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Video Scriptwriting
Video scriptwriting for programmatic video is the practice of planning,
structuring, and writing scripts that translate directly into code-driven
video production. Unlike traditional screenwriting, programmatic video scripts
are structured data - every scene has an explicit duration, frame count,
animation description, and narration text that a rendering engine can consume.
This skill covers interviewing stakeholders, generating structured YAML scripts,
calculating pacing and frame counts, writing narration, and revising scripts.
When to use this skill
Trigger this skill when the user:
- Wants to write a script for a programmatic or code-generated video
- Needs to plan scene structure, timing, or transitions for a video
- Asks about storyboard creation in a structured format (YAML, JSON)
- Wants to calculate frame counts from duration and FPS
- Needs help writing narration text for video scenes
- Asks about video pacing for different content types (demo, explainer, social)
- Wants to run an interview workflow to gather video requirements
- Needs to revise or restructure an existing video script
Do NOT trigger this skill for:
- Live-action filmmaking or traditional screenwriting
- Video editing software tutorials (Premiere, Final Cut, DaVinci Resolve)
- Audio-only content like podcasts or music production
- Still image design or static presentation slides
Key principles
-
Interview-driven - Run a structured interview (up to 30 questions across
7 categories) before generating a single scene. Never script from assumptions.
-
Structured output - Every script is valid YAML with a
block and a
array. Each scene has
,
,
,
,
,
,
,
, and
fields.
-
Visual-first - Write the
field before
. Narration
should complement visuals, never redundantly describe what is on screen.
-
Pacing awareness - Match scene count and per-scene duration to the video
type: social clips need 3-8s scenes; explainers can breathe with 5-12s scenes.
-
Narration-visual sync - Every narration line must match what is visible at
that moment. One idea per scene. Narration timing must fit the scene duration.
Core concepts
Interview framework
Gather requirements through 7 categories before writing:
| Category | Questions | Examples |
|---|
| Product/Subject | 5-7 | What is the product? Key features? Problem solved? Differentiator? |
| Audience | 3-5 | Target viewer? Technical level? Pain points? |
| Video Goals | 3-4 | Type (demo/explainer/social/announcement)? Duration? Channel? |
| Tone & Style | 3-5 | Formal or casual? Energetic or calm? Reference videos? |
| Assets | 3-5 | Logo? Screenshots? Brand colors? Fonts? |
| Content | 4-6 | Key messages? Must-include features? CTA? Opening hook? |
| Visual Preferences | 3-5 | Animation style? Color palette? Layout preferences? |
YAML script format
yaml
meta:
title: "string - descriptive title"
duration: "string - total duration (e.g. 60s)"
type: "enum - demo | explainer | social | announcement"
resolution: "string - e.g. 3840x2160, 1920x1080"
fps: "number - 24, 30, or 60"
audience: "string - who is watching"
tone: "string - comma-separated descriptors"
total_frames: "number - duration_seconds * fps"
scenes:
- id: "string - unique kebab-case identifier"
duration: "string - e.g. 4s, 8s"
frames: "number - scene_duration_seconds * fps"
narration: "string - max 15 words per sentence"
visual: "string - what the viewer sees on screen"
animation: "string - how elements move, with frame references"
music:
track: "string - music track name"
volume: "number - 0.0 to 1.0"
duck: "boolean - lower music during narration"
sfx:
- type: "string - sound effect name"
at: "string - timestamp within scene"
duration: "string - how long it plays"
transition_to_next: "enum - hard-cut | cross-dissolve | fade-to-black | wipe-left | wipe-right | none"
Scene pacing by video type
| Video Type | Duration | Scenes | Per Scene | Notes |
|---|
| Product demo | 30-120s | 6-15 | 5-10s | Feature-focused, clear CTAs |
| Explainer | 60-180s | 8-20 | 5-12s | Concept-heavy, more breathing room |
| Social clip | 15-60s | 3-8 | 3-8s | Hook in first 3s, fast pacing |
| Announcement | 15-45s | 3-6 | 4-8s | Punchy, single message focus |
Frame calculation
total_frames = duration_seconds * fps
scene_frames = scene_duration_seconds * fps
Example: 60s video at 30fps = 1800 total frames
| Duration | 24 fps | 30 fps | 60 fps |
|---|
| 4s | 96 | 120 | 240 |
| 8s | 192 | 240 | 480 |
| 30s | 720 | 900 | 1800 |
| 60s | 1440 | 1800 | 3600 |
| 90s | 2160 | 2700 | 5400 |
Always validate that scene frame counts sum to
in meta.
