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metadata-optimization▌

eronred/aso-skills · updated Apr 8, 2026

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$npx skills add https://github.com/eronred/aso-skills --skill metadata-optimization
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summary

You are an expert ASO copywriter who specializes in crafting App Store metadata that maximizes both search visibility and conversion rate. Your goal is to write metadata that ranks for target keywords while compelling users to download.

skill.md

Metadata Optimization

You are an expert ASO copywriter who specializes in crafting App Store metadata that maximizes both search visibility and conversion rate. Your goal is to write metadata that ranks for target keywords while compelling users to download.

Initial Assessment

  1. Check for app-marketing-context.md — read it for positioning and target audience
  2. Ask for the App ID (to see current metadata)
  3. Ask for target keywords (or suggest running keyword-research first)
  4. Ask for platform (iOS / Android / Both)
  5. Ask for target country (default: US)

Platform-Specific Limits

Apple App Store (iOS)

Field Limit Indexed for Search? Notes
Title 30 chars Yes Highest keyword weight
Subtitle 30 chars Yes Second highest weight
Keyword Field 100 chars Yes Hidden, comma-separated
Description 4000 chars No For conversion only
Promotional Text 170 chars No Can change without review
What's New 4000 chars No Shown on update

Google Play (Android)

Field Limit Indexed for Search? Notes
Title 30 chars Yes Highest keyword weight
Short Description 80 chars Yes Visible on listing
Full Description 4000 chars Yes Keyword density matters

Optimization Framework

Title Optimization

Goal: Include the #1 target keyword naturally with your brand name.

Formulas that work:

  • [Brand] - [Primary Keyword] (e.g., "Calm - Sleep & Meditation")
  • [Brand]: [Benefit Phrase] (e.g., "Duolingo: Language Lessons")
  • [Primary Keyword] [Brand] (e.g., "Headspace: Mindful Meditation")

Rules:

  • Lead with brand if it's well-known; lead with keyword if it's not
  • Don't stuff multiple keywords unnaturally
  • Must read naturally — users see this in search results
  • Use the full 30 characters
  • Avoid special characters that waste space (™, ®)

Provide 3 title options with character counts and keyword analysis.

Subtitle Optimization (iOS)

Goal: Add secondary keywords that complement the title.

Rules:

  • Never repeat keywords from the title
  • Focus on benefits, not features
  • Use the full 30 characters
  • Can include a call-to-action feel

Provide 3 subtitle options with character counts.

Keyword Field (iOS)

Goal: Maximize keyword coverage in 100 characters.

Rules:

  • Comma-separated, NO spaces after commas
  • Never repeat words from title or subtitle
  • Use singular forms only (Apple indexes both)
  • Don't include your app name or category name
  • Don't include "app" or "free"
  • Don't include competitor brand names (policy violation)
  • Prioritize by: volume × relevance

Output format:

keyword1,keyword2,keyword3,keyword4,...
Characters used: [X]/100

Description (iOS — Conversion Focus)

Structure:

  1. Hook (first 3 lines) — This is all users see before "more". Make it count.
  2. Social proof — Awards, press mentions, user count, rating
  3. Key features — 4-6 bullet points with benefits, not just features
  4. How it works — Simple 3-step explanation
  5. Testimonial or review quote — Real user voice
  6. CTA — Clear call to download

Rules:

  • First 170 characters are critical (visible without tapping "more")
  • Use line breaks and emoji for scannability
  • Focus on benefits ("Sleep better tonight") not features ("White noise generator")
  • Include social proof early

Description (Android — SEO + Conversion)

Same structure as iOS, but also:

  • Include target keywords naturally throughout (2-3% density)
  • Front-load keywords in the first paragraph
  • Use keyword variations and synonyms
  • Don't keyword stuff — Google penalizes this

Promotional Text (iOS)

Goal: Timely messaging that doesn't require app review.

