ASO Skills
MIT-licensed App Store Optimization skills for Claude Code, Cursor and other Agent Skills hosts, with optional live App Store data from a commercial API
ASO Skills is a repository of 40 App Store Optimization and app-marketing skills — listing audits, keyword research, metadata writing, Apple Search Ads, paywall and retention work, rejection recovery — packaged in the Agent Skills format so Claude Code, Cursor or any compatible host can load them. The skills are MIT-licensed and free, and the README is straightforward that they work standalone on general ASO knowledge; the live App Store data several of them are designed around comes from Appeeky, the maintainer's own commercial API. The honest way to read the repo is that the method is open and the data is a product, which is a reasonable trade as long as you know which half you are installing.
What ASO Skills is
ASO Skills (github.com/Eronred/aso-skills) is not software you run. It is 40 directories of structured instructions — frameworks, scoring rubrics and output templates written in markdown — that an agent host loads and an agent reads before it answers you. Installation is a one-line fetch into your skills directory for Claude Code, a remote rule for Cursor, or a git submodule for anything else that follows the Agent Skills convention. At 1,747 stars as of 2026-08-13 and first published in February 2026, it is young, and the traction is real rather than inherited from an older project.
The coverage is wider than the name suggests, which is the main reason it is worth a look even if you already know ASO. Roughly a quarter of it is store-listing work in the narrow sense; the rest is the surrounding job of shipping an app:
- Listing and keywords A ten-factor listing audit that returns a score, keyword research grouped into primary, secondary and long-tail, metadata drafting with character counts, seasonal keyword planning, and a separate Google Play track — the two stores index descriptions differently and a single skill would have had to fudge it.
- Creative and localisation Screenshot slot strategy, App Preview video scripts against Apple and Play specs, icon testing through Product Page Optimization or Play Experiments, custom product pages, and a market-prioritisation matrix for deciding which locales are worth translating at all.
- Acquisition and revenue Apple Search Ads campaign structure, user-acquisition campaigns across Meta and Google, creator and UGC programmes, paywall diagnostics, trial nurture and churn work, plus the App Store featuring pitch and In-App Events calendar.
- Measurement and recovery An event-tracking plan, SKAdNetwork and MMP attribution setup, store-listing A/B tests with sample sizing, crash triage, and a rejection-recovery skill that maps an Apple or Google rejection to the guideline it cites and drafts the Resolution Center reply.
A router skill sits in front of the rest so you can describe what you want in a sentence instead of memorising forty names, and a context skill writes a shared document about your app that the others read. Those two are the load-bearing pieces — see below.
Four things to check before you install any skill pack
Agent skills are the easiest software in the world to adopt, which is exactly the problem: a one-line command puts somebody else's instructions inside your agent's head, and nothing about the install tells you what you just agreed to. This order works for any pack, and ASO Skills happens to answer all four clearly, which is more than most manage.
- Read the licence This one is MIT, so you can copy, modify and keep using it whatever happens upstream. A pack under a share-alike or source-available licence is a different decision if you plan to embed it in a product.
- Find out where the data comes from Many of these skills are designed around Appeeky, the maintainer's commercial App Store data API, connected over MCP with your own key. The README says plainly that skills work standalone on general ASO knowledge and that the API adds live rankings, competitor metadata and download estimates. Standalone still gives you the frameworks; it does not give you your competitor's current keyword set.
- Check who maintains it and when it last moved This is a single-maintainer repository backed by a company, with substantive updates through July 2026. That is a normal and workable shape for a content pack, but it means the pack's future is one person's roadmap, and store rules change more often than markdown does.
- Decide what it is allowed to do Skills that only advise are safe to install broadly. Skills wired to an API that can read your App Store Connect revenue deserve a deliberate decision about which agent gets that key, and anything that could publish or spend belongs behind a human check. A skill is instructions, and instructions from a file are exactly what a prompt injection also looks like to a model.
Where it fits, and what we learned shipping a skill catalogue
We distribute agent skills into customer workspaces ourselves — a few dozen of them — and two things we learned the hard way apply directly to a pack this size. The first is that a catalogue competes for the model's attention budget. Past a certain total length, the host stops giving the model each skill's description and shows only names, so a skill's careful instructions are not in context until something opens it. Forty skills is comfortably past that line on most hosts. The practical consequence is that the router and the shared context document are not conveniences, they are the parts that decide whether the good content is ever read — if the agent picks the wrong skill, the right one might as well not be installed.
The second is that copied skills rot silently. We once carried twenty skills copied from upstream repositories into our own tooling; when we finally audited, they had gone three months without an update and nothing had ever told us, because a copied markdown file records no version and no upstream. We deleted them, and now run a weekly drift check against the upstreams we deliberately vendor. If you install this pack, note what you took and re-read it occasionally — a screenshot spec or an Apple guideline reference can be quietly wrong long before anyone opens an issue about it.
Where a pack like this ends is also worth being clear about: it makes your agent better at telling you what to do, and it stops there. Someone still has to write the metadata, ship the build, brief the screenshots and answer the reviews. That gap is the one AgentCeres — the AI Growth Officer at agentceres.com — is built to close for the marketing side, with a roster of specialists that draft and execute the work and a human approving anything that publishes or spends. For the store-side background, how do I do app store optimization for my app is the plain-language version, how do I get downloads for my app covers demand outside the store, and app-store-screenshots is the open-source tool for the creative half.
FAQ
- Is ASO Skills free?
- The skills are MIT-licensed and cost nothing to install or modify. What is not free is the live App Store data: several skills are designed around Appeeky, the maintainer's commercial API, connected with your own key over MCP. The README states that skills work standalone on general ASO knowledge, so an unpaid install still gives you the frameworks, scoring rubrics and templates — you supply the numbers yourself, from App Store Connect or wherever you already look.
- Do I need Claude Code to use it?
- No. It follows the Agent Skills convention, so it works with any host that reads a skills directory — Claude Code, Cursor, and others that support the same layout. The repository documents a CLI install, a Cursor remote rule, a plain directory copy, and a git submodule for anything else. There is nothing runtime-specific in the skills themselves; they are markdown that an agent reads.
- Does it cover Google Play or only the App Store?
- Both, but not evenly. The framing is Apple-first — Apple Search Ads, custom product pages, In-App Events and App Clips all have dedicated skills — with a separate Android skill covering Play-specific ground such as indexed description strategy, the short description, Play Experiments and rating recovery. That split reflects how the two stores actually differ rather than a gap: Play indexes your long description for keywords and Apple does not, so shared advice would be wrong for one of them.
- Will installing 40 skills slow my agent down?
- It will not slow execution, but it does change how the agent picks. Most hosts have a budget for how much of a skill catalogue they put in front of the model, and past that point the model sees names without descriptions. In practice that means selection quality drops as a catalogue grows, which is why this pack ships a router skill as the intended entry point. Install the subset you actually work on if you want tighter behaviour — the CLI supports naming individual skills.
You built it. Now grow it.
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