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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/zrt-ai-lab/opencode-skills --skill videocut-install- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads videocut-install automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
安装
首次使用前的环境准备
快速使用
用户: 安装环境
用户: 初始化
用户: 下载模型
依赖清单
| 依赖 | 用途 | 安装命令 |
|---|---|---|
| funasr | 口误识别 | pip install funasr |
| modelscope | 模型下载 | pip install modelscope |
| openai-whisper | 字幕生成 | pip install openai-whisper |
| ffmpeg | 视频剪辑 | brew install ffmpeg |
模型清单
FunASR 模型（口误识别用）
首次运行自动下载到 ~/.cache/modelscope/：
| 模型 | 大小 | 用途 |
|---|---|---|
| paraformer-zh | 953MB | 语音识别（带时间戳） |
| punc_ct | 1.1GB | 标点预测 |
| fsmn-vad | 4MB | 语音活动检测 |
| 小计 | ~2GB |
Whisper 模型（字幕生成用）
首次运行自动下载到 ~/.cache/whisper/：
| 模型 | 大小 | 用途 |
|---|---|---|
| large-v3 | 2.9GB | 字幕转录（质量最好） |
总计
约 5GB 模型文件
安装流程
1. 安装 Python 依赖
↓
2. 安装 FFmpeg
↓
3. 下载 FunASR 模型（口误识别）
↓
4. 下载 Whisper 模型（字幕生成）
↓
5. 验证环境
执行步骤
1. 安装 Python 依赖
pip install funasr modelscope openai-whisper
2. 安装 FFmpeg
# macOS
brew install ffmpeg
# Ubuntu
sudo apt install ffmpeg
# 验证
ffmpeg -version
3. 下载 FunASR 模型（约2GB）
from funasr import AutoModel
model = AutoModel(
model="paraformer-zh",
vad_model="fsmn-vad",
punc_model="ct-punc",
)
print("FunASR 模型下载完成")
4. 下载 Whisper 模型（约3GB）
import whisper
model = whisper.load_model("large-v3")
print("Whisper 模型下载完成")
5. 验证环境
from funasr import AutoModel
model = AutoModel(
model="paraformer-zh",
vad_model="fsmn-vad",
punc_model="ct-punc",
disable_update=True
)
# 测试转录（用任意音频/视频）
result = model.generate(input="test.mp4")
print("文本:", result[0]['text'][:50])
print("时间戳数量:", len(result[0]['timestamp']))
print("✅ 环境就绪")
常见问题
Q1: 模型下载慢
解决：使用国内镜像或手动下载
Q2: ffmpeg 命令找不到
解决：确认已安装并添加到 PATH
which ffmpeg # 应该输出路径
Q3: funasr 导入报错
解决：检查 Python 版本（需要 3.8+）
python3 --version
FAQ
What does the videocut-install skill do?
环境准备。安装依赖、下载模型、验证环境。触发词：安装、环境准备、初始化
How do I install videocut-install?
Run npx skills add https://github.com/zrt-ai-lab/opencode-skills --skill videocut-install in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/videocut-install/ (personal) or .claude/skills/videocut-install/ (project).
Which AI agents can use videocut-install?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is videocut-install safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains videocut-install?
It is published by zrt-ai-lab in zrt-ai-lab/opencode-skills. It has 207 recorded installs.
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