
app-store-aso
Generate optimized Apple App Store metadata recommendations with ASO best practices. Use this skill when analyzing app listings, optimizing metadata (title, subtitle, description, keywords), performing competitive analysis, or validating App Store listing requirements. Triggers on queries about App Store optimization, metadata review, or screenshot strategy.
- Installs
- 496
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/timbroddin/app-store-aso-skill --skill app-store-aso- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads app-store-aso automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Apple App Store ASO Optimization
Overview
This skill enables comprehensive Apple App Store Optimization (ASO) analysis and metadata generation. Analyze existing app listings, generate optimized metadata following Apple's guidelines and character limits, provide competitive insights, and recommend screenshot storyboard strategies.
Core Workflow
When a user requests ASO optimization or metadata review:
-
Analyze the App Context
- Understand the app's purpose, features, and target audience
- Identify unique value propositions and competitive differentiators
- Note any changes or updates the user mentions
-
Load ASO Knowledge Base
- Reference
references/aso_learnings.mdfor comprehensive ASO best practices - Apply competitive analysis strategies
- Use proven optimization patterns
- Reference
-
Generate Optimized Metadata
- Create optimized app name, subtitle, and promotional text
- Write compelling description with keyword optimization
- Generate keyword list with strategic placement
- Ensure all metadata follows Apple's character limits
-
Validate Character Counts
- Use
scripts/validate_metadata.pyto verify all metadata meets Apple's requirements - Display validation results with character counts and limit compliance
- Flag any violations with specific corrections needed
- Use
-
Provide Screenshot Strategy
- Recommend screenshot storyboard sequence
- Suggest messaging hierarchy and visual focus areas
- Align screenshot strategy with metadata messaging
Apple App Store Character Limits
Critical Limits to Validate:
- App Name: 30 characters maximum
- Subtitle: 30 characters maximum
- Promotional Text: 170 characters maximum
- Description: 4,000 characters maximum
- Keywords: 100 characters maximum (comma-separated, no spaces)
- What's New: 4,000 characters maximum
Metadata Validation Process
After generating recommendations, always validate using the validation script:
python scripts/validate_metadata.py
The script will:
- Prompt for each metadata field
- Calculate character counts
- Check against Apple's limits
- Display results with ✅ (pass) or ❌ (fail) indicators
- Show exact character counts and remaining characters
Integration Pattern:
- Generate metadata recommendations
- Run validation script with recommended content
- Display validation results to user
- Adjust any failing fields and re-validate
Output Format
Structure recommendations as:
📱 App Metadata Recommendations
App Name (X/30 characters) [optimized name]
Subtitle (X/30 characters) [optimized subtitle]
Promotional Text (X/170 characters) [promotional text]
Keywords (X/100 characters) [keyword,list,no,spaces]
Description (X/4000 characters) [full description]
🎯 Competitive Analysis
[Key insights and positioning recommendations]
📸 Screenshot Storyboard Strategy
[Ordered list of screenshot recommendations with messaging]
✅ Validation Results
[Output from validation script showing compliance]
Krankie: App Store Ranking Tracker
Krankie is an agent-first CLI tool for tracking App Store keyword rankings. Use it to monitor keyword performance, track ranking changes over time, and inform ASO optimization decisions with real data.
Installation
bun install -g krankie
# or run directly
bunx krankie
Key Commands
App Management:
# Search for apps
krankie app search "<query>" --platform ios
# Add an app to track
krankie app create <app_id> --platform ios
# List tracked apps
krankie app list
Keyword Tracking:
# Add keywords to track for an app
krankie keyword add <app_id> "<keyword>" --store us
# List tracked keywords
krankie keyword list
Ranking Checks:
# Run ranking checks for all tracked keywords
krankie check run
# View current rankings
krankie rankings
# See biggest movers (gains/losses)
krankie rankings movers
# View ranking history for a keyword
krankie rankings history <keyword_id>
# Check status of last run
krankie check status
Automation:
# Install daily cron job (default: 6 AM)
krankie cron install --hour 6
# Check cron status
krankie cron status
Agent Integration
All commands support --json flag for structured output:
krankie rankings --json
krankie app list --json
Get agent-friendly instructions:
krankie instructions --format json
Data Notes
- Rankings track positions 1-200; null indicates outside this range
- Data stored locally in
~/.krankie/krankie.db(SQLite) - Daily re-checks are rate-limited; use
--forceto override - Logs available at
~/.krankie/check.log
ASO Workflow Integration
- Before optimization: Use
krankie rankingsto establish baseline keyword positions - Competitive analysis: Track competitor apps and their keyword rankings
- After metadata changes: Monitor
krankie rankings moversto measure impact - Trend analysis: Use
krankie rankings historyto identify patterns
Resources
scripts/validate_metadata.py
Python script that validates App Store metadata against Apple's character limits. Provides interactive validation with clear pass/fail indicators.
references/aso_learnings.md
Comprehensive ASO knowledge base containing optimization strategies, competitive analysis frameworks, keyword research techniques, and proven best practices. Load this file to inform all ASO recommendations.
FAQ
What does the app-store-aso skill do?
Generate optimized Apple App Store metadata recommendations with ASO best practices. Use this skill when analyzing app listings, optimizing metadata (title, subtitle, description, keywords), performing competitive analysis, or validating App Store listing requirements. Triggers on queries about App Store optimization, metadata review, or screenshot strategy.
How do I install app-store-aso?
Run npx skills add https://github.com/timbroddin/app-store-aso-skill --skill app-store-aso in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/app-store-aso/ (personal) or .claude/skills/app-store-aso/ (project).
Which AI agents can use app-store-aso?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is app-store-aso safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains app-store-aso?
It is published by timbroddin in timbroddin/app-store-aso-skill. It has 496 recorded installs.
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