Aso
arnabbagxd/Brand-building-skills
Optimize an app's store listing for maximum visibility and downloads — keyword strategy, title and subtitle optimization, screenshots, preview videos, rating and review management, and A/B testing…
App Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store.
Install App Store Optimization
$ npx skills add alirezarezvani/claude-skills --skill app-store-optimization -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install alirezarezvani/claude-skills app-store-optimization --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/marketing-skill/skills/app-store-optimization .claude/skills/app-store-optimization && rm -rf skills-srcUse ~/.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/
Install the "app-store-optimization" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/marketing-skill/skills/app-store-optimization into .claude/skills/app-store-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "app-store-optimization", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/alirezarezvani/claude-skills/tree/main/marketing-skill/skills/app-store-optimizationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add alirezarezvani/claude-skills --skill app-store-optimization -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install alirezarezvani/claude-skills app-store-optimization --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/marketing-skill/skills/app-store-optimization .agents/skills/app-store-optimization && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "app-store-optimization" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/marketing-skill/skills/app-store-optimization into .agents/skills/app-store-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "app-store-optimization", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add alirezarezvani/claude-skills --skill app-store-optimization -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install alirezarezvani/claude-skills app-store-optimization --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/marketing-skill/skills/app-store-optimization .cursor/skills/app-store-optimization && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "app-store-optimization" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/marketing-skill/skills/app-store-optimization into .cursor/skills/app-store-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "app-store-optimization", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/alirezarezvani/claude-skills.git --path marketing-skill/skills/app-store-optimization--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add alirezarezvani/claude-skills --skill app-store-optimization -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install alirezarezvani/claude-skills app-store-optimization --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/marketing-skill/skills/app-store-optimization .gemini/skills/app-store-optimization && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "app-store-optimization" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/marketing-skill/skills/app-store-optimization into .gemini/skills/app-store-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "app-store-optimization", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install alirezarezvani/claude-skills app-store-optimizationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add alirezarezvani/claude-skills --skill app-store-optimization -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/marketing-skill/skills/app-store-optimization .github/skills/app-store-optimization && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "app-store-optimization" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/marketing-skill/skills/app-store-optimization into .github/skills/app-store-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "app-store-optimization", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add alirezarezvani/claude-skills --skill app-store-optimization -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install alirezarezvani/claude-skills app-store-optimization --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/marketing-skill/skills/app-store-optimization .opencode/skills/app-store-optimization && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "app-store-optimization" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/marketing-skill/skills/app-store-optimization into .opencode/skills/app-store-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "app-store-optimization", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
app-store-optimization- GitHub stars
- 28k
- Used in
- 1 other repo
- Token cost
- ~4.2k tokens
- SKILL.md length
- 1,508 words
- Files
- 17 (incl. scripts, references, assets)
- Skills in repo
- 342
- Repo updated
- First seen
- Licence
- MIT
At a glance
App Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store.
- Works in 8 steps: Define target audience and core app… → Generate seed keywords from → Expand keyword list using → …
- The user asks about ASO
- SKILL.md covers Keyword Research Workflow, Metadata Optimization Workflow, Competitor Analysis Workflow and App Launch Workflow, plus 3 more sections
- Runs Python scripts from its folder; calls python
What it does
App Store Optimization is an agent skill from alirezarezvani/claude-skills. App Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checklists, and tracking…
Its SKILL.md is about 4.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 19 other files, including scripts, reference files and assets (for example `HOW_TO_USE.md`, `README.md` and `assets/aso-audit-template.md`).
It sits in Marketing & SEO, covering App store release. It works with iOS and Android. The repository describes itself as: 380 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 380+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8… The licence is MIT.
When your agent uses it
- The user asks about ASO
- App store rankings
- App titles and descriptions
- App store listings
Example prompts
- “/app-store-optimization”
Requirements
- Python 3
Workflow steps
8 steps, taken from the first numbered list in SKILL.md.
- Define target audience and core app functions
- Generate seed keywords from
- Expand keyword list using
- Evaluate each keyword
- Score and prioritize keywords
- Map keywords to metadata locations
- Document keyword strategy for tracking
- Validation: Keywords scored; placement mapped; no competitor brand names included; no plurals in iOS keyword field
What it can do on your machine
Read from SKILL.md and the folder at commit 19392f7. 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
Ships 8 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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 Optimization loads about 4.2k tokens when it runs, and up to ~13k if it reads all its reference files. Until then it costs about 139 tokens; SKILL.md has 1,508 words of instructions outside code blocks.
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); the scripts in this folder are not scanned.
