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EronredEronred/aso-skills/skills/metadata-optimization/SKILL.md

metadata-optimization

Skill2.2k starsChanged 9 months agoMITView on GitHub

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.

5 other projects use a version of this.

Trending

Quiet since March.thin dataabout the whole repository

Dec 2025: 0 mentionsJan 2026: 0 mentionsFeb 2026: 0 mentionsMar 2026: 1 mentionApr 2026: 0 mentionsMay 2026: 0 mentionsJun 2026: 0 mentionsJul 2026: 0 mentionsAug 2026: 0 mentionsSep 2026: 0 mentionsOct 2026: 0 mentionsNov 2026: 0 mentions
Dec 2025Jun 2026Nov 2026
Mentions a month of the Eronred/aso-skills repository that our weekly crawl found: only 1 in all, so this is a hint, not a trend. There is no adoption data for this file yet.

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Who's talking about Eronred/aso-skills

The biggest 1 of 1 mention linking to the repository that our crawl found. Each line is their own headline.

Used with

Projects with it also use revenue-analysis and review-analysis.

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.
  • trysonarSkill

    revenue-analysis

    When the user wants to estimate or benchmark app revenue and downloads — validating an app idea, sizing a niche, comparing monetization across apps, or reading their own App Store Connect sales on the App Store or Google Play. Also use when the user mentions "how much does this app make", "revenue estimate", "app downloads estimate", "market size", "is this niche profitable", or "my sales". For finding the apps to benchmark, see market-discovery. For full competitor teardowns, see competitor-analysis.

    Also in 3 projects that use this

  • liangdabiaoSkill

    review-analysis

    对亚马逊商品评论进行深度分析,自动识别产品痛点、分析退货原因,生成改进建议和客服回复模板。Invoke when user uses /review-analysis command with a product ASIN.

    Also in 3 projects that use this

The file

Show its rules and text

We split this skill into the rules it gives an agent

20 rules. 0 are common, 18 are distinctive, and 2 are very specific to this project.

  • 0

    Common

    Most of the 3 edited versions we read keep these.

  • 18

    Distinctive

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Check for app-marketing-context.md — read it for positioning and target audience

    line 14
  2. Distinctive:

    Ask for the App ID (to see current metadata)

    line 15
  3. Very specific:

    Ask for target keywords (or suggest running keyword-research first)

    line 16
  4. Distinctive:

    Ask for platform (iOS / Android / Both)

    line 17
  5. Distinctive:

    Ask for target country (default: US)

    line 18
  6. Distinctive:

    Don't stuff multiple keywords unnaturally

    line 54
  7. Distinctive:

    Must read naturally — users see this in search results

    line 55
  8. Distinctive:

    Use the full 30 characters

    line 56
  9. Distinctive:

    Avoid special characters that waste space (™, ®)

    line 57
  10. Distinctive:

    Goal: Add secondary keywords that complement the title.

    line 63
  11. Distinctive:

    Never repeat keywords from the title

    line 66
  12. Distinctive:

    Never repeat words from title or subtitle

    line 79
  13. Distinctive:

    Use singular forms only (Apple indexes both)

    line 80
  14. Distinctive:

    Don't include your app name or category name

    line 81
  15. Distinctive:

    Don't include "app" or "free"

    line 82
  16. Distinctive:

    Don't include competitor brand names (policy violation)

    line 83
  17. Distinctive:

    Use line breaks and emoji for scannability

    line 104
  18. Distinctive:

    Use keyword variations and synonyms

    line 113
  19. Distinctive:

    Don't keyword stuff — Google penalizes this

    line 114
  20. Distinctive:

    Not using all available characters

    line 161

“Common” is measured: kept by at least 6 in 10 of the 3 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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
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)

FieldLimitIndexed for Search?Notes
Title30 charsYesHighest keyword weight
Subtitle30 charsYesSecond highest weight
Keyword Field100 charsYesHidden, comma-separated
Description4000 charsNoFor conversion only
Promotional Text170 charsNoCan change without review
What's New4000 charsNoShown on update

Google Play (Android)

FieldLimitIndexed for Search?Notes
Title30 charsYesHighest keyword weight
Short Description80 charsYesVisible on listing
Full Description4000 charsYesKeyword 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

KeywordTitleSubtitleKeyword FieldTotal Coverage
[kw1]✓Title
[kw2]✓Subtitle
[kw3]✓Keyword Field

Before/After Comparison

FieldCurrentRecommendedImprovement
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

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