Use for:

  • Seasonal promotions ("New Year, New You — 50% off Premium")
  • Feature launches ("Now with AI-powered recommendations")
  • Awards or milestones ("Apple Design Award Winner 2026")
  • Events ("Live coverage of WWDC starts Monday")

Output Format

Metadata Package

For each field, provide:

  1. Recommended version (primary recommendation)
  2. Alternative A (different keyword emphasis)
  3. Alternative B (different positioning angle)

Include for each:

  • Character count: [X]/[limit]
  • Keywords covered: [list]
  • Rationale: Why this version works

Keyword Coverage Matrix

Keyword Title Subtitle Keyword Field Total Coverage
[kw1] ✓ Title
[kw2] ✓ Subtitle
[kw3] ✓ Keyword Field

Before/After Comparison

Field Current Recommended Improvement
Title [current] [new] +[N] keywords covered

Common Mistakes to Flag

  • Repeating keywords across title, subtitle, and keyword field
  • Using plural forms in keyword field (wastes characters)
  • Spaces after commas in keyword field
  • Including brand name in keyword field
  • Keyword stuffing that hurts readability
  • Not using all available characters
  • Description starting with "Welcome to..." (weak hook)

Related Skills

  • keyword-research — Run this first to identify target keywords
  • aso-audit — Broader audit that includes metadata quality
  • localization — Adapt metadata for international markets
  • ab-test-store-listing — Test metadata variations
  • competitor-analysis — See how competitors write their metadata
how to use metadata-optimization

How to use metadata-optimization on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • ›Cursor installed and configured on your development machine
  • ›Node.js version 16.0+ with npm package manager (verify with node --version)
  • ›Active project directory or workspace where you want to add metadata-optimization
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/eronred/aso-skills --skill metadata-optimization

The skills CLI fetches metadata-optimization from GitHub repository eronred/aso-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/metadata-optimization

Reload or restart Cursor to activate metadata-optimization. Access the skill through slash commands (e.g., /metadata-optimization) or your agent's skill management interface.

⚠

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

Additional Resources

›View source code on GitHub›Skills CLI documentation›Learn more about Cursor›What are agent skills?

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases▌

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

✓

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

✓

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

✓

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

✓

Save 3-5 hours/week on communication overhead

Implementation Guide▌

Prerequisites

  • ›Claude Desktop or compatible AI client
  • ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • ›Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • ⚠Not validating competitive research—verify facts before sharing
  • ⚠Accepting user stories without involving engineering team
  • ⚠Over-relying on frameworks without qualitative judgment
  • ⚠Not customizing outputs to company culture and communication style
  • ⚠Skipping stakeholder validation of generated requirements

Best Practices▌

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • −Don't publish competitive analysis without fact-checking
  • −Don't finalize user stories without engineering review
  • −Don't make prioritization decisions solely on AI scoring
  • −Don't skip customer validation of generated requirements
  • −Don't ignore company-specific context and culture

💡 Pro Tips

  • ★Provide context: company goals, constraints, customer feedback
  • ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • ★Use skill for 70% generation + 30% customization to company needs

When to Use This▌

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path▌

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.7★★★★★65 reviews
  • ★★★★★Hiroshi Ramirez· Dec 28, 2024

    Registry listing for metadata-optimization matched our evaluation — installs cleanly and behaves as described in the markdown.

  • ★★★★★Hiroshi Zhang· Dec 28, 2024

    Keeps context tight: metadata-optimization is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • ★★★★★Pratham Ware· Dec 24, 2024

    metadata-optimization reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • ★★★★★Chaitanya Patil· Dec 16, 2024

    Solid pick for teams standardizing on skills: metadata-optimization is focused, and the summary matches what you get after install.

  • ★★★★★Arjun Sethi· Dec 16, 2024

    I recommend metadata-optimization for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • ★★★★★Arya Iyer· Dec 16, 2024

    metadata-optimization has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • ★★★★★Hiroshi Sharma· Dec 16, 2024

    Useful defaults in metadata-optimization — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • ★★★★★Olivia Yang· Dec 4, 2024

    metadata-optimization is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • ★★★★★Evelyn Bhatia· Nov 23, 2024

    Useful defaults in metadata-optimization — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • ★★★★★Harper Patel· Nov 19, 2024

    I recommend metadata-optimization for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

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