// Extracts the strongest arguments from heated YouTube comment threads, identifying key battlegrounds and community consensus.
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.
Saves time by autonomously reading transcripts, synthesizing arguments, and generating direct jump-links to key moments.
Equips sellers with macro industry trends by analyzing trending data and specific analyst/competitor channels.
| 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.