SKILL.md
The full file from alirezarezvani/claude-skills at commit 19392f7, republished under its MIT licence (© alirezarezvani). 1,508 words, ~4,199 tokens.
Download SKILL.mdSave it as
.claude/skills/app-store-optimization/SKILL.md (or your agent's skills folder). This skill also uses 16 other files; get the full folder from GitHub.- name
- app-store-optimization
- description
- App Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checklists, and tracking ranking changes.
- triggers
- ASO, app store optimization, app store ranking, app keywords, app metadata, play store optimization, app store listing, improve app rankings, app visibility…
App Store Optimization (ASO)
Keyword Research Workflow
Discover and evaluate keywords that drive app store visibility.
Workflow: Conduct Keyword Research
- Define target audience and core app functions:
- Primary use case (what problem does the app solve)
- Target user demographics
- Competitive category
- Generate seed keywords from:
- App features and benefits
- User language (not developer terminology)
- App store autocomplete suggestions
- Expand keyword list using:
- Modifiers (free, best, simple)
- Actions (create, track, organize)
- Audiences (for students, for teams, for business)
- Evaluate each keyword:
- Search volume (estimated monthly searches)
- Competition (number and quality of ranking apps)
- Relevance (alignment with app function)
- Score and prioritize keywords:
- Primary: Title and keyword field (iOS)
- Secondary: Subtitle and short description
- Tertiary: Full description only
- Map keywords to metadata locations
- Document keyword strategy for tracking
- Validation: Keywords scored; placement mapped; no competitor brand names included; no plurals in iOS keyword field
Keyword Evaluation Criteria
| Factor | Weight | High Score Indicators |
|---|---|---|
| Relevance | 35% | Describes core app function |
| Volume | 25% | 10,000+ monthly searches |
| Competition | 25% | Top 10 apps have <4.5 avg rating |
| Conversion | 15% | Transactional intent ("best X app") |
Keyword Placement Priority
| Location | Search Weight |
|---|---|
| App Title | Highest |
| Subtitle (iOS) | High |
| Keyword Field (iOS) | High |
| Short Description (Android) | High |
| Full Description | Medium |
See: references/keyword-research-guide.md
Metadata Optimization Workflow
Optimize app store listing elements for search ranking and conversion.
Workflow: Optimize App Metadata
- Audit current metadata against platform limits:
- Title character count and keyword presence
- Subtitle/short description usage
- Keyword field efficiency (iOS)
- Description keyword density
- Optimize title following formula:
[Brand Name] - [Primary Keyword] [Secondary Keyword] - Write subtitle (iOS) or short description (Android):
- Focus on primary benefit
- Include secondary keyword
- Use action verbs
- Optimize keyword field (iOS only):
- Remove duplicates from title
- Remove plurals (Apple indexes both forms)
- No spaces after commas
- Prioritize by score
- Rewrite full description:
- Hook paragraph with value proposition
- Feature bullets with keywords
- Social proof section
- Call to action
- Validate character counts for each field
- Calculate keyword density (target 2-3% primary)
- Validation: All fields within character limits; primary keyword in title; no keyword stuffing (>5%); natural language preserved
Platform Character Limits
| Field | Apple App Store | Google Play Store |
|---|---|---|
| Title | 30 characters | 50 characters |
| Subtitle | 30 characters | N/A |
| Short Description | N/A | 80 characters |
| Keywords | 100 characters | N/A |
| Promotional Text | 170 characters | N/A |
| Full Description | 4,000 characters | 4,000 characters |
| What's New | 4,000 characters | 500 characters |
Description Structure
PARAGRAPH 1: Hook (50-100 words)
├── Address user pain point
├── State main value proposition
└── Include primary keyword
PARAGRAPH 2-3: Features (100-150 words)
├── Top 5 features with benefits
├── Bullet points for scanability
└── Secondary keywords naturally integrated
PARAGRAPH 4: Social Proof (50-75 words)
├── Download count or rating
├── Press mentions or awards
└── Summary of user testimonials
PARAGRAPH 5: Call to Action (25-50 words)
├── Clear next step
└── Reassurance (free trial, no signup)See: references/platform-requirements.md
Competitor Analysis Workflow
Analyze top competitors to identify keyword gaps and positioning opportunities.
