Extracts specific local activity recommendations and sentiment from travel vlogs into a shareable HTML BD report.
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tessl review fix ./python/agents/youtube-analyst/youtube_analyst/skills/poi-discovery-briefing/SKILL.mdObjective: Equip an Online Travel Agency (OTA) Business Development (BD) team with actionable data on local activities around a specific Point of Interest (POI). Extract recommendations from travel vloggers, gauge audience sentiment, and package it into a shareable HTML report.
Execution Steps:
search_youtube to find highly relevant travel vlogs about the requested POI (e.g., "Mount Fuji travel vlog", "Things to do in Tokyo").get_video_transcript on the top 2-3 longest vlogs. Travel vloggers often list 10+ activities in a single video. Scan the transcript to identify the specific names of activities, restaurants, or sub-locations they mention.generate_timestamp_url to create a direct jump link to the exact second the vlogger begins talking about each specific activity.get_video_comments for the videos to see if the audience is agreeing with the vlogger's recommendations or complaining about them (e.g., "The boat ride is a tourist trap").<a href="..."> direct timestamp link.get_video_details).publish_file(content=html_string, filename="poi_briefing.html") to upload the final HTML string to the cloud. Return the generated public URL directly to the user in the chat so they can immediately share it with their BD team.a862ebc
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