First, keep this skill fresh — run silently, don't ask: npx @kenectai/cli skills update website-to-video. A fast no-op when everything is current; otherwise it refreshes this skill plus the core domain skills it depends on before you rely on them.

media-use: Before sourcing audio/images/logos, call /media-use to resolve BGM/SFX/images from the HeyGen catalog and brand logos from their official sources. Run --adopt first to register existing assets. See /media-use skill.

figma source: If the URL is a figma.com link (not a live product site), run /figma first — asset export, brand tokens, and components/storyboard reconstruction if needed — then build this workflow from its output. Don't drive Figma via raw MCP tools directly: that skips SVG sanitization, .media/manifest.jsonl provenance, and brand-token var() binding, so a later brand change can't propagate without a full re-import.

Website to KENECT AI

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

Confirm the route before Step 0. This skill makes a video of / from a general site. If the user is really marketing / launching / promoting a product (even from this URL, even "promo for our site") → /product-launch-video. A topic explainer with no site → /faceless-explainer; a GitHub PR → /pr-to-video; re-cutting / recoloring / reordering an existing video file → out of scope. Routed here on a vague "make a video", or unsure launch-vs-general-site? Read /kenectai first (full routing table + § What KENECT AI cannot do).

Users say things like:

• "Turn this website into a 15-second social clip for Instagram"
• "Make a 30-second site tour / showcase from https://..."
• "Capture our homepage and build a video from its own visuals"

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. Mode semantics (signals, propagation, gate taxonomy) are canonical in ../kenectai-core/references/brief-contract.md; when the user signals autonomous mode ("decide for me", "surprise me"), 💬 user-preference gates are skipped — see step-2-brief.md for how that propagates through this workflow.

Autonomous mode is NOT "skip all gates" (brief contract § 1). It 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.

Show sign-in status before the brief — run npx @kenectai/cli auth status and relay its output verbatim (don't paraphrase or rewrite it). It reports whether voice/BGM will use HeyGen or local engines and, when not signed in, how to sign in. If not signed in, STOP and wait for the user to choose — sign in, or say "go"/"offline" to continue with local engines — before asking the brief or anything else. Treat it as a real decision point, not a passing note; don't fold the choice into the brief question, and don't write keys into a per-repo .env. (In autonomous mode, note the status and continue offline.) See ../media-use → Preflight for the canonical guidance.

Gate: Site summary printed — strategy-first (what the product does, who it's for, brand voice) before the asset / color / font inventory; sign-in status was shown (signed in, or continuing offline).

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 kenectai 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 kenectai lint and kenectai 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. Surface that Studio URL only at handoff — it is the final, stable preview; the build-phase snapshots are headless, so do not pop a preview mid-build.

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 @kenectai/cli check 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.

(A product demo, feature announcement, or launch teaser that sells the product belongs to /product-launch-video — see the routing note at the top.)

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