Workflow: Analyze Competitor ASO Strategy
- Identify top 10 competitors:
- Direct competitors (same core function)
- Indirect competitors (overlapping audience)
- Category leaders (top downloads)
- Extract competitor keywords from:
- App titles and subtitles
- First 100 words of descriptions
- Visible metadata patterns
- Build competitor keyword matrix:
- Map which keywords each competitor targets
- Calculate coverage percentage per keyword
- Identify keyword gaps:
- Keywords with <40% competitor coverage
- High volume terms competitors miss
- Long-tail opportunities
- Analyze competitor visual assets:
- Icon design patterns
- Screenshot messaging and style
- Video presence and quality
- Compare ratings and review patterns:
- Average rating by competitor
- Common praise themes
- Common complaint themes
- Document positioning opportunities
- Validation: 10+ competitors analyzed; keyword matrix complete; gaps identified with volume estimates; visual audit documented
Competitor Analysis Matrix
| Analysis Area | Data Points |
|---|---|
| Keywords | Title keywords, description frequency |
| Metadata | Character utilization, keyword density |
| Visuals | Icon style, screenshot count/style |
| Ratings | Average rating, total count, velocity |
| Reviews | Top praise, top complaints |
Gap Analysis Template
| Opportunity Type | Example | Action |
|---|---|---|
| Keyword gap | "habit tracker" (40% coverage) | Add to keyword field |
| Feature gap | Competitor lacks widget | Highlight in screenshots |
| Visual gap | No videos in top 5 | Create app preview |
| Messaging gap | None mention "free" | Test free positioning |
App Launch Workflow
Execute a structured launch for maximum initial visibility.
Workflow: Launch App to Stores
- Complete pre-launch preparation (4 weeks before):
- Finalize keywords and metadata
- Prepare all visual assets
- Set up analytics (Firebase, Mixpanel)
- Build press kit and media list
- Submit for review (2 weeks before):
- Complete all store requirements
- Verify compliance with guidelines
- Prepare launch communications
- Configure post-launch systems:
- Set up review monitoring
- Prepare response templates
- Configure rating prompt timing
- Execute launch day:
- Verify app is live in both stores
- Announce across all channels
- Begin review response cycle
- Monitor initial performance (days 1-7):
- Track download velocity hourly
- Monitor reviews and respond within 24 hours
- Document any issues for quick fixes
- Conduct 7-day retrospective:
- Compare performance to projections
- Identify quick optimization wins
- Plan first metadata update
- Schedule first update (2 weeks post-launch)
- Validation: App live in stores; analytics tracking; review responses within 24h; download velocity documented; first update scheduled
Pre-Launch Checklist
| Category | Items |
|---|---|
| Metadata | Title, subtitle, description, keywords |
| Visual Assets | Icon, screenshots (all sizes), video |
| Compliance | Age rating, privacy policy, content rights |
| Technical | App binary, signing certificates |
| Analytics | SDK integration, event tracking |
| Marketing | Press kit, social content, email ready |
Launch Timing Considerations
| Factor | Recommendation |
|---|---|
| Day of week | Tuesday-Wednesday (avoid weekends) |
| Time of day | Morning in target market timezone |
| Seasonal | Align with relevant category seasons |
| Competition | Avoid major competitor launch dates |
See: references/aso-best-practices.md
A/B Testing Workflow
Test metadata and visual elements to improve conversion rates.
Show full SKILL.md (667 more words)Show less
Workflow: Run A/B Test
- Select test element (prioritize by impact):
- Icon (highest impact)
- Screenshot 1 (high impact)
- Title (high impact)
- Short description (medium impact)
- Form hypothesis:
If we [change], then [metric] will [improve/increase] by [amount] because [rationale]. - Create variants:
- Control: Current version
- Treatment: Single variable change
- Calculate required sample size:
- Baseline conversion rate
- Minimum detectable effect (usually 5%)
- Statistical significance (95%)
- Launch test:
- Apple: Use Product Page Optimization
- Android: Use Store Listing Experiments
- Run test for minimum duration:
- At least 7 days
- Until statistical significance reached
- Analyze results:
- Compare conversion rates
- Check statistical significance
- Document learnings
- Validation: Single variable tested; sample size sufficient; significance reached (95%); results documented; winner implemented
A/B Test Prioritization
| Element | Conversion Impact | Test Complexity |
|---|---|---|
| App Icon | 10-25% lift possible | Medium (design needed) |
| Screenshot 1 | 15-35% lift possible | Medium |
| Title | 5-15% lift possible | Low |
| Short Description | 5-10% lift possible | Low |
| Video | 10-20% lift possible | High |
Sample Size Quick Reference
