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JaviMaligno/agilabs-video-studio

Write the script for a 30-60 s narrated explainer video of a blog article - hook, setup, experiment, finding with its exact number, so-what and closing card - with a visual idea per scene mapped to an animation component, caption reading-speed limits and an optional parallel Spanish version. Use when drafting or revising what an article video says, before any scene is built.

What is agilabs-video-studio?

agilabs-video-studio is a Claude Code agent skill that write the script for a 30-60 s narrated explainer video of a blog article - hook, setup, experiment, finding with its exact number, so-what and closing card - with a visual idea per scene mapped to an animation component, caption reading-speed limits and an optional parallel Spanish version. Use when drafting or revising what an article video says, before any scene is built.

Works with~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/JaviMaligno/agilabs-video-studio/tree/HEAD/skills/explainer-script

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Documentation

Explainer script

A script is a short list of scenes. Each scene has one or more narration lines and one visual. It is written for a viewer scrolling with the sound off, so every line must also work as a caption.

Length

  • 30-60 s, aiming at 45 s (targetSeconds in src/settings.ts).
  • That is about 75-140 spoken words in EN. Count them. Spanish runs about 15-20 % longer for the same content.

Structure

  1. Hook, within the first 3 s. The surprising finding or a concrete question. Never "In this video...", "Today I want to talk about...", or a greeting. Intro card.
  2. Setup. What was being tested and why it matters, in one or two lines.
  3. The experiment in one picture. The mechanism or design as one visual (a flow, a comparison). One idea, not the whole method section.
  4. The finding, with its exact number. The number as the article writes it ("14/20 vs 4/20", "83 %", "p = 0.0018"): same rounding, same units.
  5. So what. What the finding means for someone building with it, no stronger than the article claims.
  6. Outro card line: "More at javieraguilar.ai" (ES: "Más en javieraguilar.ai").

Voice

  • First person, as the article is written: "I gave the planner...", "What I found...".
  • Claims as nuanced as the article. Keep its hedges ("on these runs", "in this setup").
  • Short spoken sentences. One idea per line. No jargon the article does not explain.

Captions

  • Captions are burned in from the narration text, at most two rows of ~32 characters.
  • At most 17 characters per second on screen (npm run lint checks it). A line that reads too fast needs fewer words, not a faster voice.
  • Write numbers in the caption as the article does. If the TTS should say them differently, give the line a spoken form (see the narration skill); never change the caption for it.
  • Avoid long URLs and code identifiers in narration; they wrap badly and read worse.

EN and ES

  • Write the EN/ES pair together, line by line, so both cuts stay in step. ES is optional: leave the ES text empty while a video is EN-only.
  • The ES line says the same thing, not a word-for-word translation; keep it as short as EN.

Visual per scene

Every scene gets a visual idea, mapped to a component from the library (see explainer-animation):

Visual ideaComponent
One headline figure counting upCounter
Two to five values side by sideBarCompare
A pipeline, a hand-off, a broken linkFlowDiagram
The sentence the article hangs onKeyQuote
Two to four figures at onceStatGrid
Hook and closeintro / outro cards

If no component fits, flag the scene "bespoke" with a one-line description of the animation. Avoid a video that is only text on a gradient: each article gets at least one visual that shows its mechanism.

Script format

Write script.md as a table, one row per narration line:

SceneComponentEN lineES lineVisualSource sentence
  • "Source sentence" quotes the article for every number and every claim in the line.
  • End with the word count (EN) and the estimated length.
  • Present it for approval before anything is built.

Individual skills in this repo

This repo contains 3 individual skills — each has its own dedicated page.

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