metadata-optimization
by EronredUse the metadata-optimization skill to write and refine App Store and Google Play metadata with clear keyword targeting and platform limits. It helps with titles, subtitles, keyword fields, and descriptions when you want search visibility without sacrificing conversion. Best for metadata-optimization usage, metadata-optimization guide, and metadata-optimization for SEO Content.
This skill scores 78/100, which means it is a solid directory listing for users who need App Store metadata optimization help. The trigger is explicit, the workflow is concrete, and the repository gives enough operational detail to reduce guesswork versus a generic prompt, though it would still benefit from more reusable support material.
- Explicit trigger coverage for App Store metadata tasks, including title, subtitle, keyword field, and description.
- Clear initial workflow: asks for App ID, target keywords, platform, and country before drafting.
- Strong operational specificity with platform character limits and indexed-field guidance.
- No install command, scripts, or reference files, so users must rely on the skill text alone.
- Support appears focused on metadata drafting/optimization; broader ASO work is delegated to sibling skills like keyword-research and aso-audit.
Overview of metadata-optimization skill
What the metadata-optimization skill does
The metadata-optimization skill helps you write and refine App Store and Google Play metadata that balances search visibility with conversion. Use it when you need a better title, subtitle, keyword field, description, or store listing draft and want the output to respect platform limits instead of guessing.
Who it is for
It is best for ASO practitioners, app founders, growth marketers, and AI agents working from partial product context. If you already know the app’s value prop and want tighter store copy, the metadata-optimization skill is a strong fit. If you need keyword discovery first, pair it with keyword-research; if you need a broader diagnosis of the listing, aso-audit is the better starting point.
What makes it useful
The main value is constraint-aware writing. The skill explicitly asks for app ID, platform, target country, and target keywords, which reduces vague output and improves relevance. It also separates indexed fields from conversion-only fields, which matters when you are deciding where to place a keyword versus where to persuade a user.
How to Use metadata-optimization skill
Install and load the skill
Use the metadata-optimization install workflow through your skills manager, for example:
npx skills add Eronred/aso-skills --skill metadata-optimization
After install, open skills/metadata-optimization/SKILL.md first. This skill does not ship with helper folders, so the core logic is concentrated in that file.
What to provide before prompting
For the best metadata-optimization usage, give the model the same inputs the skill asks for: App ID, platform, target country, current listing if available, and a target keyword set. If you only say “optimize my title,” the result will be generic. A stronger prompt is: “Optimize metadata for my iOS meditation app in US, using these target keywords: calm breathing, sleep timer, anxiety relief. Keep title under 30 chars and preserve brand name.”
A practical workflow
- Confirm the platform and locale.
- Pull the current store listing or app marketing context.
- Decide whether the job is discovery-first or conversion-first.
- Feed the skill the target keywords and any terms that must stay.
- Ask for a field-by-field draft, then review against character limits and intent match.
This workflow keeps the metadata-optimization guide focused on usable store copy instead of abstract rewriting.
Files and sections to read first
Start with SKILL.md, especially Initial Assessment and Platform-Specific Limits. Those sections tell you what inputs are required and where the constraints differ between iOS and Android. If your workflow depends on brand positioning, add app-marketing-context.md before prompting so the copy reflects the actual audience and offer.
metadata-optimization skill FAQ
Is metadata-optimization only for app titles?
No. The metadata-optimization skill covers title, subtitle, keyword field, description, and related listing text. It is most helpful when you need the fields to work together instead of optimizing each one in isolation.
Do I need keyword research first?
Not always, but it helps. If you already have strong target keywords, the skill can turn them into compliant metadata. If not, run keyword-research first so the metadata-optimization for SEO Content step has better raw material.
Can I use it instead of a normal prompt?
Yes, and that is usually the point. A normal prompt often misses platform limits, indexing rules, and country-specific assumptions. The metadata-optimization skill bakes those decisions into the workflow, which makes the output more reliable for store publishing.
Is it beginner-friendly?
Yes, if you can provide basic app context. Beginners usually struggle when they do not know their audience or target terms; in that case, the skill still works, but the first output will be less precise until you add better inputs.
How to Improve metadata-optimization skill
Improve the inputs, not just the wording
The biggest quality jump comes from better source material. Give the skill your current listing, brand name rules, top competitors, target country, and the few keywords you actually want to win. A prompt like “make it better” is weak; “preserve brand, target ‘sleep tracker’ and ‘white noise,’ remove jargon, and keep the subtitle benefit-led” is far more actionable.
Watch for common failure modes
The main failure mode is overstuffing keywords into fields that should read naturally. Another is writing for global English when the store is local-market specific. For metadata-optimization, also check character counts, keyword precedence, and whether the description is being treated like a search field when it should be conversion copy.
Iterate in small passes
Use the first output as a draft, not a final. Ask for one revision focused on keyword inclusion, another on conversion clarity, and a final pass for platform compliance. That sequence usually produces stronger metadata-optimization usage results than asking for “more optimized” in one shot.
Compare against the real listing before publishing
Before you ship, compare the draft to the live store page and make sure the updated metadata still matches the actual app experience. The best metadata-optimization guide outcome is not just better phrasing; it is better relevance, fewer mismatches, and a listing that can convert the traffic it attracts.