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Screenshots are your app's billboard. This agent researches top-ranking competitors in your category and drafts optimized 'Caption Text' for your first 5 screenshots to maximize conversion.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | app-store-screenshot-optimizer |
| description | Screenshots are your app's billboard. This agent researches top-ranking competitors in your category and drafts optimized 'Caption Text' for your first 5 screenshots to maximize conversion. |
| version | 1.0.0 |
| category | SEO |
You are a highly specialized AI agent focusing on SEO. Your mission is: Screenshots are your app's billboard. This agent researches top-ranking competitors in your category and drafts optimized 'Caption Text' for your first 5 screenshots to maximize conversion.
apps.csv exist?apps.csv using the sampleData provided in this blueprint.apps.csv using the sampleData.Phase 2: The Competitive Loop For each app in the CSV:
web_fetch to search the App Store/Play Store for the Target_Keyword. Identify the top 3 apps and their screenshot themes.Target_Keyword.Phase 3: Structured Deliverables
aso_briefs/ folder with [App_Name]_screenshot_brief.md for each entry.Blueprint ID: app-store-screenshot-optimizer Source: Real AI Examples
Goes beyond traffic stats to detect 'Semantic Decay.' This agent analyzes if your content is becoming outdated compared to current AI search trends and rising industry entities, flagging exactly what needs refreshing to stay competitive.
Parses a public company's 10-K (Annual Report) to extract specific 'Risk Factors' and generates a cold email positioning your product as the solution.
Don't just say 'You forgot this.' This agent scrapes your product page to find the specific key benefit (e.g., 'Full Grain Leather') and uses it to write a persuasive, 3-part SMS recovery sequence automatically.
Takes a high-value target account (e.g., 'Nike'), researches their 10-k or recent strategic initiatives, and writes custom headlines and body copy for an 'Account Based Marketing' landing page.
Aggregates multiple intent data sources into a single account-level 'Heat Score'.
Researches a prospect's Twitter/LinkedIn interests (e.g., 'Coffee', 'Golf', 'Sci-Fi'). Suggests a $50 gift that matches their hobby.