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Data Story Motion Pack

An original 9:16 data-story engine for exact number reveals, comparisons and trend turns.

Two 19.8-second English data-story studies with explicit illustrative-demo boundaries. 9:16 · 0:20

What you get

  • 1080×1920 / 30 fps MP4, cover image, burned captions and captions.srt
  • DOM/SVG-measured layout.json and scene-level incremental render report
  • Number reveal, compare and trend modes with a one-scene edit proof

You will need

  • Node.js 22+, FFmpeg and FFprobe
  • A checked dataset or an explicit illustrative-demo label
  • The local HyperFrames 0.8.181 cache
  • An Agent to author and review the chart story

Good fit

  • Budget comparisons
  • Energy readings
  • Milestones with a turning point
  • Checked or clearly illustrative data

Not for

  • Invented financial claims
  • Dashboards with many simultaneous ideas
  • Automatic publishing or third-party media generation

You say

“Use Data Story Motion Pack to make a 20-second vertical data story. Preserve the finance-chart grammar: establish the question and axes, grow exact values from zero, then highlight one turning point. Use a real checked source when available; otherwise keep illustrative demo data explicit in the caption and source notes. Render local Kokoro narration, burned English captions and captions.srt.”

After installing, say something like this to your agent with your own topic and assets. It asks only for what is missing.

FAQ

Do I need an account?

Yes. Members Skills install from a signed-in FeedSkills account with an active Founding Membership.

What does it cost to run?

The Skill is included with Founding Membership. It needs the tools listed under “You will need”. Any voice, model or media service you choose bills you directly; FeedSkills does not include provider credits.

Can I use the videos commercially?

Videos you make are yours to use, including commercially. The Skill package is licensed as: FeedSkills Source-Available License 1.0 · Huashu finance-chart grammar reference under MIT. Fonts, music, footage and services you add keep their own terms.

Which agents does it work with?

Agents that read SKILL.md files, such as Codex or Claude Code. What FeedSkills has actually tested is listed under Tested scope below.

Tested scope

Version
0.1.2
Acceptance
This version has a recorded acceptance entry.
Tested
Technical candidate verified on 2026-10-28: A/B/edit are 1080×1920, 30 fps, 19.8 s H.264/AAC, with full decode, source binding, value-legibility and incremental frame proof. One shot-detection warning remains documented. Human audiovisual review, physical-device checks and customer adoption remain unverified.
Runs on
Codex · macOS · Node.js 22+ · FFmpeg
License
FeedSkills Source-Available License 1.0 · Huashu finance-chart grammar reference under MIT

Details

Two data-story studies

Data Story Motion Pack turns a question, exact values and one turning point into two measured vertical English studies. The examples keep their Illustrative demo boundary rather than presenting invented numbers as real-world claims.

Use the workflow

Start from examples/theme-a.json or examples/theme-b.json, then replace the illustrative values with a checked source and an explicit claim scope. The engine authors charts, axes, labels and annotations as SVG; it exports a 1080×1920 MP4, cover, burned captions, captions.srt, measured layout.json and a render report. Scene IDs are stable so a one-scene edit can reuse untouched segments.

No external media is required. Use local Kokoro for English narration, or choose the documented silent boundary. Replace the illustrative values with a checked source before making a factual claim.

Source, runtime and access

The finance-chart grammar reference is Huashu Motion at pinned commit 52467f99c602b76ba86d511d37acdfe93fa1e16e, under MIT. FeedSkills’ SVG engine is its own implementation; the upstream runtime and reference media are not distributed. Node.js 22+, FFmpeg/FFprobe, HyperFrames 0.8.181 and a local Kokoro environment are separate runtime dependencies. Bundled Inter and Anton fonts retain their SIL OFL notices.

This is a Members Skill. An active Founding Membership is required; the public catalog exposes the summary and example routes only. Use a checked dataset for factual stories and keep the illustrative boundary visible when using the supplied examples.