转录 → 纠错 → 审核 → 匹配 → 烧录
Works with
转录 → 纠错 → 审核 → 匹配 → 烧录
1. 转录视频（Whisper）
↓
2. 词典纠错 + 分句
↓
3. 输出字幕稿（纯文本，一句一行）
↓
【用户审核修改】
↓
4. 用户给回修改后的文本
↓
5. 我匹配时间戳 → 生成 SRT
↓
6. 烧录字幕（FFmpeg）
使用 OpenAI Whisper 模型进行语音转文字：
whisper video.mp4 --model medium --language zh --output_format json
| 模型 | 用途 |
|---|---|
medium |
默认，平衡速度与准确率 |
large-v3 |
高精度，较慢 |
输出 JSON 包含逐词时间戳，用于后续 SRT 生成。
| 规则 | 说明 |
|---|---|
| 一屏一行 | 不换行，不堆叠 |
| ≤15字/行 | 超过15字必须拆分（4:3竖屏） |
| 句尾无标点 | 你好 不是 你好。 |
| 句中保留标点 | 先点这里，再点那里 |
读取 词典.txt，每行一个正确写法：
skills
Claude
iPhone
我自动识别变体：claude → Claude
我给用户的（纯文本，≤15字/行）：
今天给大家分享一个技巧
很多人可能不知道
其实这个功能
藏在设置里面
你只要点击这里
就能看到了
用户修改后给回我，我再匹配时间戳生成 SRT。
默认：24号白字、黑色描边、底部居中
可选样式：
| 样式 | 说明 |
|---|---|
| 默认 | 白字黑边 |
| 黄字 | 黄字黑边（醒目） |
用户可说：
01-xxx_字幕稿.txt # 纯文本，用户编辑
01-xxx.srt # 字幕文件
01-xxx-字幕.mp4 # 带字幕视频
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionvideocut-subtitleExecute the skills CLI command in your project's root directory to begin installation:
Fetches videocut-subtitle from zrt-ai-lab/opencode-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate videocut-subtitle. Access via /videocut-subtitle in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Run in your terminal
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Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
pproenca/dot-skills
flutter/skills
affaan-m/everything-claude-code
dylantarre/animation-principles
devmartinese/awwwards-animations-skill
remotion-dev/skills
Keeps context tight: videocut-subtitle is the kind of skill you can hand to a new teammate without a long onboarding doc.
Solid pick for teams standardizing on skills: videocut-subtitle is focused, and the summary matches what you get after install.
Registry listing for videocut-subtitle matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: videocut-subtitle is the kind of skill you can hand to a new teammate without a long onboarding doc.
videocut-subtitle is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added videocut-subtitle from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
videocut-subtitle has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: videocut-subtitle is focused, and the summary matches what you get after install.
videocut-subtitle has been reliable in day-to-day use. Documentation quality is above average for community skills.
videocut-subtitle fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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