| Baseline CVR | Impressions Needed (per variant) |
|---|---|
| 1% | 31,000 |
| 2% | 15,500 |
| 5% | 6,200 |
| 10% | 3,100 |
Test Documentation Template
TEST ID: ASO-2025-001
ELEMENT: App Icon
HYPOTHESIS: A bolder color icon will increase conversion by 10%
START DATE: [Date]
END DATE: [Date]
RESULTS:
├── Control CVR: 4.2%
├── Treatment CVR: 4.8%
├── Lift: +14.3%
├── Significance: 97%
└── Decision: Implement treatment
LEARNINGS:
- Bold colors outperform muted tones in this category
- Apply to screenshot backgrounds for next testBefore/After Examples
Title Optimization
Productivity App:
| Version | Title | Analysis |
|---|---|---|
| Before | "MyTasks" | No keywords, brand only (8 chars) |
| After | "MyTasks - Todo List & Planner" | Primary + secondary keywords (29 chars) |
Fitness App:
| Version | Title | Analysis |
|---|---|---|
| Before | "FitTrack Pro" | Generic modifier (12 chars) |
| After | "FitTrack: Workout Log & Gym" | Category keywords (27 chars) |
Subtitle Optimization (iOS)
| Version | Subtitle | Analysis |
|---|---|---|
| Before | "Get Things Done" | Vague, no keywords |
| After | "Daily Task Manager & Planner" | Two keywords, benefit clear |
Keyword Field Optimization (iOS)
Before (Inefficient - 89 chars, 8 keywords):
task manager, todo list, productivity app, daily planner, reminder appAfter (Optimized - 97 chars, 14 keywords):
task,todo,checklist,reminder,organize,daily,planner,schedule,deadline,goals,habit,widget,sync,teamImprovements:
- Removed spaces after commas (+8 chars)
- Removed duplicates (task manager → task)
- Removed plurals (reminders → reminder)
- Removed words in title
- Added more relevant keywords
Description Opening
Before:
MyTasks is a comprehensive task management solution designed
to help busy professionals organize their daily activities
and boost productivity.After:
Forget missed deadlines. MyTasks keeps every task, reminder,
and project in one place—so you focus on doing, not remembering.
Trusted by 500,000+ professionals.Improvements:
- Leads with user pain point
- Specific benefit (not generic "boost productivity")
- Social proof included
- Keywords natural, not stuffed
Screenshot Caption Evolution
| Version | Caption | Issue |
|---|---|---|
| Before | "Task List Feature" | Feature-focused, passive |
| Better | "Create Task Lists" | Action verb, but still feature |
| Best | "Never Miss a Deadline" | Benefit-focused, emotional |
Tools and References
Scripts
| Script | Purpose | Usage |
|---|---|---|
| keyword_analyzer.py | Analyze keywords for volume and competition | python keyword_analyzer.py --keywords "todo,task,planner" |
| metadata_optimizer.py | Validate metadata character limits and density | python metadata_optimizer.py --platform ios --title "App Title" |
| competitor_analyzer.py | Extract and compare competitor keywords | python competitor_analyzer.py --competitors "App1,App2,App3" |
| aso_scorer.py | Calculate overall ASO health score | python aso_scorer.py --app-id com.example.app |
| ab_test_planner.py | Plan tests and calculate sample sizes | python ab_test_planner.py --cvr 0.05 --lift 0.10 |
| review_analyzer.py | Analyze review sentiment and themes | python review_analyzer.py --app-id com.example.app |
| launch_checklist.py | Generate platform-specific launch checklists | python launch_checklist.py --platform ios |
| localization_helper.py | Manage multi-language metadata | python localization_helper.py --locales "en,es,de,ja" |
References
| Document | Content |
|---|---|
| platform-requirements.md | iOS and Android metadata specs, visual asset requirements |
| aso-best-practices.md | Optimization strategies, rating management, launch tactics |
| keyword-research-guide.md | Research methodology, evaluation framework, tracking |
Assets
| Template | Purpose |
|---|---|
| aso-audit-template.md | Structured audit checklist for app store listings |
Platform Notes
| Platform / Constraint | Behavior / Impact |
|---|---|
| iOS keyword changes | Require app submission |
| iOS promotional text | Editable without an app update |
| Android metadata changes | Index in 1-2 hours |
| Android keyword field | None — use description instead |
| Keyword volume data | Estimates only; no official source |
| Competitor data | Public listings only |
When not to use this skill: web apps (use web SEO), enterprise/internal apps, TestFlight-only betas, or paid advertising strategy.
Related Skills
| Skill | Integration Point |
|---|---|
| content-creator | App description copywriting |
| marketing-demand-acquisition | Launch promotion campaigns |
| marketing-strategy-pmm | Go-to-market planning |
Proactive Triggers
- No keyword optimization in title → App title is the #1 ranking factor. Include top keyword.
- Screenshots don't show value → Screenshots should tell a story, not show UI.
- No ratings strategy → Below 4.0 stars kills conversion. Implement in-app rating prompts.
