@maxazure/video-editing

Xiaohongshu/RED-tuned content engine for short-form video. Use when: producing daily 小红书/抖音/视频号 videos from raw voice-over + b-roll materials; transcribing speech with mlx-whisper/faster-whisper; planning ASR rough cuts from transcript filler metadata and adjacent repeated sentences; rewriting transcripts into 5-field (hook/pain/turn/value/cta) story structures using 8 hook + 5 CTA templates; running platform-rule content lint (80+ regex for 广告法极限词/导流外站/医美/财富诱导); auto-scheduling B-roll cutaways, chapter title cards, emoji stickers, and BGM beat-sync (librosa); detecting abstract-concept opportunities and emitting gpt-image-2-shaped prompts that the Codex built-in `imagegen` tool can run directly (no API key needed); building storyboard_plan shot cards from transcript/clean_script with generation routing (codex_imagegen / dreamina_video / remotion_hyperframes / media_library_broll), continuity anchors, first/motion/last-frame prompts, and paid-credit approval notes before generating video assets; turning storyboard plans into asset manifests with ready / candidate_found / needs_generation / needs_approval / needs_render / search_needed states so generated media, local motion cards, and B-roll are reviewed before render; ingesting auto_enrich JSON via render_final.py --enrich-plan so B-roll, chapter cards, stickers, and generated images feed the final render without manual config copying; removing talking-head pauses with adaptive loudnorm/silencedetect jump cuts and auditable cut lists; generating filmstrip+waveform timeline-view PNGs for cut-boundary or render-QA human review; rendering with audience profiles (tech_pro/lifestyle), Heavy CJK fonts, automatic loudness normalisation (dynaudnorm+compressor+loudnorm), primary-speed control, karaoke/word-level subtitles, and optional --versioned-output `_V<N>` files that avoid overwriting previous renders; running post-render QA for dimensions/audio/black frames/frozen video/silence; exporting one master into three platfo