# Eronred/aso-skills

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 Skills-compatible AI assistant to help with keyword research, metadata optimization, competitor analysis, and app growth.

Repository: https://github.com/Eronred/aso-skills
Canonical: https://ross.abutalabs.com/products/aso-skills
Homepage: https://appeeky.com/
Language: MDX
License: MIT
License Family: permissive
Topics: aso, marketing, mobile-app, mcp, skills, app-store-analytics, app-store-connect, app-store-live, app-store-optimization
Last push: 2026-08-22T21:55:42+00:00

## Health v2 (maintenance only)
Score: 59/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 35, longevity 13
- inputs: {"age_days": 187, "days_push": 11, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1796, forks 113 (observed 2026-08-28T04:05:37.447751+00:00)

## What it is
A collection of AI agent skills for App Store Optimization (ASO) and mobile app marketing, installable into Cursor, Claude Code, or any Agent Skills-compatible assistant. Skills provide frameworks for keyword research, metadata optimization, competitor analysis, and market intelligence, powered by real App Store data via the Appeeky API.

## Use cases
- run an ASO audit for my app
- find the best keywords for a meditation app
- optimize my App Store title and subtitle
- analyze competitor apps in the App Store
- how many downloads do I need to reach top 10 in Health & Fitness
- give me a market briefing for the Games category
- track my app's downloads and revenue trends

## When to choose
- you use Cursor, Claude Code, or another Agent Skills-compatible AI assistant and want expert ASO guidance in your IDE
- you're an indie developer or growth team doing keyword research and App Store metadata optimization
- you want competitor analysis and market intelligence grounded in real App Store data

## When to avoid
- you need a standalone ASO dashboard rather than AI-agent-driven workflows
- you're optimizing for Google Play only with no App Store focus
- you don't use any AI coding assistant or agent tooling
- you want fully free tooling — real data requires the Appeeky API, which is a paid service

## Facets
- artifact type: plugin
- maturity: active
- function: agent-framework, mcp, analytics, search-engine, developer-tools
- domain: mobile-development, artificial-intelligence, analytics
- platform: cross-platform, cli, editor-plugin
- tags: aso, app-store-optimization, agent-skills, cursor, claude-code, app-marketing, keyword-research, app-store-connect, indie-developers, mdx, marketing, ai-agents, macos

## Member repositories
- Eronred/aso-skills (main) score 59

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:37.447751+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:22:47.763548+00:00, confidence not recorded.
  - readme: https://github.com/Eronred/aso-skills (fetched 2026-08-28T04:05:37.447751+00:00, sha 220efefccd3f)
  - homepage: https://appeeky.com/ (fetched 2026-08-29T11:01:42.062435+00:00, sha 7492ccea7dc8)
  - site_page: https://www.appeeky.com/pricing (fetched 2026-08-29T11:01:42.072114+00:00, sha 8ecee2a7a18b)
- Data as of 2026-08-30T08:39:29.467469+00:00.