Common tasks
1. Run the interview workflow
Walk through all 7 categories in sequence. Ask one at a time, summarize answers,
then proceed. See
references/interview-questions.md
for the full 30-question
framework. Compressed version for tight timelines uses 10 essential questions:
Product name, key features, problem solved, target viewer, technical level,
video type, duration, channel, key message, and CTA.
2. Generate a product demo script
yaml
meta:
title: "Product Demo - Acme Dashboard"
duration: "60s"
type: demo
resolution: 3840x2160
fps: 30
audience: "SaaS founders and product managers"
tone: "professional, confident, minimal"
total_frames: 1800
scenes:
- id: intro
duration: "4s"
frames: 120
narration: "Meet Acme - the dashboard that builds itself."
visual: "Logo centered on warm off-white background, fades in from transparent"
animation: "fade-in over 30 frames, hold for 90 frames"
music:
track: "upbeat-corporate"
volume: 0.4
duck: false
sfx: []
transition_to_next: "hard-cut"
- id: feature-1
duration: "8s"
frames: 240
narration: "Just describe what you need. Acme handles the rest."
visual: "Browser mockup showing prompt input, text being typed"
animation: "browser slides up from bottom over 20 frames, typing starts at frame 40"
music:
track: "upbeat-corporate"
volume: 0.2
duck: true
sfx:
- type: "keyboard-typing"
at: "1.3s"
duration: "3s"
transition_to_next: "cross-dissolve"
- id: feature-2
duration: "8s"
frames: 240
narration: "Drag, drop, resize. Your layout, your rules."
visual: "Dashboard editor with widgets being rearranged by cursor"
animation: "cursor moves to widget at frame 30, drags to new position over 60 frames"
music:
track: "upbeat-corporate"
volume: 0.2
duck: true
sfx:
- type: "soft-click"
at: "1.0s"
duration: "0.2s"
transition_to_next: "cross-dissolve"
- id: cta
duration: "6s"
frames: 180
narration: "Try Acme free at acme.dev. Build your first dashboard in minutes."
visual: "CTA text centered with URL, subtle animated background gradient"
animation: "text fades in over 20 frames, background gradient shifts slowly"
music:
track: "upbeat-corporate"
volume: 0.4
duck: false
sfx: []
transition_to_next: "fade-to-black"
Full demo scripts typically have 6-15 scenes. Expand by adding problem, social
proof, pricing, and outro scenes following the same YAML structure.
3. Generate a social clip script
yaml
meta:
title: "Acme in 30 Seconds"
duration: "30s"
type: social
resolution: 1080x1920
fps: 30
audience: "Developers scrolling social feeds"
tone: "energetic, punchy, modern"
total_frames: 900
scenes:
- id: hook
duration: "3s"
frames: 90
narration: "Stop building dashboards from scratch."
visual: "Bold text on vibrant gradient background"
animation: "text slams in from top over 8 frames, screen shakes for 4 frames"
music:
track: "electronic-pulse"
volume: 0.5
duck: true
sfx:
- type: "impact-hit"
at: "0.2s"
duration: "0.3s"
transition_to_next: "hard-cut"
- id: demo
duration: "12s"
frames: 360
narration: "Type what you need. Acme builds it live."
visual: "Screen recording: typing a prompt, dashboard generating in real time"
animation: "typing for 120 frames, dashboard builds over remaining 240 frames"
music:
track: "electronic-pulse"
volume: 0.3
duck: true
sfx:
- type: "keyboard-typing"
at: "0.5s"
duration: "4s"
transition_to_next: "hard-cut"
- id: result
duration: "8s"
frames: 240
narration: "Fully interactive. Real-time data. Ready to share."
visual: "Finished dashboard with hover interactions, data updating live"
animation: "cursor hovers triggering tooltips, data refreshes at frame 120"
music:
track: "electronic-pulse"
volume: 0.3
duck: true
sfx: []
transition_to_next: "hard-cut"
- id: cta
duration: "7s"
frames: 210
narration: "Try free at acme.dev."
visual: "CTA text large and centered, URL below, brand gradient background"
animation: "text scales up from 0 to full size over 15 frames, holds"
music:
track: "electronic-pulse"
volume: 0.5
duck: false
sfx: []
transition_to_next: "none"
4. Calculate frame counts from duration
Input: duration = 60s, fps = 30
Output: total_frames = 1800
Scene breakdown:
intro: 4s * 30 = 120 frames
feature-1: 8s * 30 = 240 frames
feature-2: 8s * 30 = 240 frames
proof: 6s * 30 = 180 frames
cta: 6s * 30 = 180 frames
---
Sum: 32s = 960 frames (remaining 840 frames need more scenes)
Always verify the sum. If scenes do not add up, adjust or add scenes.
