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Extracts the true audience mood and key feedback by analyzing comment sentiment and keyword frequency.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
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.
| name | sentiment-analysis |
| description | Extracts the true audience mood and key feedback by analyzing comment sentiment and keyword frequency. |
Objective: Understand the true audience reaction to a video, product, or creator by analyzing comment sentiment.
Execution Steps:
get_video_comments to pull the top 20-50 comments for the target video.analyze_sentiment_heuristic to gauge the overall mood (Positive/Neutral/Negative).Next Actions: Ask the user if they would like to visualize this sentiment data or publish it as a report.