SuperAPI AI Directory

visual-explainer

Office & productivity

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Updated 10-15 19:53

About this skill

Visual Explainer

Purpose

Convert structured council report data into high-readability HTML that is suitable for executive review and downstream PDF rendering.

Inputs

  • report_payload JSON from council-output-report
  • chart_spec and optional chart_asset outputs from chart-visualization
  • optional supporting_metrics JSON

Workflow

  1. Build HTML sections in this order:
  • executive headline + narrative
  • top findings table
  • chart blocks with captions (window + source)
  • action board
  • open questions + appendix
  1. Wire charts:
  • use chart assets when available
  • if assets are unavailable, embed deterministic chart spec snippets as placeholders
  1. Produce semantic, print-friendly markup:
  • use section wrappers and explicit heading hierarchy
  • avoid dense single-page layouts
  • keep table columns concise and stable

Output Contract

Return:

  • report_html (full HTML string or path)
  • layout_notes array (important structure decisions)
  • render_warnings array