video-use

name	video-use
description	Use when editing source footage into finished videos by conversation: 多素材成片剪辑, talking-head cleanup, 去口癖, retake selection, subtitles, color grade, animation overlays, social-ready exports, or transcript-backed video editing with OpenAI-compatible FunASR MCP tools.

Video Use

Use this skill to edit local footage into a polished video. The agent reasons from word-level transcript JSON plus on-demand visual drill-downs, then renders with ffmpeg helpers.

Required MCP Tools

Tool	Use
prepare_file_upload	Prepare a policy-controlled OSS direct upload. Use purpose="video_audio", then upload the local wav to upload_url with HTTP PUT.
create_video_asr_task	Transcribe an OSS-backed audio_key or HTTPS audio_url through server-side OpenAI-compatible FunASR and return normalized word-level JSON.
query_video_asr_task	Optional compatibility lookup for an already completed ASR result by task_id.
pack_video_transcripts	Convert normalized transcripts into takes_packed.md markdown.

Never call ASR provider HTTP APIs directly and never handle provider API keys. Do not use SRT-only or phrase-only transcription as the editing source; cuts need word boundaries.

Core Rules

1. Confirm the strategy in plain language before rendering the edit.
2. Cache transcripts under <videos_dir>/edit/transcripts/; do not re-transcribe unchanged sources.
3. Audio drives cut candidates; use visual checks only at decision points.
4. Never cut inside a word. Snap cut edges to transcript word boundaries and pad by 30-200ms.
5. Extract each segment first, add 30ms audio fades, then concat losslessly.
6. Shift overlays with setpts=PTS-STARTPTS+T/TB.
7. Apply subtitles last in the final filter chain so overlays never hide captions; subtitles are applied LAST.
8. Store all session outputs under <videos_dir>/edit/, not inside the skill directory.

Directory Layout

<videos_dir>/
  <source footage>
  edit/
    project.md
    transcripts/<source>.json
    takes_packed.md
    edl.json
    animations/slot_<id>/
    clips_graded/
    master.srt
    verify/
    preview.mp4
    final.mp4

Workflow

1. Inventory sources with ffprobe; create <videos_dir>/edit/.
2. For each source, extract audio: ffmpeg -y -i "$VIDEO" -vn -ac 1 -ar 16000 -codec:a pcm_s16le "$DIR/<stem>.wav".
3. Call prepare_file_upload with purpose="video_audio", filename="<stem>.wav", and content_type="audio/wav"; upload $DIR/<stem>.wav to the returned upload_url with curl --fail -X PUT -H "Content-Type: audio/wav" --upload-file "$DIR/<stem>.wav" "$UPLOAD_URL"; then call create_video_asr_task with the returned audio_key and save the returned normalized transcript JSON to edit/transcripts/<stem>.json. Do not call provider HTTP APIs directly.
4. Call pack_video_transcripts with the transcript map and save the returned markdown to takes_packed.md.
5. Read takes_packed.md, note verbal slips, retakes, strong beats, and likely cuts.
6. Ask for or infer target length, aspect, pacing, subtitle style, grade, and overlay needs; write a short strategy and wait for confirmation.
7. Write edl.json using transcript word boundaries. Include sources, ranges, optional grade, optional overlays, and subtitle settings.
8. Use helper scripts from scripts/:
   • timeline_view.py <video> <start> <end> for filmstrip/waveform checks.
   • grade.py <in> -o <out> for grade experiments.
   • render.py <edl.json> -o preview.mp4 --preview --build-subtitles for preview, then final render.
9. Self-evaluate rendered output around every cut boundary and at start/middle/end. Check visual jumps, audio pops, subtitle readability, overlay timing, and duration.
10. Iterate from user feedback without re-transcribing. Append decisions and final paths to project.md.

Subtitle Defaults

Use Source Han Sans / 思源黑体 for burned subtitles. Prefer these font names or paths in force_style and helper patches:

• Source Han Sans SC
• Noto Sans CJK SC
• /System/Library/Fonts/PingFang.ttc only as a local fallback

Default style: white bold text with black outline, lower third but above platform UI safe zones. Keep subtitles applied LAST. For fast social edits, use short chunks; for narrative or education, use natural sentence chunks.

EDL Shape

Use this minimal shape unless the edit needs more:

{
  "sources": {"take-a": "/abs/path/take-a.mp4"},
  "ranges": [
    {"source": "take-a", "start": 1.23, "end": 6.78, "beat": "HOOK"}
  ],
  "grade": "neutral_punch",
  "subtitles": {"enabled": true, "style": "source-han-bold"},
  "overlays": [
    {"file": "animations/slot_01/render.webm", "start": 2.0      
  

Animation Overlays

Create each overlay under edit/animations/slot_<id>/ and hand off to the most specific overlay skill:

• Use official music-to-video or slideshow skills when the brief matches their HyperFrames workflows, then use hyperframes-video-overlays skill for the Anban edl.json handoff.
• Use official remotion-best-practices skill for Remotion implementation guidance, then use remotion-video-overlays skill when React composition, props, or reusable branded templates are useful.
• Use manim-video-overlays skill for diagrams, formulas, charts, arrows, timelines, and precise educational motion.
• Use pil-video-overlays skill for simple deterministic cards, counters, progress bars, badges, and fallback PNG sequences.

Overlay skills must return edit/animations/slot_<id>/render.webm with alpha when possible and an overlays[] item for edl.json containing file, start, end, x, and y. For example: {"file":"animations/slot_01/render.webm","start":2.0,"end":5.0,"x":0,"y":0}.

Render overlays before final composition. Verify duration, dimensions, alpha channel, safe zones, and timing against narration. Keep subtitles applied LAST; subtitles are applied LAST so overlays never hide captions.