Create detailed Chinese video reverse-engineering notes and

SKILL效率
效率 未标注权限 许可证不明确
安装这个技能

Create detailed Chinese video reverse-engineering notes and prompt-prep analysis from a user-provided reference video, screen recording, keyframes, or visual/audio description. Use when the user asks for 视频反推提示词, 视频反推, 视频复刻, 视频拉片, 拉片笔记, 镜头拆解, 完整读懂视频, 像 Gemini 一样读取视频, not merely frame sampling, or wants a shot-by-shot table with 景别/角度, 运动, 画面内容, 音频, and 时长 before writing generation prompts.

一句话选型结论

按资料字段整理

Create detailed Chinese video reverse-engineering notes and是效率类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类效率 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_814dbe54/video-reverse-prompts
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

效率
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_814dbe54仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 1791623854
正文体量5.9 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
整理待办与日程

把零散任务收进清单,排出优先级。

批量处理重复任务

把固定动作做成模板,重复执行。

把流程写成清单

把口头流程整理成可复用的步骤。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在效率场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
Create detailed Chinese video reverse-engineering notes and当前 未标注权限 未标注 未标注 未标注 有
Nano PDF 文档 联网访问 ClawHub 市场 424.9 万 OpenClaw 有
自动更新程序 浏览器控制 ClawHub 市场 296.4 万 OpenClaw 有
Gemini 助手 联网访问 ClawHub 市场 254.7 万 OpenClaw 有
word DOCX 文档 联网访问 ClawHub 市场 239.6 万 OpenClaw 有
Excel XLSX 前端 联网访问 ClawHub 市场 227.0 万 OpenClaw 有

SKILL.md 全文

5.9 KB
模型实际读到的说明书原文,来自技能仓库

视频反推提示词 Skill

Goal

Produce a structured Chinese analysis that fully understands a reference video over time before writing or preparing video-generation prompts. The first deliverable is usually a 拉片笔记: story beats, shots, camera language, motion, visible content, subtitles/dialogue/audio, style, and pacing. Treat frame sheets as navigation aids only; do not reduce the analysis to isolated screenshots.

Core Workflow

  1. Inspect the source video directly when available.
    - Read metadata first: duration, resolution, frame rate, streams, orientation, and audio presence.
    - If direct tools fail on a path, copy to a safe ASCII filename in the working directory and retry.
    - Use ffmpeg/ffprobe when available. If not available, install or use imageio-ffmpeg as a local fallback.

  2. Understand the video as a continuous time sequence.
    - Detect scene changes or shot boundaries.
    - Review low-frequency timeline previews only as navigation aids.
    - Pay attention to action continuity, reaction beats, camera motion, composition changes, emotional pacing, and sound/subtitle timing.
    - Use subtitles, visible mouth movement, and extracted audio together. If speech transcription is uncertain, mark the line as approximate instead of inventing precision.

  3. Segment the video into shots or meaningful beats.
    - Use exact or approximate time ranges.
    - Merge tiny cuts when they are part of the same dramatic beat.
    - Split longer scenes when the visual subject, action purpose, emotional beat, or audio speaker changes.

  4. Write the user's requested output.
    - Default to Chinese.
    - If the user asks for 拉片笔记, 视频反推, 视频复刻, or 反推提示词, the 拉片笔记 section MUST use the strict standard template below before writing prompts.
    - The standard 拉片笔记 MUST include the exact Markdown table columns: 镜号, 景别/角度, 运动, 画面内容, 音频, 时长(秒).
    - The 音频 cell MUST be split into labeled lines whenever possible: BGM, 音效, 配音/字幕. If one item is absent, state it briefly (e.g. 无明显音效). Do not leave audio generic.
    - After the table, MUST add ## 总结描述 with these exact subsections: ### 画面风格, ### 纹理与材质, ### 光影与环境, ### 动作逻辑, ### 音频风格.
    - Do not replace these required summary subsections with 叙事结构, 镜头语言, or 复刻要点. Those may be added only as extra subsections after the required five.
    - Read references/lapai-template.md when the user asks for the standard table format or when no custom template is provided.
    - If the user asks for actual video-generation prompts, use the analysis to write master prompts, shot-by-shot prompts, negative prompts, and platform notes.

Analysis Rules

  • Prefer video-understanding language over screenshot description. Describe how events unfold, not only what appears in a representative frame.
  • Separate facts from inference. If a subtitle is readable, quote it. If audio cannot be transcribed reliably, say "字幕可读为..." or "听感近似..." as appropriate.
  • Do not invent unseen dialogue, character identity, brand names, locations, or causes. Infer only from visible content, subtitles, audio, and narrative context.
  • For AI-generated videos, explicitly note visible AI traits: inconsistent anatomy, stylized realism, waxy skin, over-smooth motion, lip-sync quality, texture consistency, or physics issues.
  • For drama, ad, or short-video references, capture the emotional function of each shot: setup, conflict, contrast, reversal, escalation, release, or theme statement.
  • When the video includes text cards, transcribe the text and include them as shots if they carry narrative meaning.

Tooling Notes

  • Useful commands:
  • Metadata: ffprobe -v error -show_format -show_streams -of json <video>
  • Fallback ffmpeg path: python -c "import imageio_ffmpeg as ff; print(ff.get_ffmpeg_exe())"
  • Audio extraction: ffmpeg -i <video> -vn -ac 1 -ar 16000 audio.wav
  • Scene changes: ffmpeg -i <video> -vf "select='gt(scene,0.25)',showinfo" -an -f null -
  • Timeline preview: sample at 1 fps into a contact sheet for navigation, then return to the video timeline for interpretation.
  • If transcription models are unavailable, rely on visible subtitles and state that limitation.
  • If the user explicitly rejects frame-only analysis, reassure through method: continuous timeline, shot boundaries, audio/subtitle reading, and action continuity.

Output Discipline

  • Preserve the user's requested format exactly when they provide one.
  • When the user asks for 拉片笔记 or when this skill prepares prompt reverse-engineering, strictly preserve the standard 拉片笔记 format from references/lapai-template.md: six-column table first, then the five required summary subsections.
  • Keep each table row concrete and production-useful: subject, action, setting, composition, motion, audio, and duration.
  • Avoid overly generic adjectives. Replace "高级感" with observable traits such as "冷色办公室灯光, 浅景深, 玻璃反光, 高对比夜景".
  • Include limitations only when they materially affect accuracy, such as missing audio transcription or unreadable subtitles.

常见问题

5 问
答案由本站依据条目字段整理
Create detailed Chinese video reverse-engineering notes and怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_814dbe54/video-reverse-prompts。安装方式为未标注。装完刷新技能列表或重开客户端。

Create detailed Chinese video reverse-engineering notes and支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

Create detailed Chinese video reverse-engineering notes and权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

Create detailed Chinese video reverse-engineering notes and收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

Create detailed Chinese video reverse-engineering notes and用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。