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changelog-video

by @heygen-comv
4.7(120)

This skill converts weekly changelog/digest Markdown into a finished branded changelog video (square 1080p, ~45-60s, with animated backgrounds, mock-UI visualizations, and lowkey captions). It is ideal for teams that need to produce regular product update videos without manual motion design or editing.

changelogvideo-generationmultimediabranded-contentmotion-designGitHub
Installation
npx skills add https://github.com/heygen-com/hyperframes --skill changelog-video
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Before / After Comparison

1 组
Before

Without this skill, the user or team had to manually design animations, write scripts, record voiceovers, and edit videos, taking about 2 hours per weekly changelog video and requiring design skills.

After

This Skill automatically parses the changelog, generates visualization schemes, calls TTS for voiceover, and assembles the video, completing the whole process within 5 minutes without human intervention.

SKILL.md

Changelog → Branded Video

Input: a changelog .md (themes + items, like the weekly HyperFrames digest). Output: a lint-clean, seam-gate-green HyperFrames project in projects/active/weekly-changelog-<range>/. Render only when asked.

Load first, non-negotiable: motion-doctrine (+ cut-the-curve, oversized-cursor if a cursor appears, seam-craft) and captions-overlay. This skill supplies the changelog-specific pipeline; the doctrine supplies the motion law.

The prime directive: visualize, don't list

Every theme is illustrated by an animated mock of the actual UI or a faithful analog acting out the change in experience — never text bullets. Route every theme/item through references/visualization-registry.md BEFORE writing the script; the registry decides ui-recreate / ui-analog / terminal / checklist. Text checklist is the LAST resort, reserved for genuinely non-visual items (reliability fix lists).

Pipeline

1 · Parse + editorial cut

  • Extract: week range, headline stats (releases, commits), themes, items.
  • Budget: 45-60s total. Title ≤2s, outro ≤3.5s, 4 themes ≈ 9-12s each.
  • Per theme keep ONE hero visualization + at most 3 spoken items. Everything else exists only as the outro's "full digest" pointer. Cutting is the job: a changelog with 30 items still yields ≤14 spoken beats.
  • Order themes by story: marquee feature → product surface → performance → reliability (the digest usually already reads this way).

2 · Visualization routing

For each theme, pick the surface from references/visualization-registry.md and write one line: theme → surface → the 2-4 sequenced actions the mock performs, each tied to a script phrase. If no registry surface fits and no faithful analog exists, it's a checklist scene — don't invent fake UI for something we can't represent honestly.

3 · Two-layer script (spoken vs display)

Write the script as token lines per references/script-voice.md: conversational register, every technical term carrying a spoken phonetic form from references/lexicon.json while display keeps standard spelling. Captions show display; the VO reads spoken. Any term not in the lexicon: STOP and ask the user how it's pronounced, then add it to the lexicon. Save as script-tokens.json in the project.

4 · VO — Annie (HeyGen, pinned)

# spoken-layer text only; words JSON = ground-truth timestamps of the SPOKEN text
# Repo-native path: the changelog-video skill runs from the hyperframes repo root,
# so it uses the tracked hyperframes-media TTS helper directly (no `npx hyperframes
# skills` install step). If you've copied the skill into another repo, swap in
# your own path to the media-use / hyperframes-media heygen-tts.mjs.
node skills/hyperframes-media/scripts/heygen-tts.mjs ./vo-spoken.txt \
  -o voiceover.mp3 --words vo-words.json \
  --voice 330290724a1b470fb63153f34d4c0183   # Annie — lifelike (do not substitute)

Requires heygen CLI ≥0.3.0 authenticated (heygen auth login --oauth). Then align spoken timestamps back to display tokens:

node <SKILL_DIR>/scripts/align-captions.mjs \
  --tokens script-tokens.json --words vo-words.json --out captions.json

captions.json is the caption-rail input (display spelling, spoken timing). The aligner prints MISMATCH warnings — resolve every one before building (usually a lexicon spelling the TTS renders as multiple words). The audio is the clock: all beat times come from vo-words.json; a VO regen re-opens every seam.

5 · Build

Follow references/build-spec.md exactly: brand tokens + fonts (bundled in <SKILL_DIR>/assets/), the animated background encode, scene scaffold, chrome, caption rail, one rationed green moment per scene. Then the doctrine order: ledger.json (all ordinary seams cut-the-curve LEFT) → seam-stamp → internal beats on VO words → seam-gate verify.

6 · Gates (all green before presenting)

  1. bun run --cwd packages/cli hyperframes check (or the installed hyperframes CLI from the repo-local skills/hyperframes-cli/ skill) — 0 errors (contrast: dim text ≥ .66 alpha). Do NOT reach for npx hyperframes@latest; the tracked repo-local CLI is the source of truth for the composition contract this skill produces against.
  2. seam-gate.mjs verify — 0 fail.
  3. Restart the preview server (it caches the bundle), spot-check 3-4 beats via __player.seek on the raw comp page.
  4. Do NOT render unless the user asks. After a requested render, verify frames from the MP4 (ffmpeg -ss <t> … -frames:v 1): captions present, background video not black, no tiny/frozen frames.

Project layout

projects/active/weekly-changelog-<range>/
├── index.html            # single-doc master (scenes as slides, stamped seams)
├── ledger.json           # vector ledger (seam-stamp input)
├── script-tokens.json    # two-layer script (source of truth for VO + captions)
├── vo-spoken.txt         # generated: spoken layer, one line
├── voiceover.mp3 + vo-words.json + captions.json
├── bgm.mp3               # copy from <SKILL_DIR>/assets/bgm.mp3 (the house track) unless the user supplies one
└── assets/fonts/ + assets/bg-pattern-<dur>s.mp4

Anti-patterns

Don'tInstead
Bullet-point slides for UI changesMock the surface acting out the change
Fake UI for un-representable itemsHonest checklist scene
Plain "JSON"/"CLI" in the TTS textLexicon spoken forms; display stays standard
Phonetic spellings in captionsCaptions always render the display layer
Guessing an unknown term's pronunciationAsk, then grow the lexicon
Speaking every changelog item≤3 per theme; the digest link carries the rest
Green accents everywhereOne green moment per scene (#5ef17c)

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Statistics

Installs59.7K
Rating4.7 / 5.0
Version
Updated2026年10月23日
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Compatible Platforms

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Timeline

Created2026年7月18日
Last Updated2026年10月23日
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