videocut-subtitle▌
zrt-ai-lab/opencode-skills · updated Apr 21, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
转录 → 纠错 → 审核 → 匹配 → 烧录
字幕
转录 → 纠错 → 审核 → 匹配 → 烧录
流程
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)
转录
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。
字幕规范
| 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 |
词典纠错
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
字幕稿格式
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。
样式
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:
- "字大一点" → 32号
- "放顶部" → 顶部居中
- "黄色字幕" → 黄字黑边
输出
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
How to use videocut-subtitle on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add videocut-subtitle
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches videocut-subtitle from GitHub repository zrt-ai-lab/opencode-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate videocut-subtitle. Access the skill through slash commands (e.g., /videocut-subtitle) or your agent's skill management interface.
Security & Verification Notice
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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ 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.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.4★★★★★68 reviews- ★★★★★Ama Farah· Dec 28, 2024
Keeps context tight: videocut-subtitle is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Kwame Abebe· Dec 16, 2024
Solid pick for teams standardizing on skills: videocut-subtitle is focused, and the summary matches what you get after install.
- ★★★★★Ava Garcia· Dec 12, 2024
Registry listing for videocut-subtitle matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Kwame Diallo· Dec 8, 2024
Keeps context tight: videocut-subtitle is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Michael Nasser· Dec 4, 2024
videocut-subtitle is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Evelyn Menon· Dec 4, 2024
We added videocut-subtitle from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Evelyn Huang· Nov 27, 2024
videocut-subtitle has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Naina Johnson· Nov 23, 2024
Solid pick for teams standardizing on skills: videocut-subtitle is focused, and the summary matches what you get after install.
- ★★★★★Hana Kim· Nov 19, 2024
videocut-subtitle has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Meera Thomas· Nov 11, 2024
videocut-subtitle fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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