video-script▌
sugarforever/01coder-agent-skills · updated May 30, 2026
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Help YouTubers/UP主 prepare video content: write structured scripts (口播稿), blog posts, and platform-specific publishing materials.
Video Script & Publishing Materials
Help YouTubers/UP主 prepare video content: write structured scripts (口播稿), blog posts, and platform-specific publishing materials.
Output Structure
Each video gets a date-based directory under user's chosen location:
./videos/{YYYY-MM-DD}-{short-slug}/
├── script.md # 视频口播稿
├── blog.md # 博客文章
├── youtube.md # YouTube 发布素材
└── bilibili.md # Bilibili 发布素材
Interactive Workflow
Step 1: Gather Information
IMPORTANT: Before writing anything, collect sufficient context from the user. Ask the user:
请提供以下信息,帮我为你准备视频内容:
1. **视频主题**:这期视频讲什么?(必填)
2. **目标平台**:YouTube / Bilibili / 两者都有?(默认:两者)
3. **目标时长**:大约几分钟?(默认:10分钟)
4. **目标观众**:面向什么人群?(如:开发者、AI爱好者、初学者)
5. **关键要点**:你希望视频覆盖哪些要点?(可以是大纲、笔记、或链接)
6. **相关资料**:有没有参考文章、文档、代码仓库?(可选,我可以帮你研究)
已有部分信息的话,直接告诉我就好,缺的我会追问。
If the user provides partial info upfront, only ask for the missing pieces.
Step 2: Research (If Needed)
If the user provides reference URLs, docs, or repos:
- Use WebFetch to read reference articles/docs
- Use Read/Grep/Glob to explore code repos
- Use WebSearch to find supplementary information
- Summarize key points for script use
If the topic is about a specific technology/tool:
- Research its core features and selling points
- Find common pain points it solves
- Look for comparison angles with alternatives
Step 3: Create Directory
Create the date-based directory:
./videos/{YYYY-MM-DD}-{short-slug}/
Example: ./videos/2026-03-07-react-server-components/
The short-slug should be a brief, descriptive kebab-case label derived from the topic.
Step 4: Write Script (script.md)
Write a structured 口播稿 in the user's preferred language. The script should be conversational and natural for speaking.
- See
templates/script.mdfor the output format template - See
references/script-guidelines.mdfor detailed writing rules
Step 5: Write Blog Post (blog.md)
Repurpose the video content into a blog post to maximize content utilization. The blog should NOT be a transcript - it should be a standalone article that reads naturally.
- See
templates/blog.mdfor the output format template - See
references/blog-guidelines.mdfor detailed writing rules - IMPORTANT: Follow the
personal-writing-styleskill conventions
Step 6: Write Platform Descriptions (youtube.md & bilibili.md)
Generate separate publishing materials for each platform. The two platforms share the same core content but differ in structure and promo placement.
- See
templates/youtube.mdandtemplates/bilibili.mdfor output format templates - See
references/platform-differences.mdfor platform-specific rules and guidelines
Step 7: Review & Iterate
完成后提示用户:
视频脚本和配套内容已准备好:
📂 {目录路径}/
├── script.md — 口播稿(约 X 分钟)
├── blog.md — 博客文章
├── youtube.md — YouTube 发布素材
└── bilibili.md — Bilibili 发布素材
请检查内容,如果需要调整,告诉我:
- 需要修改哪个部分?
- 风格/语气需要调整吗?
- 有要补充的要点吗?
提示:youtube.md 中的章节时间戳是估算值,请在剪辑完成后根据实际时长调整。
Personal Promotion Info
Users should configure their promotion block. On first use, ask the user for their promotion links and save to auto memory for cross-session persistence.
When asking:
我注意到这是你第一次使用视频脚本 skill。请提供你的个人推广信息,我会记住以便后续使用:
- 社交媒体链接(Twitter、Bilibili、YouTube 等)
- 知识星球/社群链接
- 联系方式
- 其他固定推广信息(如课程链接、赞助信息等)
Save to auto memory directory as video-promo.md (e.g. ~/.claude/projects/.../memory/video-promo.md). On subsequent uses, check if this file exists in the memory directory and read it directly — no need to ask again.
Examples
See references/examples.md for detailed examples of different usage scenarios.
Critical Rules
- 先问后写 — 信息不足时必须追问,不要猜测用户意图
- 口语化脚本 — 脚本是用来说的,不是用来读的
- 时间戳是估算 — 明确提醒用户剪辑后需调整
- 不要自动发布 — 只生成文件,不执行任何发布操作
- 保留用户风格 — 如果用户提供了之前的视频风格参考,尽量保持一致
- 推广信息复用 — 首次询问后保存到 auto memory,后续自动填充
- 日期目录 — 每期视频按当天日期创建独立目录
How to use video-script 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 video-script
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches video-script from GitHub repository sugarforever/01coder-agent-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 video-script. Access the skill through slash commands (e.g., /video-script) 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
4.7★★★★★65 reviews- ★★★★★Fatima Ghosh· Dec 24, 2024
Solid pick for teams standardizing on skills: video-script is focused, and the summary matches what you get after install.
- ★★★★★Ira Ghosh· Dec 20, 2024
Useful defaults in video-script — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Mia Brown· Dec 16, 2024
video-script is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Pratham Ware· Dec 12, 2024
Registry listing for video-script matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Fatima Kapoor· Dec 12, 2024
video-script fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Henry Srinivasan· Dec 4, 2024
We added video-script from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Fatima Desai· Nov 27, 2024
video-script is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Yuki Kim· Nov 23, 2024
Useful defaults in video-script — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Yusuf Mehta· Nov 15, 2024
video-script has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Fatima Dixit· Nov 11, 2024
We added video-script from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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