Files
hyperframes/skills/website-to-hyperframes/references/step-1-capture.md
T
Ular KimsanovandClaude Opus 4.7 a78ec5ec76 fix(skill): all file paths use capture/ subfolder prefix (#345)
* fix(skill): all file paths use capture/ subfolder prefix

Step-1 was updated to capture into <project-dir>/capture/ but all
file-read instructions across steps 1-6 still used bare paths
(extracted/tokens.json, assets/hero.png). Agents following the skill
looked for files in wrong locations, producing broken compositions
with 404'd images and fonts.

- step-1: all 12+ file-read paths prefixed with capture/
- step-2: tokens.json and asset-descriptions.md paths fixed
- step-3: visible-text.txt path fixed
- step-4: asset-descriptions.md, asset examples, directory tree expanded
  to show capture/ children (screenshots/, assets/, extracted/)
- step-5: minor cleanup
- step-6: asset-descriptions.md path fixed, composition examples already
  correct (../capture/assets/)
- techniques.md: Lottie, video, font paths all prefixed

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* fix(skill): address Copilot review — font comment path, add videos/ to tree

- techniques.md: comment says ../capture/assets/fonts/ (matches composition context)
- step-4 file tree: add videos/ under capture/assets/

---------

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-20 05:01:25 +02:00

4.8 KiB

Step 1: Capture & Understand

Run the capture

Create a project directory for your video, then capture the website into a capture/ subfolder within it:

npx hyperframes capture <URL> -o <project-dir>/capture

Example: npx hyperframes capture https://stripe.com -o videos/stripe-launch/capture

Keeping the capture artifacts (screenshots/, assets/, extracted/, AGENTS.md, CLAUDE.md) in a dedicated capture/ subfolder keeps them isolated from the later build files (SCRIPT.md, STORYBOARD.md, DESIGN.md, compositions/, index.html, narration.wav, transcript.json, renders/, snapshots/), which all live at <project-dir>/ root.

For exploratory captures that aren't becoming a video yet, -o captures/<name> at the repo root is fine — the isolation convention only matters when you're building a video on top of the capture.

No API keys required. The capture extracts design tokens, screenshots, fonts, and assets with DOM-context descriptions automatically.

Optional: Set GEMINI_API_KEY (or GOOGLE_API_KEY) in a .env file at the repo root for richer AI-powered image descriptions via Gemini 3.1 Flash Lite vision (~$0.001/image).

Wait for it to complete. Print how many screenshots, assets, sections, and fonts were extracted.

Read and summarize

Read each file below. After reading each one, write a 1-2 sentence summary of what you learned. These summaries are your working memory — the raw file content may be cleared from context later.

Must read (do not skip)

  1. View the scroll screenshots — viewport-sized captures covering the full page height (the number depends on the page length). Start with:

    • capture/screenshots/scroll-000.png — the hero section at full 1920x1080 resolution. This is the most important image. Describe: is the background light or dark? What's the dominant visual element? What colors jump out?
    • Then scan through the rest to see the full page. Each screenshot overlaps the previous by ~30%.

    After viewing them, write 3-4 sentences describing the site's visual mood, layout patterns, color strategy, and overall feel.

  2. capture/extracted/tokens.json — Note the top 5-7 colors (HEX), all font families with their weights (e.g. Inter (400,700) or Sohne (100-900 variable)), number of sections, and number of headings/CTAs.

  3. capture/extracted/visible-text.txt — Each line is prefixed with the HTML tag: [h1] Heading, [p] Body text, [a] Link text. Use these tags to understand hierarchy — headings are key messages, paragraphs are supporting copy. Strip the [tag] prefix when quoting text in the script.

  4. capture/extracted/asset-descriptions.md — One-line-per-file summary of all downloaded assets. Note which assets are most visually striking or useful for video (hero images, logos, product screenshots).

Read if they exist

  1. capture/extracted/animations.json — Note if the site uses scroll-triggered animations, marquees, canvas/WebGL, or named CSS animations.

  2. capture/extracted/lottie-manifest.json — View each preview image at capture/assets/lottie/previews/ to see what the animations look like.

  3. capture/extracted/video-manifest.json — View each preview at capture/assets/videos/previews/ to see what each video shows.

  4. capture/extracted/shaders.json — If present, this contains the actual GLSL shader code that powers the site's WebGL visual effects (gradient waves, particle systems, noise fields). Read the fragment shaders to extract: color values used in gradients, noise algorithms, blend functions. You can recreate similar effects in your compositions using Canvas 2D or by embedding the shader patterns with a <canvas> + WebGL context. See the Canvas 2D and procedural art patterns in techniques.md.

On-demand (read when building scenes)

  1. Individual images in capture/assets/ — Use capture/extracted/asset-descriptions.md as your index. View specific images when you need them for a beat.

  2. capture/extracted/assets-catalog.json — Use to find remote URLs when you need an asset that wasn't downloaded.

For rich captures (30+ images)

Launch a sub-agent to view all images and SVGs:

"Read every image in capture/assets/ and every SVG in capture/assets/svgs/. For each, write one line: filename — what it shows, dominant colors, approximate size. Return the complete catalog."

Use the sub-agent's catalog as your asset reference for the rest of the workflow.

Gate

Print your site summary before proceeding to Step 2:

  • Site: [name]
  • Colors: [top 3-5 HEX values with roles]
  • Fonts: [font families]
  • Sections: [count] sections, [count] headings, [count] CTAs
  • Key assets: [3-5 most useful assets for video]
  • Vibe: [one sentence describing the visual identity]