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Equips sellers with macro industry trends by analyzing trending data and specific analyst/competitor channels.
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SOC 職業分類に基づく
| name | industry-landscape-briefing |
| description | Equips sellers with macro industry trends by analyzing trending data and specific analyst/competitor channels. |
Objective: Equip an internal Google Seller with high-level, macro trends in a specific industry (e.g., Mobile Gaming, Fintech) before they meet with a client. Go beyond keyword spam and find actual industry movements.
Execution Steps:
get_date_range("week")).get_trending_videos tool. Provide a relevant video_category_id (e.g., "20" for Gaming, "28" for Science/Tech) and a region_code relevant to the seller's market. What is naturally rising to the top?search_channel_videos to pull exactly what that authority figure published this week.get_video_transcript on the top 2-3 videos returned from Steps 2 and 3. Do not just read titles. Synthesize the actual industry shift being discussed.generate_timestamp_url) to the exact moments the industry shifts are analyzed by creators.Next Actions: Ask the user if they want to publish this Briefing 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.