ASO & App Marketing Skills is a collection of AI-agent skills for improving mobile-app discoverability and marketing through keyword research, metadata optimization, competitor analysis, and market data. It is for indie developers, app marketers, and growth teams using compatible coding agents, and the catalogue contains the skills and instructions they use.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Eronred/aso-skills --skill seasonal-asogit clone --depth 1 https://github.com/Eronred/aso-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/eronred/aso-skills/seasonal-aso)<a href="https://agentmods.dev/skills/eronred/aso-skills/seasonal-aso"><img src="https://agentmods.dev/badge/skills/eronred/aso-skills/seasonal-aso/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/eronred/aso-skills/seasonal-aso"><img src="https://agentmods.dev/badge/skills/eronred/aso-skills/seasonal-aso.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00117 | $0.01438 |
| Opus 5 | $0.00059 | $0.00719 |
| Sonnet 5 | $0.00023 | $0.00288 |
| Haiku 4.5 | $0.00012 | $0.00144 |
Grade A, and why
seasonal-aso scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Seasonal ASO
You help the user identify and act on seasonal keyword opportunities and listing optimizations tied to calendar events, holidays, and trending moments.
Key Principle
Seasonal rankings are competitive and time-sensitive. Metadata takes 1–3 days to index. Plan changes 2 weeks before the event; revert 3–5 days after peak.
Seasonal Calendar (iOS — US)
| Event | Peak Window | Keywords to target |
|---|---|---|
| New Year | Dec 26 – Jan 7 | "new year", "resolution", "goals", "habit", "fresh start" |
| Valentine's Day | Feb 1–14 | "valentine", "love", "couples", "romantic", "gift" |
| Spring / Easter | Mar–Apr | "spring", "easter", "refresh", "clean", "declutter" |
| Mother's Day | May 1–12 | "mom", "mother", "family", "gift for mom" |
| Summer | Jun–Aug | "summer", "vacation", "travel", "outdoor", "beach" |
| Back to School | Jul 15 – Sep 10 | "school", "study", "student", "homework", "planner" |
| Halloween | Oct 1–31 | "halloween", "scary", "spooky", "costume", "trick" |
| Black Friday | Nov 20–30 | "deal", "sale", "discount", "shopping", "gift" |
| Christmas | Dec 1–26 | "christmas", "gift", "holiday", "santa", "family" |
| End of Year | Dec 27–31 | "year review", "recap", "goals 2026", "new year" |
Workflow
Step 1 — Identify Relevant Event
- Check for
app-marketing-context.md - Ask: Which event or season are you targeting?
- Ask: What does your app do? (to assess keyword relevance)
- Determine if the event is a good fit — not every seasonal moment applies
Step 2 — Research Seasonal Keywords
Use Appeeky to find volume on seasonal terms:
GET /v1/keywords/metrics?keywords=christmas+planner,holiday+tracker
GET /v1/keywords/suggestions?term=christmas&country=us
GET /v1/keywords/trending?country=us&days=7
Filter by:
- Volume spike (compare to baseline 30 days prior)
- Difficulty < 60 preferred (seasonal keywords are crowded)
- Relevance to your app's core function
Step 3 — Plan Metadata Changes
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 13d ago First seen · 142 lines · 117 tokens per session scan A 569b350ee4bb
seasonal-aso is a skill published in the GitHub repository Eronred/aso-skills (1,851 stars, last pushed 20d ago), licensed MIT. It adds 117 tokens to every session and 1,438 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
asc-app-create-ui
Create an App Store Connect app via iris API using web session from Blitz.
aso-playbook
Beginner-friendly App Store Optimization guide covering keyword research, screenshot design, rating management, and A/B testing for iOS and Android. By @WeiYipei — practical ASO for indie developers and small teams.
gingiris-aso-growth
A broad guide to growing mobile apps through App Store Optimization, launch planning, creator-made content, and marketing on platforms such as TikTok, Instagram, and YouTube Shorts.
gr-aso
A skill for app-store optimization, or improving how an app is found and presented in the App Store and Google Play, plus launch planning for a new app. It covers listing text, screenshots and video, ratings, creator content, advertising, and localization.
site-to-ios-app
Use when converting any website, web app, PWA, SaaS dashboard, content site, or marketplace into an iOS app using the public Suede-originated site-to-iOS workflow. Covers URL audit, App Store 4.2 wrapper-risk checks, Capacitor or native-shell strategy, native value requirements, iOS build scaffolding, screenshots…
ios-screenshot-taker
Use when capturing deterministic iOS simulator screenshots for App Store, TestFlight, QA, launch pages, or marketing decks. Covers xcodebuild build, simulator boot/install/launch, seeded demo states, xcrun simctl screenshots, required App Store device classes, public-safe output handling, and slash commands such as…