does App Store Opportunity Research use?

App Store Opportunity Research is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does App Store Opportunity Research use?

About 5.6k tokens (SKILL.md is roughly 23k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 9.1k tokens, read only when the agent opens those files.

What are the alternatives to App Store Opportunity Research?

Skills that share tags, products or a category with App Store Opportunity Research: Apple Guidelines (bpinheiroms/dotfiles, 108 stars), iOS Accessibility (dpearson2699/swift-ios-skills, 1.2k stars), Odevio (Odevio/Odevio-CLI, 423 stars) and iOS App Store Submit (ZestfulPulse/ios-app-store-submit, 142 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains App Store Opportunity Research?

robertguss (a GitHub user) maintains it in robertguss/claude-code-toolkit, which has 124 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on September 16, 2026.

Source: robertguss/claude-code-toolkit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.