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prathameshp107/video-editing

Audit the picture and audio at edit boundaries in a rendered video, catching clipped speech, sudden sound changes, black frames, awkward dissolves, and visible jump cuts.

video-editing とは?

video-editing is a Claude Code agent skill that audit the picture and audio at edit boundaries in a rendered video, catching clipped speech, sudden sound changes, black frames, awkward dissolves, and visible jump cuts.

対応~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/prathameshp107/video-editing/tree/HEAD/.agents/skills/cut-audit

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ドキュメント

Cut audit

Use after a rough cut when the video has speech, synced sound, or many transitions. Inspect the rendered file, not only the transcript or timeline data.

At each suspicious boundary, watch and listen from roughly one second before to one second after. Check whether a word is cut before its final sound, whether ambient noise changes abruptly, whether music masks speech, and whether a visual transition creates a flash, duplicate frame, or unintended jump. Log the time and the smallest repair in CUT_AUDIT.md.

Prioritize speech and chapter boundaries; for a music-only montage, focus on audible pops, timing, and picture continuity. If needed, extract a short local review clip with FFmpeg rather than repeatedly rendering the whole film. Recheck repaired boundaries in the new export.

Do not make a transcript the sole evidence that a spoken sentence survives the cut. Automated silence detection can nominate areas to inspect but cannot confirm complete words.

Individual skills in this repo

This repo contains 13 individual skills — each has its own dedicated page.

prathameshp107/video-editing

Inventory and classify footage, photos, audio, and factual evidence before a footage-based video edit; record required shots and source-backed labels in this repository.

prathameshp107/video-editing

Measure and finish the mixed audio of a Reel, Short, long video, or audio-only deliverable with local FFmpeg and an encoded-output check.

prathameshp107/video-editing

Prepare source-linked cutaway clips for any long or short video, with timecodes, rights, clear names, format-aware framing, and a contact sheet.

prathameshp107/video-editing

Compare multiple frames from videos or photos across cameras, lighting, and output formats, then review a deliberate color adjustment.

prathameshp107/video-editing

Reframe a selected source range for wide YouTube, vertical Reels or Shorts, square, or portrait-feed delivery with fit or intentional crop.

prathameshp107/video-editing

Design and add short motion graphics inside an existing video, such as titles, maps, labels, lower thirds, photo moves, and transitions, using Remotion or HyperFrames where appropriate.

prathameshp107/video-editing

Prepare source-backed cover art, title or caption, credits, and optional long-form chapters for YouTube videos, Shorts, Instagram Reels, or other delivery formats.

prathameshp107/video-editing

Review a finished video export for story coverage, readable text, framing, motion graphics, audio, and technical integrity before delivery.

prathameshp107/video-editing

Build a coherent travel, food, visit, or topic-driven video from inventoried footage, choosing story beats, clip order, pacing, still-photo placement, and an edit decision list.

prathameshp107/video-editing

Turn explicit creator feedback on pacing, framing, titles, transitions, and audio into a reusable style note without overgeneralizing one-off corrections.

prathameshp107/video-editing

Match narration or dialogue to indexed footage and audit a video timeline for off-topic shots using local, free tools. Use for footage searches and voiceover-to-picture alignment; do not treat filename similarity as visual proof.

prathameshp107/video-editing

Plan and quality-check footage-based travel, food, or visit vlogs in this repository, including source inventory, story structure, required-shot coverage, portrait framing, photos, titles, audio, and export review.

prathameshp107/video-editing

Generate narration locally in a consented speaker's voice using the bundled Chatterbox TTS model. Works with any language supported by the installed checkpoint. Audio finishing and soundtrack mixing are separate steps.

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