* 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>
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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)
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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.
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capture/extracted/tokens.json— Note the top 5-7 colors (HEX), all font families with their weights (e.g.Inter (400,700)orSohne (100-900 variable)), number of sections, and number of headings/CTAs. -
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. -
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
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capture/extracted/animations.json— Note if the site uses scroll-triggered animations, marquees, canvas/WebGL, or named CSS animations. -
capture/extracted/lottie-manifest.json— View each preview image atcapture/assets/lottie/previews/to see what the animations look like. -
capture/extracted/video-manifest.json— View each preview atcapture/assets/videos/previews/to see what each video shows. -
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 intechniques.md.
On-demand (read when building scenes)
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Individual images in
capture/assets/— Usecapture/extracted/asset-descriptions.mdas your index. View specific images when you need them for a beat. -
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]