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Extracts the strongest arguments from heated YouTube comment threads, identifying key battlegrounds and community consensus.
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Based on SOC occupation classification
| name | debate-synthesizer |
| description | Extracts the strongest arguments from heated YouTube comment threads, identifying key battlegrounds and community consensus. |
Objective: Extract the strongest arguments from both sides of a heated debate hidden in the YouTube comment section, saving the user from reading toxic or redundant threads.
Execution Steps:
search_youtube to find highly polarizing videos on the requested topic (e.g., "React vs HTMX", "OpenClaw review").get_video_comments for the top 1 or 2 videos, setting the order parameter to "relevance".reply_count (these are the battlegrounds).get_comment_replies(comment_id) tool to extract the actual arguments happening beneath the top-level comment.HTML Publishing Rule: If the user asks to publish this report, you must construct a clean HTML page showcasing the "Pro vs Con" table. You can use get_video_details to embed the video's thumbnail image at the top of the report. You MUST publish the thumbnail image using publish_file first, or link directly to the high-res URL provided by the API.
Next Actions: Ask the user if they want to publish the Debate Brief as a shareable HTML report.
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/.
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