aso-audit
by Eronredaso-audit skill for running a structured ASO audit of an app store listing. Use it to diagnose ranking issues, score metadata, screenshots, ratings, keywords, competitors, and review sentiment, then turn findings into a prioritized action plan. Best for audit-first workflows, including aso-audit for SEO Content.
This skill scores 78/100, which means it is a solid listing candidate for directory users who want a structured ASO audit instead of prompting from scratch. The trigger language is explicit, the workflow is concrete, and the skill provides enough audit scaffolding to reduce guesswork, though users should expect some reliance on external data sources or manual input when integrations are unavailable.
- Clear triggerability for ASO audits, ranking diagnosis, and listing reviews in the description and frontmatter.
- Concrete audit workflow: asks for App ID, target country, and platform, then walks through a scored ASO framework.
- Good operational depth with substantial SKILL.md content, sectioned headings, and prioritized action-plan intent.
- No install command or supporting files, so setup and any external API/MCP dependency may require manual configuration.
- The audit depends on app metadata, rankings, competitor data, or user-provided inputs, which can limit automation if data access is unavailable.
Overview of aso-audit skill
What aso-audit is for
The aso-audit skill is for running a structured ASO health check on an app store listing, not for writing copy from scratch. It helps you diagnose why an app is underperforming, compare the listing against competitors, and turn messy ASO concerns into a prioritized action plan. If you need an aso-audit for SEO Content workflow, this is the skill to use when the goal is audit-first, not keyword brainstorming.
Who gets the most value
Use aso-audit if you manage an app listing, want a quick ranking diagnosis, or need to explain ASO issues to a product or marketing team. It is most useful when you already have an app ID, a target country, and a platform in mind, because those inputs let the audit move from vague advice to a real review.
What makes it different
The skill is built around a score-based framework: title, metadata, screenshots, ratings, keywords, competitors, and review sentiment. That makes the output more decision-ready than a generic prompt because it pushes the model to rank issues and recommend what to fix first. The main tradeoff is that it works best when you can provide app data or allow the model to retrieve it.
How to Use aso-audit skill
Install and starting point
Use the aso-audit install flow from the directory’s normal skill installer, then open skills/aso-audit/SKILL.md first. For a fast read on scope, skim the opening instructions, then check how the audit is structured before you copy anything into your own workflow. If your environment supports it, also look for app-marketing-context.md in the project before you prompt the skill.
What to provide before you ask
The aso-audit usage sweet spot is a prompt that includes the app ID, platform, target country, and the reason for the audit. Strong input looks like this: “Audit my iOS listing for US. App ID: 123456789. We dropped in organic installs after a metadata update, and I want the top 5 fixes ranked by impact.” If you already know the issue, say it; if not, ask for a broad ASO health audit and let the skill diagnose the gaps.
Practical workflow
A good aso-audit guide workflow is: identify the app, collect listing and competitor data, score the major ASO elements, then turn the findings into a short action plan. If you can access external data through Appeeky MCP or API, use it; if not, feed the skill your current title, subtitle, description, screenshots, and any known rankings. That choice materially affects output quality, because the skill is designed to audit real listing inputs rather than infer everything from memory.
Best files to read first
Start with SKILL.md because it contains the audit logic and the initial assessment questions. If you are integrating the skill into a broader process, read any referenced context file such as app-marketing-context.md before execution, since that is where brand and market constraints usually live. The repo is small, so the file tree is light, but the skill file itself is the key source of truth.
aso-audit skill FAQ
Is aso-audit mainly for audits or for rewriting metadata?
It is mainly for audits. The aso-audit skill can point to metadata weaknesses, but its core value is diagnosis, scoring, and prioritization. If your primary need is to generate new titles, subtitles, or descriptions, a metadata-writing skill is usually the better fit.
Do I need a data source to use it well?
Not strictly, but better data makes the audit much more useful. The skill works best with app metadata, rankings, competitors, and review signals. Without that, the output will lean more on heuristic analysis and less on evidence.
Is it beginner-friendly?
Yes, if you can answer a few basic questions and share the app ID. It is especially beginner-friendly when you want a clear ASO audit without learning the whole app store optimization framework first. The main limitation is that beginners may need help interpreting the score and choosing the highest-impact fix.
When should I not use aso-audit?
Do not use it when you only need keyword discovery, a brand-new metadata draft, or a narrow copy edit. It is also less useful if you cannot name the app, platform, and market, because those inputs are essential to a meaningful audit. In those cases, the aso-audit skill will be forced to guess too much.
How to Improve aso-audit skill
Give it decision-grade inputs
The fastest way to improve aso-audit is to provide the exact listing context: app ID, platform, country, category, current metadata, and your growth goal. If ranking dropped after a change, say when the change happened and what changed. That lets the skill separate obvious listing problems from broader market or seasonality issues.
Ask for ranked fixes, not just a score
A common failure mode is stopping at the ASO score. Ask for the top 3 to 5 fixes ranked by impact, effort, and confidence. For example: “After the audit, tell me what to change this week, what to test next month, and what not to touch yet.” That makes the aso-audit output more actionable for SEO Content and product teams.
Iterate with evidence
After the first pass, feed back new data: updated metadata, screenshot variants, ranking changes, or review themes. Then ask the skill to re-audit only the changed areas. This improves the second pass because it turns the skill from a one-off review into a feedback loop for ongoing ASO work.