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website-to-hyperframes

by @heygen-comv
4.7(19)

ウェブサイトを自動キャプチャし、プロフェッショナルな製品ビデオを生成、カスタム期間とプラットフォーム形式をサポート。AI Agent Skill で、作業効率と自動化能力を向上。

video-editingweb-scrapingautomationcontent-creationmarketingGitHub
インストール方法
npx skills add heygen-com/hyperframes --skill website-to-hyperframes
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Before / After 効果比較

1
使用前

ウェブサイト操作の手動録画、ビデオ編集、トランジションとBGMの追加。製品デモビデオ1本に4〜6時間かかります。

使用後

ウェブサイトのリンクと目標時間を入力するだけで、アニメーションとトランジション付きのプロフェッショナルな製品ビデオを自動生成し、10分で完了します。

SKILL.md

website-to-hyperframes

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.

Step 1: Capture & Understand

Read: references/step-1-capture.md

Run the capture, read the extracted data, and build a working summary using the write-down-and-forget method.

Gate: Print your site summary (name, top colors, fonts, key assets, one-sentence vibe).

Step 2: Write DESIGN.md

Read: references/step-2-design.md

Write a simple brand reference for the captured website. 6 sections, ~90 lines. This is a cheat sheet, not the creative plan — that comes in Step 4.

Gate: DESIGN.md exists in the project directory.

Step 3: Write SCRIPT

Read: references/step-3-script.md

Write the narration script. The story backbone. Scene durations come from the narration, not from guessing.

Gate: SCRIPT.md exists in the project directory.

Step 4: Write STORYBOARD

Read: references/step-4-storyboard.md

Write per-beat creative direction: mood, camera, animations, transitions, assets, depth layers, SFX. This is the creative north star — the document the engineer follows to build each composition.

Gate: STORYBOARD.md exists with beat-by-beat direction and an asset audit table.

Step 5: Generate VO + Map Timing

Read: references/step-5-vo.md

Generate TTS audio, transcribe for word-level timestamps, and map timestamps to beats. Update STORYBOARD.md with real durations.

Gate: narration.wav (or .mp3) + transcript.json exist. Beat timings in STORYBOARD.md updated.

Step 6: Build Compositions

Read: The /hyperframes skill (invoke it — every rule matters) Read: references/step-6-build.md

Build each composition following the storyboard. After each one: self-review for layout, asset placement, and animation quality.

Gate: Every composition has been self-reviewed. No overlapping elements, no misplaced assets, no static images without motion.

Step 7: Validate & Deliver

Read: references/step-7-validate.md

Lint, validate, preview. Create a HANDOFF.md for multi-session continuity.

Gate: npx hyperframes lint and npx hyperframes validate pass with zero errors.

Quick Reference

Video Types

Type Duration Beats Narration

Social ad (IG/TikTok) 10-15s 3-4 Optional hook sentence

Product demo 30-60s 5-8 Full narration

Feature announcement 15-30s 3-5 Full narration

Brand reel 20-45s 4-6 Optional, music focus

Launch teaser 10-20s 2-4 Minimal, high energy

Format

  • Landscape: 1920x1080 (default)

  • Portrait: 1080x1920 (Instagram Stories, TikTok)

  • Square: 1080x1080 (Instagram feed)

Reference Files

File When to read

step-1-capture.md Step 1 — reading captured data

step-2-design.md Step 2 — writing DESIGN.md

step-3-script.md Step 3 — writing the narration script

step-4-storyboard.md Step 4 — per-beat creative direction

step-5-vo.md Step 5 — TTS, transcription, timing

step-6-build.md Step 6 — building compositions with self-review

step-7-validate.md Step 7 — lint, validate, preview, handoff

techniques.md Steps 4 & 6 — 10 visual techniques with code patterns (SVG drawing, Canvas 2D, 3D, typography, Lottie, video, typing, variable fonts, MotionPath, transitions)

Weekly Installs2.4KRepositoryheygen-com/hyperframesGitHub Stars1.3KFirst Seen1 day agoSecurity AuditsGen Agent Trust HubPassSocketPassSnykWarnInstalled oncodex2.4Kcursor2.4Kopencode2.4Kgithub-copilot2.4Kgemini-cli2.4Kamp2.4K

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統計データ

インストール数56.6K
評価4.7 / 5.0
バージョン
更新日2026年5月23日
比較事例1 件

ユーザー評価

4.7(19)
5
42%
4
37%
3
16%
2
5%
1
0%

この Skill を評価

0.0

対応プラットフォーム

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タイムライン

作成2026年4月18日
最終更新2026年5月23日