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Keyword research and strategy for iOS and Android apps. Analyzes keyword difficulty, search volume, relevance, and optimal placement across metadata fields. Platform-aware indexing rules. Triggers on: "keywords", "keyword research", "keyword strategy", "search terms".
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | aso-keywords |
| description | Keyword research and strategy for iOS and Android apps. Analyzes keyword difficulty, search volume, relevance, and optimal placement across metadata fields. Platform-aware indexing rules. Triggers on: "keywords", "keyword research", "keyword strategy", "search terms". |
| user-invokable | true |
| argument-hint | <seed-keywords> [--platform ios|android] [--app-id ID] |
scripts/keyword_density.py for Android density analysisscripts/validate_metadata.py to check iOS keyword field format| Priority | Field | Action |
|---|---|---|
| 1 | App Name (30 chars) | Primary keyword, must be here |
| 2 | Subtitle (30 chars) | Secondary keyword phrase |
| 3 | Keywords field (100 chars) | All remaining keywords, NO duplicates from name/subtitle |
| Priority | Field | Action |
|---|---|---|
| 1 | Title (50 chars) | Primary keyword, natural language |
| 2 | Short Description (80 chars) | Secondary keyword + benefit |
| 3 | Full Description (4000 chars) | All keywords, 2-3% density for primary |
3% density = keyword stuffing risk
# Keyword Strategy: [App Name / Seeds]
## Primary Keywords (high volume, high relevance)
| Keyword | Relevance | Competition | Intent | Placement |
|---------|-----------|-------------|--------|-----------|
## Secondary Keywords (medium volume)
| Keyword | Relevance | Competition | Intent | Placement |
## Long-Tail Keywords (specific, lower competition)
| Keyword | Relevance | Competition | Intent | Placement |
## iOS Metadata Map
- Title: "[suggested title with primary keyword]"
- Subtitle: "[suggested subtitle]"
- Keywords: "[comma,separated,keywords,field]"
## Android Metadata Map
- Title: "[suggested title]"
- Short Description: "[suggested short description]"
- Description keywords: [list with target density per keyword]
Read, Bash, Write, Glob, Grep, WebFetch
Comprehensive App Store Optimization for iOS and Android apps. Full listing audits with parallel subagents, keyword research, metadata optimization, visual asset analysis, review management, competitor intelligence, localization, A/B testing, technical ASO, and conversion rate optimization.
Apple App Store Connect API integration. Fetch iOS app metadata, reviews, ratings, and version info directly from App Store Connect. Requires API key. Triggers on: "app store connect", "asc".
Live ASO data via AppTweak REST API. Keyword suggestions with volume/difficulty, app rankings, competitor analysis, review sentiment, and historical data. Requires AppTweak API key. Triggers on: "apptweak", "live data", "keyword volume".
Full app listing audit with parallel subagent delegation. Scores listing across core ASO categories (0-100), flags problems, generates prioritized action plan. Works in local mode (auto-detect Fastlane/Xcode/Gradle metadata) or remote mode (fetch live listing by app ID). Triggers on: "audit", "full ASO check", "analyze my app", "listing health check".
Visual asset analysis for app store listings. Screenshots, app icon, preview videos. Evaluates composition, narrative flow, text readability, platform compliance, and conversion impact. Triggers on: "screenshots", "icon", "preview video", "visual assets".
Store policy compliance checker for iOS App Store and Google Play. Validates metadata against Apple App Store Review Guidelines and Google Play Developer Program Policies. Catches violations that would cause rejection. Also validates ASO recommendations from other agents. Triggers on: "compliance", "policy check", "guidelines", "store policies", "review guidelines", "will this get rejected", "is this allowed".