Skill detail
wjs-overlaying-video
Adds post-production to video clips: AI cover, HTML/CSS captions synced to SRT, kinetic illustration overlays, chapter chips, and end-card CTA in one HyperFrames encode. Directly covers video editing.
Inspect before use
Read the source instructions and check the requirements before you install this skill.
SKILL.md
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---
name: wjs-overlaying-video
description: Use when the user has one or more video clips and wants to add post-production on top — AI-generated cover as first frame, HTML/CSS captions synced to SRT, kinetic illustration overlays at hook moments, chapter chips, end-card CTA, or any other timed motion graphics. Most often used as the downstream of `/wjs-segmenting-video` — pick up where that skill stopped (raw cropped clip + per-clip SRT) and produce the upload-ready MP4. Backed by HyperFrames so everything compiles to ONE final encode — no cascade of re-encodes. Triggers — "加封面", "加字幕", "加动画", "加 CTA", "做后期", "post-production", "title card", "kinetic captions", "end card".
---
# wjs-overlaying-video
Post-production for a video clip: cover, captions, illustrations, CTA,
custom motion graphics — all composed in ONE HyperFrames project and
rendered in a SINGLE final encode. No cascade of decodes/re-encodes
(each cascade pass degrades quality and burns time).
## When to use
- **Downstream of `/wjs-segmenting-video`** — the segmentation skill
hands you cropped clips + per-clip SRTs; this skill turns them into
upload-ready MP4s with cover/captions/illustrations/CTA.
- User has a finished video and wants to dress it up with motion
graphics: opening hook, key-quote callout, closing slogan, chapter
cards, AI-generated cover as first frame.
- User wants HTML/CSS-quality captions on a video (kinetic word-by-word
highlighting, custom fonts, large outlined text, seekable per cue).
- User wants illustration overlays at specific hook moments — diagrams,
big text emphasis, flow charts.
**Don't use** for:
- Splitting one long video into clips → use `/wjs-segmenting-video`.
- Creating the source SRT → use `/wjs-transcribing-audio` (then `/wjs-translating-subtitles` if you need a different language).
- Full HyperFrames productions where the source isn't a fixed video →
use `hyperframes` directly.
- 微信视频号 / 抖音 upload (no public API for those) → this skill
produces the MP4; upload is manual.
## What this skill IS — and IS NOT
| Is | Is not |
|---|---|
| Everything that goes ON TOP of a video clip: cover, caption, chapter, illustration, CTA | Cutting / cropping a video (that's `/wjs-segmenting-video` + `/wjs-reframing-video`) |
| One HyperFrames composition per clip = ONE final encode | A multi-step decode/encode cascade |
| `cover` is the literal first frame of the output (platforms auto-pick it as thumbnail) | A separate thumbnail file the user uploads alongside |
| Captions are HTML/CSS — `-webkit-text-stroke` for white-on-anything readability | libass burn-in (deprecated) |
| Illustrations: re-usable `stack` / `hammer` patterns + custom escape hatch | One bespoke HTML/CSS per illustration without re-use |
| AI covers regenerated at native target aspect (1024×1792 for vertical, 1536×1024 for horizontal) | Single 1024×1536 default that letterboxes or crops on the platform |
## The pipeline
```
clip.mp4 + clip.zh-CN.burn.srt (from /wjs-segmenting-video hand-off)
↓
1. (Optional) Generate AI cover via gpt-image-2
make_cover.py --segments S.json --out output/ --size 1024x1792
cover_NN_slug.png
2. Scaffold a HyperFrames project per clip
hf_clip_NN/1080/{index.html, clip.mp4, cover.png, captions.json}
3. Compose: cover scene + body video + caption track + chapter chip
+ 1-2 illustrations at hook moments + CTA scene
4. npm run check (lint + validate + visual inspect)
npm run render → upload-ready MP4
```
A 2-minute vertical 1080×1920 composition renders in ~2-3 min on M-series Mac.
## Color: tone-map HLG/HDR source → SDR BEFORE compositing
**Only tone-map genuinely HLG/HDR sources.** If the body clip is ALREADY Rec.709
SDR — e.g. a graded multicam render, or polysync output where an S-Log3→709 LUT
was already applied — running the HLG tone-map recipe on it washes/darkens the
already-correct color. `build_hf_clips.py`'s `tonemap_to_sdr` now probes
`color_transfer` (`_is_hlg_hdr`): HLG/PQ → tone-Read the full source on GitHub (opens external page)