ab-test-store-listing
When the user wants to A/B test App Store product page elements to improve conversion rate. Also use when the user mentions "A/B…
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",
Claude Code
$ npx -y skills add appeeky/aso-skills --skill seasonal-aso --agent claude-code
Codex
$ npx skills add appeeky/aso-skills --skill seasonal-aso -a codex -y
Cursor
$ npx skills add appeeky/aso-skills --skill seasonal-aso -a cursor -y
Gemini CLI
$ npx skills add appeeky/aso-skills --skill seasonal-aso -a gemini-cli -y
GitHub Copilot
$ npx skills add appeeky/aso-skills --skill seasonal-aso -a github-copilot -y
OpenCode
$ npx skills add appeeky/aso-skills --skill seasonal-aso -a opencode -y
Windsurf
$ npx skills add appeeky/aso-skills --skill seasonal-aso -a windsurf -y
name: seasonal-aso description: 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. metadata: version: 1.0.0
You help the user identify and act on seasonal keyword opportunities and listing optimizations tied to calendar events, holidays, and trending moments.
**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.
| 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" |
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
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:**
**Keyword field (100 chars, iOS):**
**Subtitle (30 chars):**
**Promotional text (170 chars — no review required):**
**Screenshots:**
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
🎄 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]
| Factor | Seasonal | Evergreen | |--------|----------|-----------| | Volume | Temporarily very high | Stable | | Competition | Very high at peak | Moderate | | Risk | Rankings drop after peak | Consistent | | Reward | Spike in installs | Sustained growth |
**Rule:** Only swap evergreen keywords that are already underperforming. Never sacrifice a high-ranking keyword for seasonal speculation.
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)
AI agent skills for App Store Optimization (ASO) and mobile 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
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