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45ck45ck/video-evaluator/skills/storyboard-understand/SKILL.md

storyboard-understand

Skill2 starsChanged 7 months agoMITView on GitHub

Turn storyboard OCR into an evidence-backed product summary with likely views, capabilities, and open questions.

The file

We split this skill into the rules it gives an agent

4 rules. About 0 are common, 0 are distinctive, and 4 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈0

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 4

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Use this after storyboard-ocr when an agent needs a first-pass structured understanding rather than raw OCR lines.

    line 8
  2. Very specific:

    If storyboard.transitions.json exists in the storyboard directory, the skill can incorporate transition-derived flow segments.

    line 28
  3. Very specific:

    Run after storyboard-ocr. For stronger flow summaries, run storyboard-transitions first.

    line 40
  4. Very specific:

    Do not present guesses as facts.

    line 54

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Storyboard Understand

Use this after storyboard-ocr when an agent needs a first-pass structured understanding rather than raw OCR lines.

This skill owns:

  • app-name guesses from OCR evidence
  • likely role/view extraction
  • capability claims with cited lines and frame indices
  • explicit open questions where inference is still weak

Inputs

Provide either storyboardDir or ocrPath:

{
  "storyboardDir": "./output/storyboard"
}

If storyboard.transitions.json exists in the storyboard directory, the skill can incorporate transition-derived flow segments.

Outputs

The skill writes storyboard.summary.json. The summary includes app-name guesses, likely views, OCR quality notes, sampling notes, interaction segments, likely flow, capability claims with frame/line evidence, text-dominance signals, and open questions.

Sequencing Guidance

Run after storyboard-ocr. For stronger flow summaries, run storyboard-transitions first. Use this output to orient a reviewer, then verify important claims against storyboard.ocr.json and the source frame images.

Interpretation Notes

Capability claims are pattern-based and must cite OCR evidence. App names and view names are guesses, especially when OCR is sparse or narration text dominates. textDominance.likelyNarrationDominated means the sampled text may describe the product rather than come from the UI itself.

Abstention Rules

Do not present guesses as facts. Abstain from final product claims when ocrQuality.lowSignal is true, most frames are weak/rejected, or the relevant claim appears only in narration-like text. Keep open questions visible rather than filling gaps from domain assumptions.

Failure Modes

Missing OCR input fails the run. Missing transitions does not fail the run, but flow and interaction segments may be less specific. Poor sampling or OCR noise can produce generic app/view labels; inspect evidence before reusing them.

Repo-side runner:

node --import tsx scripts/harness/storyboard-understand.ts

Installed-pack runner:

node ./.video-evaluator/agent/run-tool.mjs storyboard-understand

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