Metadata Optimization logo

Metadata Optimization

CommunityPopular
Eronred
metadata-optimization

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.

Overview

PublisherEronred
Repositoryaso-skills
Skill namemetadata-optimization
Stars
1.9K
Forks
116
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Eronred on GitHub. Read the source before you install it.

Installation

Install the Metadata Optimization AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Eronred/aso-skills.git /tmp/aso-skills
mkdir -p .claude/skills
cp -r /tmp/aso-skills/skills/metadata-optimization .claude/skills/metadata-optimization
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Metadata Optimization in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Metadata Optimization on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Metadata Optimization is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

Frequently asked questions

What does the Metadata Optimization AI skill do?

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.

Why use Metadata Optimization on TypingMind?

Because you install it once and use it with any model. Metadata Optimization is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Metadata Optimization in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Eronred/aso-skills/tree/main/skills/metadata-optimization. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Metadata Optimization?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Metadata Optimization?

As many as you like. As long as a model supports skills, you can use Metadata Optimization with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Metadata Optimization AI skill free?

Yes. It is published on GitHub by Eronred under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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