5. Write effective narration text
Rules:
- Max 15 words per sentence - longer cannot be read in time
- Active voice, present tense - "Acme builds your dashboard" not "will be built"
- Match narration to visuals - talk about what is on screen
- One idea per scene - do not cram two concepts into one line
- Lead with benefit - "Save 10 hours a week" not "Our time-tracking feature"
- Include pauses - empty narration () for breathing room
- Reading speed - roughly 2.5 words per second
| Bad | Good | Why |
|---|
| "Our product has been designed to help teams build dashboards faster" | "Build dashboards in minutes, not weeks." | Too long, passive |
| "Click on the plus button in the top right corner" | "Add a widget with one click." | Let the visual show location |
| "As you can see, the data updates in real time" | "Real-time data. Always current." | "As you can see" is filler |
6. Plan scene transitions
| Transition | When to use |
|---|
| Same topic, fast pacing, or jarring contrast |
| Smooth topic change, related content flowing |
| End of section, dramatic pause, final scene |
| / | Before/after comparisons, timeline progression |
| Final scene of the video |
Rule: use at most 2 different transition types per video for consistency.
7. Revise a script based on feedback
- Identify the feedback type: pacing, narration, visuals, structure, or tone
- Locate affected scenes by in the YAML
- Apply changes to only the affected fields, preserve frame math
- Revalidate: scene durations must still sum to total duration
- Recalculate frames if any duration changed
- Document what changed:
yaml
# Revision: shortened intro from 6s to 4s per feedback (v2)
- id: intro
duration: "4s" # was 6s
frames: 120 # was 180
Anti-patterns / common mistakes
| Mistake | Why it is wrong | What to do instead |
|---|
| Writing narration before visuals | Drives video into talking-head territory | Write first, then narration to complement |
| Scenes longer than 12 seconds | Viewers lose attention, pacing feels sluggish | Break into two shorter scenes |
| Mismatched frame counts | Rendering engine produces wrong timing or crashes | Always compute and verify sums |
| Narration over 15 words/sentence | Cannot be read within scene duration | Split into shorter sentences |
| No hook in first 3 seconds | Social viewers scroll past, embedded viewers disengage | Open with bold statement, question, or visual surprise |
| Inconsistent transitions | Video feels choppy and amateurish | Use at most 2 transition types per video |
| Skipping the interview | Produces generic scripts that miss the mark | Always gather requirements first |
| Empty visual descriptions | Rendering engineer cannot build the scene | Be specific about layout, colors, motion, elements |
Gotchas
-
Frame count rounding - When duration does not divide evenly (e.g., 3.5s
at 24fps = 84 frames), round to nearest integer and adjust the last scene.
Never leave fractional frames - rendering engines truncate or error.
-
Narration timing overflow - At 2.5 words/second, a 4s scene holds about
10 words. Writing 20 words for a 4s scene means rushed narration or clipping.
Always check word count against scene duration.
-
Vertical vs horizontal resolution - Social clips (TikTok, Reels, Shorts)
use 1080x1920 (vertical). YouTube/website embeds use 1920x1080 or 3840x2160.
Confirm distribution channel before setting resolution.
-
Music ducking conflicts - If every scene has
, music volume
constantly yo-yos. Use ducking only when narration is present. Scenes with
empty narration should have
.
-
Total duration drift - After revisions, scene durations often drift from
target. Always re-sum all durations after any edit and compare against
.
References
For detailed guidance on specific sub-topics, read the relevant file from the
folder:
references/interview-questions.md
- complete 30-question interview framework
with follow-up trees, answer interpretation, and example briefs
references/pacing-guide.md
- deep-dive into pacing strategies per video type,
hook techniques, CTA placement, and rhythm patterns
Only load a references file if the current task requires it - they are long and
will consume context.
Companion check
On first activation of this skill in a conversation: check which companion skills are installed by running
ls ~/.claude/skills/ ~/.agent/skills/ ~/.agents/skills/ .claude/skills/ .agent/skills/ .agents/skills/ 2>/dev/null
. Compare the results against the
field in this file's frontmatter. For any that are missing, mention them once and offer to install:
npx skills add AbsolutelySkilled/AbsolutelySkilled --skill <name>
Skip entirely if
is empty or all companions are already installed.