SuperAPI AI Directory

datamagic-video

Design & creation

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Updated 10-15 22:13

About this skill

DataMagic Video

Turn tabular data into a narrated, animated data video. Core artifact: DVSpec, a renderer-agnostic screenplay for scenes, data bindings, narration, and animation. Render with any stack; Remotion is reference path.

Use

  • CSV / Excel / structured table -> multi-scene narrated video
  • Pasted data -> animated chart or short data story
  • Existing DVSpec / render -> refine, debug, or improve
  • Goal only, no render requested -> produce DVSpec plan

Do not use for raw video editing, non-data text-to-video, or live dashboards.

Core Rules

  • Plan first. DVSpec before render.
  • Data leads story. Pick narrative pattern from data shape, not topic.
  • Narration leads viewer eye. Animation follows narration timing.
  • Read only needed rule files. Heavy details live under rules/.
  • Before calling work done: run rules/self-review.md.

Router

Task Read
Profile data, find candidate insights rules/data-analysis.md
Choose narrative pattern, scenes rules/scene-planning.md
Pick chart type, axes, scales rules/chart-selection.md
Author or validate DVSpec rules/dvspec.md
Choose visual system, tokens, motion defaults rules/design-system.md
Pick style pack rules/styles/README.md
Render DVSpec to video with Remotion rules/remotion-integration.md
Add TTS, audio-driven duration, subtitles rules/voiceover.md
Write narration script rules/narration.md
Refine existing output rules/refinement.md
Diagnose bad output rules/anti-patterns.md
Final quality gate rules/self-review.md

Workflows

Full video:

data-analysis -> scene-planning -> chart-selection -> dvspec -> design-system -> styles -> remotion-integration -> voiceover -> narration -> self-review

DVSpec only:

data-analysis -> scene-planning -> chart-selection -> dvspec

Single animated chart:

data-analysis -> chart-selection -> dvspec -> design-system -> remotion-integration

Refinement:

refinement -> changed domain rule(s) -> self-review

Narrative Patterns

Pattern Use when Climax
freytag_default One main finding builds over time 60-75%
hook_then_evidence One striking number should open first chart scene
comparison_driven A vs B is story spine largest contrast
time_driven chronological change drives story sharpest shift
drill_down total -> segment -> cause deepest zoom

See rules/scene-planning.md before locking pattern.