菜单
Provides an executive dashboard comparing Creator vs Audience verdicts for a recent client product launch.
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 | product-launch-audit |
| description | Provides an executive dashboard comparing Creator vs Audience verdicts for a recent client product launch. |
Objective: Provide an internal Google Seller (e.g., Ads/Cloud rep) with a comprehensive audit of what Creators AND Audiences are saying about a specific client's product launch (e.g., a new game, phone, or software).
Execution Steps:
search_youtube to find videos about the specific product launch. Critically, use get_date_range to filter for videos published within the launch window (e.g., published_after set to 7 or 14 days ago).get_video_transcript on the top 3 review videos to understand what the KOLs (Key Opinion Leaders) think. Are they praising the graphics? Complaining about the price?aggregate_comment_sentiment tool on those same top video IDs. This tool pulls comments across all the videos at once. Synthesize what the actual consumers are saying in the comments. Does the audience agree with the creator?generate_timestamp_url) backing up the summary.Next Actions: Ask the user if they want to publish this Executive Dashboard as a clean HTML asset using publish_file.
This skill should be used when the user wants to "create a new Python ADK sample", "scaffold a new Python sample recipe", "generate a new Python sample in contrib", "add a new Python sample to the adk-samples repository", or "create a Python adk sample". It utilizes an automated script to copy template files and resolve basic placeholders.
Scan an ADK recipe directory and generate a manifest.yaml for it based on the schema at .github/schemas/manifest-schema.json. Use when the user wants to create or generate a manifest.yaml for a recipe under core/ or contrib/.
Accesses real-time spatial data, weather, and traffic routing to design accurate itineraries.
Performs a strict evaluation of a video asset using Google's official 'ABCD' framework (Attract, Brand, Connect, Direct) based on transcript and metadata.
Deconstructs high-performing or viral videos to extract actionable creative insights from metadata and transcript.
Provides a high-signal briefing on events in a specific location and timeframe, backed by primary video sources and transcripts.