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Seasonal Aso

CommunityPopular
Eronred
seasonal-aso

When the user wants to optimize their App Store listing for seasonal events, holidays, or trending moments — including keyword opportunities, metadata updates, screenshot theming, and timing strategy. Use when the user mentions "seasonal", "holiday", "Christmas", "New Year", "Valentine's Day", "summer", "back to school", "seasonal keywords", "trending now", "limited time", or wants to capitalize on a calendar event. For general keyword research, see keyword-research. For full metadata rewrites, see metadata-optimization.

Overview

PublisherEronred
Repositoryaso-skills
Skill nameseasonal-aso
Stars
1.9K
Forks
116
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Eronred on GitHub. Read the source before you install it.

Installation

Install the Seasonal Aso AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Eronred/aso-skills.git /tmp/aso-skills
mkdir -p .claude/skills
cp -r /tmp/aso-skills/skills/seasonal-aso .claude/skills/seasonal-aso
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Seasonal Aso in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Seasonal Aso on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Seasonal Aso is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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)

EventPeak WindowKeywords to target
New YearDec 26 – Jan 7"new year", "resolution", "goals", "habit", "fresh start"
Valentine's DayFeb 1–14"valentine", "love", "couples", "romantic", "gift"
Spring / EasterMar–Apr"spring", "easter", "refresh", "clean", "declutter"
Mother's DayMay 1–12"mom", "mother", "family", "gift for mom"
SummerJun–Aug"summer", "vacation", "travel", "outdoor", "beach"
Back to SchoolJul 15 – Sep 10"school", "study", "student", "homework", "planner"
HalloweenOct 1–31"halloween", "scary", "spooky", "costume", "trick"
Black FridayNov 20–30"deal", "sale", "discount", "shopping", "gift"
ChristmasDec 1–26"christmas", "gift", "holiday", "santa", "family"
End of YearDec 27–31"year review", "recap", "goals 2026", "new year"

Workflow

Step 1 — Identify Relevant Event

  1. Check for app-marketing-context.md
  2. Ask: Which event or season are you targeting?
  3. Ask: What does your app do? (to assess keyword relevance)
  4. 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:

bash
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

Keyword field (100 chars, iOS):

  • Swap out low-performing keywords for seasonal terms
  • Add 2–4 seasonal keywords while preserving your best evergreen terms
  • Remove seasonal terms that are irrelevant to your core use case

Subtitle (30 chars):

  • Consider a seasonal hook if it fits: "Your Holiday Planner" or "New Year Goal Tracker"
  • Only change if the original subtitle is not keyword-critical

Promotional text (170 chars — no review required):

  • Always update for seasonal events — instant, no review
  • Use for: seasonal call-to-action, limited-time feature highlights, event tie-ins

Screenshots:

  • Add a seasonal frame or theme to the first 2 screenshots
  • Use screenshot-optimization skill for creative guidance

Step 4 — Timing Checklist

Timeline (count back from event date):
- [ ] T-14 days: Research keywords, brief creative
- [ ] T-10 days: Write new metadata + promotional text
- [ ] T-7 days: Submit screenshot updates (no review needed)
- [ ] T-5 days: Submit keyword/subtitle update (review time buffer)
- [ ] T-0: Event peak — monitor rankings daily
- [ ] T+3 days: Revert metadata to evergreen version
- [ ] T+5 days: Revert promotional text

Output Format

Seasonal Opportunity Brief

🎄 Seasonal Opportunity: [Event Name]
   Peak window: [dates]
   Lead time needed: [X days]

Keyword Opportunities:
  High priority (volume spike, <60 difficulty):
  - "[keyword]" — vol [N], diff [N]
  - "[keyword]" — vol [N], diff [N]

  Secondary (relevant but competitive):
  - "[keyword]" — vol [N], diff [N]

Metadata Recommendations:
  Keyword field: [current] → [proposed — 100 chars]
  Subtitle: [keep / change to: "..."]
  Promo text: "[seasonal copy — 170 chars]"

Screenshots: [suggest seasonal theme or keep as-is]

Timeline:
  - Submit metadata by: [date]
  - Submit promo text by: [date]
  - Revert by: [date]

Seasonal vs Evergreen Trade-offs

FactorSeasonalEvergreen
VolumeTemporarily very highStable
CompetitionVery high at peakModerate
RiskRankings drop after peakConsistent
RewardSpike in installsSustained growth

Rule: Only swap evergreen keywords that are already underperforming. Never sacrifice a high-ranking keyword for seasonal speculation.

Trending Moments (Non-Calendar)

For viral/trending moments (news events, viral content, app store trends):

  1. Use GET /v1/keywords/trending?country=us&days=3 to spot emerging terms
  2. Act within 24–48 hours (trending windows are short)
  3. Only update promotional text (instant, no review)
  4. Revert after the trend fades (typically 3–7 days)

Related Skills

  • keyword-research — Deep keyword analysis for seasonal candidates
  • metadata-optimization — Rewrite full metadata with seasonal terms
  • screenshot-optimization — Design seasonal screenshot themes
  • market-pulse — Spot trending keywords and market movements in real time

Frequently asked questions

What does the Seasonal Aso AI skill do?

When the user wants to optimize their App Store listing for seasonal events, holidays, or trending moments — including keyword opportunities, metadata updates, screenshot theming, and timing strategy. Use when the user mentions "seasonal", "holiday", "Christmas", "New Year", "Valentine's Day", "summer", "back to school", "seasonal keywords", "trending now", "limited time", or wants to capitalize on a calendar event. For general keyword research, see keyword-research. For full metadata rewrites, see metadata-optimization.

Why use Seasonal Aso on TypingMind?

Because you install it once and use it with any model. Seasonal Aso is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Seasonal Aso in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Eronred/aso-skills/tree/main/skills/seasonal-aso. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Seasonal Aso?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Seasonal Aso?

As many as you like. As long as a model supports skills, you can use Seasonal Aso with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Seasonal Aso AI skill free?

Yes. It is published on GitHub by Eronred under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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