reelbench-skills

Name: reelbench-skills
Author: eternityspring

Pending

Learning notes and tooling skills for AI video - AI 视频相关的学习与工具 skill

61stars

7forks

JavaScript

Installation

# Add to your Claude Code skills
git clone https://github.com/eternityspring/reelbench-skills

Getting Started

Guides for using ide extensions skills like reelbench-skills.

Getting Started with AI Skills
First-time install walkthrough for Claude Code, Codex CLI, and ChatGPT.
What is an AI Skills Marketplace?
Definitions, how marketplaces work, and how to choose between them in 2026.

README.md

Frequently Asked Questions

What is reelbench-skills?

reelbench-skills is an open-source ide extensions skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by eternityspring. Learning notes and tooling skills for AI video - AI 视频相关的学习与工具 skill. It has 61 GitHub stars.

Is reelbench-skills safe to use?

reelbench-skills's catalog security scan is still queued. You can run an instant dependency and prompt-injection check now with the "Scan for vulnerabilities" button above.

How do I install reelbench-skills?

Clone the repository with "git clone https://github.com/eternityspring/reelbench-skills" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is reelbench-skills written in?

reelbench-skills is primarily written in JavaScript. It is open-source under eternityspring on GitHub, so you can review or fork the full source.

Are there alternatives to reelbench-skills?

Yes. SkillsLLM lists many other IDE Extensions skills you can browse and compare side by side. Open the IDE Extensions category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh reelbench-skills against similar tools.

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reelbench-skills

视频侧的 Claude Code / Codex skill。

skill	干什么
video-shots	拉片：把一条成片拆成逐镜头的分析表——时长、景别、类别、运镜、画面。切点与时长由 ffmpeg 量，模型只判断该判断的四件事，14 道质量门逐条对账

安装

git clone https://github.com/eternityspring/reelbench-skills.git
cd reelbench-skills
./scripts/install.sh

软链到 ~/.claude/skills/ 和/或 ~/.codex/skills/（哪个装了就装到哪），git pull 之后立刻生效。

./scripts/install.sh --claude      # 只装到 Claude Code
./scripts/install.sh --codex       # 只装到 codex
./scripts/install.sh video-shots   # 只装某一个 skill
./scripts/install.sh --uninstall   # 取消软链

依赖只有 node >= 18 和 ffmpeg / ffprobe（macOS：brew install node ffmpeg）。 零 npm 依赖、零 API key，用当前会话额度。

不想软链就直接拷：cp -r skills/video-shots ~/.claude/skills/——skill 自包含，拷走就能用。

示例

demo-report/ 是拿 demo-video.mp4（202.9 秒的 AI 短片《啥是AI》）真跑出来的完整产物： 53 镜、平均镜长 3.83 秒、每分钟 15.7 切、14 道质量门全绿。

报告是单文件交互页：内嵌播放器（播放时同步高亮镜头、点镜头跳转）、镜头节奏带、可搜索可筛选可排序的镜头表（列表 / 卡片两种视图、首尾关键帧并排、点图开大图）、统计分布、出场人物、质量检查。零外部依赖，离线双击能开。

demo-report/
├── shots-report.html   ← 克隆下来双击就能开
├── shots.json          ← 53 镜的拉片主数据
├── shots.md            ← Markdown 镜头表
├── track.json          ← 逐帧差分的运动曲线（机器证据）
└── frames/             ← 每镜首尾两张关键帧，共 106 张