website-to-hyperframes

name: website-to-hyperframes description: | Capture a website and create a HyperFrames video from it. Use when: (1) a user provides a URL and wants a video, (2) someone says "capture this site", "turn this into a video", "make a promo from my site", (3) the user wants a social ad, product tour, or any video based on an existing website, (4) the user shares a link and asks for any kind of video content. Even if the user just pastes a URL — this is the skill to use.

Website to HyperFrames

Capture a website, then produce a professional video from it.

Users say things like:

• "Capture https://... and make me a 25-second product launch video"
• "Turn this website into a 15-second social ad for Instagram"
• "Create a 30-second product tour from https://..."

The workflow has 7 steps. Each produces an artifact that gates the next. By default it's collaborative — gates marked 💬 stop and ask the user. If the user signals autonomous mode ("decide for me", "surprise me"), 💬 user-preference gates are skipped; see step-2-brief.md for how that propagates.

Autonomous mode is NOT "skip all gates." Auto mode covers user-preference questions (TTS provider, voice, color emphasis, beat count, music yes/no, captions yes/no — where the agent decides on the user's behalf). It does NOT cover quality-verification gates. The following remain non-skippable in auto mode:

• Asset Audit (Step 3) — viewing contact sheets and justifying USE/SKIP for each asset
• Per-beat HTML read (Step 5) — structured evidence block per beat
• DoD checklist (Step 6) — including animation-map, per-warning WCAG verification, audio/motion playback
• Honest disclosure section (Step 6) — "What I did NOT verify" must appear in your final summary

If you find yourself reasoning "auto mode says bias toward action, so I'll skip X" — and X is a verification gate, not a preference question — that reasoning is wrong. Bias toward action applies to deciding what to build, not to deciding whether to verify.

Step 0: Capture & Understand the Brand

Read: references/step-0-capture.md

Capture the site, then read the extracted data to understand the brand and product — what it does, who it's for, what voice it speaks in, what mood it lives in. The captured assets are a brand toolkit for later, not the building blocks the video is made from.

Gate: Site summary printed — strategy-first (what the product does, who it's for, brand voice) before the asset / color / font inventory.

Step 1: Brand Identity

Read: references/step-1-design.md

Write DESIGN.md — a brand cheat sheet covering the visual identity: colors, typography, component styles, layout principles. Use design-styles.json for exact computed values.

Speed option: For fast-pacing videos (billboard-per-beat), DESIGN.md can be a 50-line summary of colors + fonts + do's/don'ts — not a 300-line document. The sub-agent prompt in Step 5 pastes brand values directly, so DESIGN.md depth only matters for complex compositions.

Gate: DESIGN.md exists (any length) with at minimum: color palette, font choices, and do's/don'ts.

Step 2: Strategy & Messaging

Read: references/step-2-brief.md, references/capabilities.md (scan the Table of Contents — deep-dive sections only as needed)

Align with the user on what the video must communicate before talking visuals or assets. Parse the user's prompt — they probably already gave you the video type and style. Ask only what's missing: the ONE thing this video must say, the narrative arc, and the audience.

Gate: Video type, duration, format, and — critically — the message and narrative arc are locked. Without those, Step 3 can't write a concept-first storyboard.

Step 3: Storyboard + Script 💬

Read: references/step-3-storyboard.md

Write the storyboard concept-first: message → narrative arc → beats that serve the arc → techniques per beat → brand accents pass at the end. Then write the narration script to match. Present both to the user with a beat-by-beat summary. Iterate until they approve.

Gate: STORYBOARD.md + SCRIPT.md exist AND the user has approved the plan.

Step 4: VO, Timing + Captions 💬

Read: references/step-4-vo.md

If Step 2 said no narration — ask about background music, then skip to Step 5. Otherwise: ask the user which TTS provider (HeyGen TTS, ElevenLabs, or Kokoro), generate audio, transcribe, map timestamps to beats. Then ask about captions.

Gate: Either (a) no narration was requested and storyboard has manual beat timings, or (b) narration.wav + transcript.json exist and beat timings updated with real durations.

Step 5: Build Compositions

Read: The hyperframes skill (load it — every rule matters) Read: references/step-5-build.md

Build index.html and compositions following the architecture and pacing chosen in the storyboard (Step 3). Sub-agents run hyperframes lint and hyperframes snapshot on each beat before reporting back.

Gate: Every compositions/beat-N.html has been read top-to-bottom by the main agent against DESIGN.md and STORYBOARD.md. The per-beat checklist lives in step-5-build.md.

Step 6: Validate & Deliver

Read: references/step-6-validate.md

Lint, validate, take snapshots scaled to video length (formula: max(beats × 3, ceil(duration_seconds / 2))), and review each one. Fix issues before delivering. Deliver the localhost Studio project URL — only render to MP4 on explicit user request.

Deliver something you're proud of. Before handing off, ask yourself: would I post this on social media with my name on it? If not, fix what's wrong.

Gate: npx hyperframes lint and npx hyperframes validate pass with zero errors, and the final response includes the active Studio project URL.

Quick Reference

Video Types

Typical constraints by video type — use as a starting point, not a formula. Beat count should follow from the content and the narration, not from a target range.

Beat count is not in this table intentionally — it should come from the storyboard, not from "social ad = 3-4 beats." A social ad for a complex product might need 5 well-timed beats. A brand reel with one strong visual thesis might need 3.

Format

• Landscape: 1920x1080 (default)
• Portrait: 1080x1920 (Instagram Stories, TikTok)
• Square: 1080x1080 (Instagram feed)

Reference Files