vlog-cut

Use when the user wants Chinese subtitles burned into a finished rough cut. Three CLIs — split (timing.json → paged subs_pages.json), build (subs_pages.json → ASS), burn (mp4 + ASS → mp4 with hard-burnt subs). Triggers on "加字幕 / 烧字幕 / burn subtitles / add Chinese subs". Designed for ≤12-char per-page Chinese subtitles with punctuation-priority line breaks.

Use when the user wants to take a script + a folder of raw clips all the way to a finished rough cut. Orchestrates tts-from-script → video-asset-index → narration-cut (plan / validate / render), with FOUR mandatory human-review checkpoints between stages. Triggers on "做视频 / 剪个视频 / 把这段文案做成视频 / make a video from this script". Do NOT bypass the checkpoints — Claude pauses, the user approves, then the next stage runs. State is tracked in <project_dir>/.vlog-cut/state.json.

Use when the user has their OWN narration audio (m4a/mp3/wav) and needs the same timing.json + narration.wav that tts-from-script would emit. Calls whisper to transcribe, then groups segments into one line per section (using each section's optional `head_text` anchor in script.json). Triggers on "我自己录了配音 / 自带口播 / align my narration / 我有现成的录音". This is the v0.4 alternative to tts-from-script.

Use when narration audio (timing.json + narration.wav) and an indexed asset pool (assets_index.json) exist, and the user wants a rough cut. Three sub-tools — plan (draft a timeline), validate (check it before render), render (cut + concat + mux into mp4). Triggers on "对齐镜头 / 排时间线 / 出粗剪 / cut to narration / build timeline". Plan is a deterministic baseline; Claude usually rewrites timeline.json by hand before render.

Use when the user has a narration script (script.json) and needs voiceover audio plus per-line timing data — synthesizes each line with edge-tts, probes durations, and writes timing.json + a merged narration.wav. Triggers on "做配音 / TTS / 文案配音 / 生成口播". Skip when the user already has their own narration audio (then use align-narration instead, planned for v0.4).

Use when the user has a folder of raw video clips and needs them indexed for narration-driven cutting — probes metadata, samples 3 keyframes per clip, builds one horizontal contact sheet per clip, and emits assets_index.json. Triggers on "整理素材 / 看素材 / 给素材打标 / build asset index". Two modes: deterministic-only (default — Claude reads the sheets and fills tags) or --describe api (calls Anthropic vision to auto-tag).