- Description keyword-stuffed → Natural language with keywords beats keyword stuffing.
Output Artifacts
| When you ask for... | You get... |
|---|---|
| "ASO audit" | Full app store listing audit with prioritized fixes |
| "Keyword research" | Keyword list with search volume and difficulty scores |
| "Optimize my listing" | Rewritten title, subtitle, description, keyword field |
Communication
All output passes quality verification:
- Self-verify: source attribution, assumption audit, confidence scoring
- Output format: Bottom Line → What (with confidence) → Why → How to Act
- Results only. Every finding tagged: 🟢 verified, 🟡 medium, 🔴 assumed.
© alirezarezvani, 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 16 other files (scripts, references, assets) in marketing-skill/skills/app-store-optimization of alirezarezvani/claude-skills.
- SKILL.md
- HOW_TO_USE.md
- README.md
- assets/aso-audit-template.md
- expected_output.json
- references/aso-best-practices.md
- references/keyword-research-guide.md
- references/platform-requirements.md
- sample_input.json
- scripts/ab_test_planner.py
- scripts/aso_scorer.py
- scripts/competitor_analyzer.py
- scripts/keyword_analyzer.py
- scripts/launch_checklist.py
- scripts/localization_helper.py
- scripts/metadata_optimizer.py
- scripts/review_analyzer.py
Open the folder on GitHubat commit 19392f7
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in alirezarezvani/claude-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
App Store Optimization next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| App Store Optimization this skillalirezarezvani/claude-skills | 28k | 1 repos | ~4.2k | Automated safety check: Pass | MIT | |
| Asoarnabbagxd/Brand-building-skills | 719 | — | ~2.4k | Automated safety check: Pass | MIT | |
| Metadata Optimizationappeeky/aso-skills | 2.1k | — | ~1.5k | Automated safety check: Pass | MIT | |
| App Adskostja94/marketing-skills | 1k | — | ~781 | Automated safety check: Pass | MIT | |
| App Store Screenshots GeneratorParthJadhav/app-store-screenshots | 7.2k | — | ~14k | Automated safety check: Pass | MIT | |
| E2Egronxb/hot-updater | 1.8k | — | ~1.6k | Automated safety check: Pass | Custom licence |
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App Store Screenshots Generator
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E2E
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Run end-to-end OTA verification for examples/v0.85.0 with agent-device.
App Store Compliance
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Run an enterprise pre submission compliance audit on a mobile app project before uploading to the Apple App Store or Google Play.
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Questions about App Store Optimization
What does App Store Optimization do?
App Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. App Store Optimization is an agent skill from alirezarezvani/claude-skills. App Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store.
When should I use App Store Optimization?
App Store Optimization fits situations like: the user asks about ASO; app store rankings; app titles and descriptions; app store listings.
How do I install App Store Optimization in Claude Code?
Run `npx skills add alirezarezvani/claude-skills --skill app-store-optimization -a claude-code`. Or copy the skill folder (marketing-skill/skills/app-store-optimization in alirezarezvani/claude-skills) into .claude/skills/app-store-optimization in your project. Claude Code loads it when a task matches its description.
How do I install App Store Optimization in Codex?
Run `npx skills add alirezarezvani/claude-skills --skill app-store-optimization -a codex`. Or copy the skill folder (marketing-skill/skills/app-store-optimization in alirezarezvani/claude-skills) into .agents/skills/app-store-optimization in your project. Codex loads it when a task matches its description.
Can I use App Store Optimization 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 alirezarezvani/claude-skills --skill app-store-optimization -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-optimization, .gemini/skills/app-store-optimization, .github/skills/app-store-optimization and .opencode/skills/app-store-optimization in your project.
What does App Store Optimization need to run?
Going by SKILL.md and its folder, App Store Optimization needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does App Store Optimization access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is App Store Optimization 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does App Store Optimization use?
App Store Optimization 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 Optimization use?
About 4.2k tokens (SKILL.md is roughly 17k 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 8.5k tokens, read only when the agent opens those files.
What are the alternatives to App Store Optimization?
Skills that share tags, products or a category with App Store Optimization: Aso (arnabbagxd/Brand-building-skills, 719 stars), Metadata Optimization (appeeky/aso-skills, 2.1k stars), App Ads (kostja94/marketing-skills, 1k stars) and App Store Screenshots Generator (ParthJadhav/app-store-screenshots, 7.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains App Store Optimization?
alirezarezvani (a GitHub user) maintains it in alirezarezvani/claude-skills, which has 27,788 GitHub stars. The repository holds 342 skills in this directory. The repository was last updated on August 30, 2026.
Source: alirezarezvani/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.