Suede Aso
JasonColapietro/suede-creator-skills
Suede-owned app-store optimization discipline for keyword fields, titles, subtitles, descriptions, screenshots, ratings context, and competitor listing audits.
When the user wants to optimize App Store metadata — title, subtitle, keyword field, or description.
Install Metadata Optimization
$ npx skills add appeeky/aso-skills --skill metadata-optimization -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install appeeky/aso-skills metadata-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/appeeky/aso-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/metadata-optimization .claude/skills/metadata-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 "metadata-optimization" agent skill from https://github.com/appeeky/aso-skills/tree/main/skills/metadata-optimization into .claude/skills/metadata-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metadata-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/appeeky/aso-skills/tree/main/skills/metadata-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 appeeky/aso-skills --skill metadata-optimization -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install appeeky/aso-skills metadata-optimization --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/appeeky/aso-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/metadata-optimization .agents/skills/metadata-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 "metadata-optimization" agent skill from https://github.com/appeeky/aso-skills/tree/main/skills/metadata-optimization into .agents/skills/metadata-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metadata-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 appeeky/aso-skills --skill metadata-optimization -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install appeeky/aso-skills metadata-optimization --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/appeeky/aso-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/metadata-optimization .cursor/skills/metadata-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 "metadata-optimization" agent skill from https://github.com/appeeky/aso-skills/tree/main/skills/metadata-optimization into .cursor/skills/metadata-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metadata-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/appeeky/aso-skills.git --path skills/metadata-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 appeeky/aso-skills --skill metadata-optimization -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install appeeky/aso-skills metadata-optimization --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/appeeky/aso-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/metadata-optimization .gemini/skills/metadata-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 "metadata-optimization" agent skill from https://github.com/appeeky/aso-skills/tree/main/skills/metadata-optimization into .gemini/skills/metadata-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metadata-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 appeeky/aso-skills metadata-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 appeeky/aso-skills --skill metadata-optimization -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/appeeky/aso-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/metadata-optimization .github/skills/metadata-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 "metadata-optimization" agent skill from https://github.com/appeeky/aso-skills/tree/main/skills/metadata-optimization into .github/skills/metadata-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metadata-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 appeeky/aso-skills --skill metadata-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 appeeky/aso-skills metadata-optimization --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/appeeky/aso-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/metadata-optimization .opencode/skills/metadata-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 "metadata-optimization" agent skill from https://github.com/appeeky/aso-skills/tree/main/skills/metadata-optimization into .opencode/skills/metadata-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metadata-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
metadata-optimization- GitHub stars
- 2.1k
- Token cost
- ~1.5k tokens
- SKILL.md length
- 679 words
- Files
- 1
- Skills in repo
- 39
- Repo updated
- First seen
- Licence
- MIT
At a glance
When the user wants to optimize App Store metadata — title, subtitle, keyword field, or description.
- Works in 5 steps: Check for app-marketing-context.md —… → Ask for the App ID (to see current… → Ask for target keywords (or suggest… → …
- Wants to optimize App Store metadata — title
- SKILL.md covers Initial Assessment, Platform-Specific Limits, Optimization Framework and Output Format, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Metadata Optimization is an agent skill from appeeky/aso-skills. 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.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Media & Creative, covering App store release, Transcription and Keyword research. It works with iOS and Android. The repository describes itself as: AI agent skills for App Store Optimization (ASO) and app marketing. Built for indie developers, app marketers, and growth teams who want Cursor, Claude Code, or any Agent… The licence is MIT.
When your agent uses it
- Wants to optimize App Store metadata — title
- The user mentions optimize my title
- Character limits
- App description
Example prompts
- “optimize my title”
- “ASO metadata”
- “keyword field”
- “/metadata-optimization”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Check for app-marketing-context.md — read it for positioning and target audience
- Ask for the App ID (to see current metadata)
- Ask for target keywords (or suggest running keyword-research first)
- Ask for platform (iOS / Android / Both)
- Ask for target country (default: US)
What it can do on your machine
Read from SKILL.md and the folder at commit 3919d7c. 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
No scripts in the folder and no shell commands in SKILL.md.
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
Metadata Optimization loads about 1.5k tokens when it runs. Until then it costs about 88 tokens; SKILL.md has 679 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); files beside SKILL.md are not scanned.
SKILL.md
The full file from appeeky/aso-skills at commit 3919d7c, republished under its MIT licence (© appeeky). 679 words, ~1,495 tokens.
