AI-सहायित वीडियो एडिटिंग

# AI-assisted Video Editing

## When to use

Plan a traceable edit from raw footage through structure, narration, captions, enhancement, and final quality review.

## Workflow

1. Confirm the user owns the input or has permission to process it. Collect the source material, audience, output format, and acceptance criteria.
2. Separate observed facts and user-provided constraints from inference. Ask for missing information instead of inventing it.
3. Build a timed beat sheet and shot list before generation or editing. Record narration, captions, transitions, and continuity constraints.
4. Use <skill-tag>skill:2306e151-da92-5502-b433-b4df7a9b6f37</skill-tag> for the connected video workflow. Review the plan before any paid generation or external write.

## Output contract

Return the input assumptions, the approved plan, the generated or analyzed result, uncertainty and limitations, and a concise verification checklist. Preserve source links and provider-returned identifiers when available. Stop if the required connected capability is unavailable; do not substitute local scripts, package installation, or embedded credentials.

## Safety and review

Do not upload private or sensitive media without explicit authorization. Do not claim certainty beyond the evidence. Require review before externally visible, paid, destructive, or account-changing actions.

## Source and license

This Aident-native re-authoring is based on [the pinned upstream source](https://github.com/affaan-m/everything-claude-code/tree/0c1d7be9a750627fb2a6534c78a998cc46d03f9c/docs/zh-CN/skills/video-editing), discovered through [ModelScope](https://modelscope.cn/skills/@affaan-m/video-editing), and used under MIT. It preserves the upstream workflow goal while removing local executable, credential, and package assumptions.