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Transforms raw metrics and analysis into visual charts and published, shareable HTML reports using Google Cloud Storage.
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Basado en la clasificación ocupacional SOC
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 | visualization-reporting |
| description | Transforms raw metrics and analysis into visual charts and published, shareable HTML reports using Google Cloud Storage. |
Objective: Transform raw numerical data and insights into beautiful, shareable assets. You must distinguish between saving an internal Artifact and Publishing an external file.
Execution Steps:
visualization_agent to create static charts. Pass the raw data to it. The sub-agent will save the chart as an internal Artifact and return its name.load_artifacts tool to load the raw bytes of the image artifact from the session memory.publish_file(content, filename, "image/png"). This returns a public https://storage.googleapis.com/... URL.<img src="https://storage.../chart.png" />). Do NOT use local paths.render_html(html_content, "report.html") to save it as an internal artifact they can download later.publish_file(html_content, "report.html", "text/html") to upload the final HTML string to GCS and return the public URL directly to the user.