Download SKILL.mdSave it as
.claude/skills/metadata-optimization/SKILL.md (or your agent's skills folder).- name
- metadata-optimization
- description
- 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.
- metadata.version
- 1.0.0
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
- Check for
app-marketing-context.md— read it for positioning and target audience - Ask for the App ID (to see current metadata)
- Ask for target keywords (or suggest running
keyword-researchfirst) - Ask for platform (iOS / Android / Both)
- 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]/100Description (iOS — Conversion Focus)
Structure:
- Hook (first 3 lines) — This is all users see before "more". Make it count.
- Social proof — Awards, press mentions, user count, rating
- Key features — 4-6 bullet points with benefits, not just features
- How it works — Simple 3-step explanation
- Testimonial or review quote — Real user voice
- 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
Show full SKILL.md (228 more words)Show less
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:
- Recommended version (primary recommendation)
- Alternative A (different keyword emphasis)
- 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 keywordsaso-audit— Broader audit that includes metadata qualitylocalization— Adapt metadata for international marketsab-test-store-listing— Test metadata variationscompetitor-analysis— See how competitors write their metadata
© appeeky, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/metadata-optimization of appeeky/aso-skills.
Open the folder on GitHubat commit 3919d7c
Compare with similar skills
Metadata 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 |
|---|---|---|---|---|---|---|
| Metadata Optimization this skillappeeky/aso-skills | 2.1k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Suede AsoJasonColapietro/suede-creator-skills | 127 | — | ~3.9k | Automated safety check: Pass | MIT | |
| Shotshypersocialinc/shots | 240 | — | ~2k | Automated safety check: Pass | None | |
| App Store Optimizationalirezarezvani/claude-skills | 28k | 1 repos | ~4.2k | Automated safety check: Pass | MIT | |
| Asoarnabbagxd/Brand-building-skills | 719 | — | ~2.4k | Automated safety check: Pass | MIT | |
| App Adskostja94/marketing-skills | 1k | — | ~781 | Automated safety check: Pass | MIT |
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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.
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arnabbagxd/Brand-building-skills
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When the user wants to run app install ads, user acquisition (UA), or promote mobile apps.
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Related
Categories
Questions about Metadata Optimization
What does Metadata Optimization do?
When the user wants to optimize App Store metadata — title, subtitle, keyword field, or description. Metadata Optimization is an agent skill from appeeky/aso-skills. When the user wants to optimize App Store metadata — title, subtitle, keyword field, or description.
When should I use Metadata Optimization?
Metadata Optimization fits situations like: wants to optimize App Store metadata — title; the user mentions optimize my title; character limits; app description.
How do I install Metadata Optimization in Claude Code?
Run `npx skills add appeeky/aso-skills --skill metadata-optimization -a claude-code`. Or copy the skill folder (skills/metadata-optimization in appeeky/aso-skills) into .claude/skills/metadata-optimization in your project. Claude Code loads it when a task matches its description.
How do I install Metadata Optimization in Codex?
Run `npx skills add appeeky/aso-skills --skill metadata-optimization -a codex`. Or copy the skill folder (skills/metadata-optimization in appeeky/aso-skills) into .agents/skills/metadata-optimization in your project. Codex loads it when a task matches its description.
Can I use Metadata 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 appeeky/aso-skills --skill metadata-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/metadata-optimization, .gemini/skills/metadata-optimization, .github/skills/metadata-optimization and .opencode/skills/metadata-optimization in your project.
What does Metadata Optimization need to run?
SKILL.md names no scripts, command-line tools or credentials: Metadata Optimization is instructions for the agent only.
Does Metadata 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 Metadata 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. Review the folder before installing.
What licence does Metadata Optimization use?
Metadata 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 Metadata Optimization use?
About 1.5k tokens (SKILL.md is roughly 6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Metadata Optimization?
Skills that share tags, products or a category with Metadata Optimization: Suede Aso (JasonColapietro/suede-creator-skills, 127 stars), Shots (hypersocialinc/shots, 240 stars), App Store Optimization (alirezarezvani/claude-skills, 28k stars) and Aso (arnabbagxd/Brand-building-skills, 719 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Metadata Optimization?
appeeky (a GitHub organization) maintains it in appeeky/aso-skills, which has 2,149 GitHub stars. The repository holds 39 skills in this directory. The repository was last updated on October 6, 2026.
Source: appeeky/aso-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.