market-app
Generate ASO, market research, and marketing materials for a finalized app
- License 许可
- Apache-2.0
- 所属仓库
- bes-dev/etnamute
- 最近更新
- 2026-03-27
- Stars
- ★ 12
- Forks
- 1
01 前言 Front Matter
- name
- market-app
- description
- Generate ASO, market research, and marketing materials for a finalized app
- disable-model-invocation
- true
03 SKILL.md 正文
Prepare market materials for a finalized app: ASO metadata (platform-specific), market research, and launch content. Run after code is complete, before /release-app.
App: $ARGUMENTS
EXECUTION
Step 1: Read current state
apps/<slug>/spec/prd.md— features, positioning, target userapps/<slug>/spec/research.md— initial market research from discovery phase- Scan the app code — understand what was actually built (may differ from original PRD after iterations)
Step 2: Web research
Refresh and deepen the initial research:
- Search for current competitors — may have changed since initial build
- Competitor ASO: extract their titles, descriptions, keywords
- Keyword opportunities: long-tail terms with lower competition
- Market positioning validation
Save updated findings to apps/<slug>/research/:
market_research.md— market size, trends, opportunitiescompetitor_analysis.md— direct/indirect competitors, strengths/weaknessespositioning.md— unique value proposition, differentiation
Use WebSearch — do not hallucinate market data.
Step 3: Generate ASO (platform-specific)
iOS and Google Play are different systems — generate separate metadata.
iOS (apps/<slug>/aso/ios/):
title.txt— ≤30 chars, primary keywordsubtitle.txt— ≤30 chars, no word overlap with titlekeywords.txt— 100 chars, comma-no-space, deduplicated from title+subtitle, singular formsdescription.txt— conversion-focused (NOT indexed for search on iOS)
Android (apps/<slug>/aso/android/):
title.txt— ≤30 chars, primary keywordshort_description.txt— ≤80 chars, contains primary keywordfull_description.txt— 2,500-4,000 chars, primary keyword density 2.5-3%, keywords in first/last 180 chars
See .claude/rules/aso-quality.md for full validation rules.
Step 4: Generate marketing content
Marketing artifacts (apps/<slug>/marketing/):
launch_thread.md— Twitter/X thread (10+ posts)landing_copy.md— landing page headline + body copypress_blurb.md— press one-pagersocial_assets.md— social media descriptions for different platforms
All content must reflect the actual app as built, not the original PRD if features changed.
Step 5: Review with user
Show summary (in user's language):
## Market Prep: <app-name>
### ASO (iOS)
- Title: <title> (<N>/30 chars)
- Subtitle: <subtitle> (<N>/30 chars)
- Keywords: <N>/100 chars used, <N> unique tokens
### ASO (Android)
- Title: <title> (<N>/30 chars)
- Short desc: <N>/80 chars
- Description: <N> chars, <X>% primary keyword density
### Research
- <key market insights>
- <top competitors>
### Marketing
- Launch thread: <N> posts
- Landing copy: ready
- Press blurb: ready
Apply all?
Ask via AskUserQuestion:
question: "Market materials ready. Apply?"
header: "Market"
options:
- label: "Apply all"
description: "Save all research, ASO, and marketing artifacts"
- label: "Need changes"
description: "Want to adjust something first"
- label: "Show details"
description: "Display all generated content for review"
RULES
- iOS and Google Play ASO must be DIFFERENT — never copy-paste between platforms
- Content must reflect actual built features, not original PRD
- Use web research for market data — don't hallucinate
- Generate in the language appropriate for the target market (from PRD §7)
- Flag US-targeted iOS apps without Spanish (Mexico) locale — doubles keyword capacity for free
04 同仓库更多 Skills
visual-review
Read screenshots and verify UI against DESIGN.md, reference mockups, and quality checklist
testing
Full QA procedure — interaction map, unit tests, Maestro flows, visual review
test-app
Run full QA — interaction map, unit tests, Maestro UI tests, visual review
spec-app
Generate PRD through discovery interview and market research — no code
release-app
Build, sign, and submit app to App Store and Google Play — fully automated
react-native
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