Video Prompt Reverse

Reverse-engineer a supplied video into a shot-by-shot generation specification, displayed evidence frames, and paired Chinese-English prompt packages. Use for requests such as 视频反推提示词, 视频转提示词, 从视频生成提示词, 视频逆向提示词, 逐镜头反推, 分镜拆解并生成提示词, 反推视频 prompt, or video-to-prompt; also use for Veo, Sora, Kling, Wan, generic prompt adaptation, and bounded generate-compare-optimize loops. Do not use for ordinary video summaries or basic transcription.

66 stars 9 forksImages, Video & Audio

Install

skills CLI (Claude Code, Cursor, Codex and more)

npx skills add LunarXuan/video-prompt-reverse --skill video-prompt-reverse

Manual install

git clone --depth 1 https://github.com/LunarXuan/video-prompt-reverse.git /tmp/video-prompt-reverse
mkdir -p ~/.claude/skills
cp -r /tmp/video-prompt-reverse/. ~/.claude/skills/video-prompt-reverse

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

# Video Prompt Reverse

Turn a reference video into an executable, evidence-linked generation package. Distinguish semantic recreation from exact reconstruction: a text prompt can preserve scene logic, action, camera language, pacing, and style, but cannot guarantee frame-identical output. Escalate to reference frames or control signals when identity, geometry, or motion fidelity matters.

## Invocation cues

Treat “视频反推提示词” and semantically similar requests as direct requests to use this skill. Common equivalents include “视频转提示词”, “从视频生成提示词”, “视频逆向提示词”, “逐镜头反推”, “分镜拆解并生成提示词”, “反推视频 prompt”, and “video-to-prompt”. The user may append a target model, such as Veo, Sora, Kling, or Wan, and may request iterative similarity optimization.

## Choose the mode

- **Prompt**: analyze the video and produce two language-specific packages: one Chinese block containing its positive and negative prompts, followed by one English block containing its positive and negative prompts.
- **Adapt**: also compile model-native prompts for one or more of `veo`, `sora`, `kling`, `wan`, or `generic`.
- **Optimize**: when a callable target generator and evaluator are available, generate bounded candidate batches, score them against the reference, and revise the prompt.

If the target model is absent, use `generic`. If the requested fidelity is unclear, default to semantic and cinematic similarity, not identity or pixel reconstruction.

## Analyze the source

Read the full skill on GitHub

Details

Skill name: video-prompt-reverse
Repository: LunarXuan/video-prompt-reverse
Repo updated: 4 September 2026

FAQ

What does the Video Prompt Reverse skill do?

How do I install the Video Prompt Reverse skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add LunarXuan/video-prompt-reverse --skill video-prompt-reverse. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is Video Prompt Reverse popular?

It lives in LunarXuan/video-prompt-reverse, which has 66 GitHub stars and 9 forks.

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