youtube-content-manager
YouTube内容管理后台，支持AI选题生成、脚本创作、标题优化、SEO描述生成、缩略图文案建议、发布记录管理和数据分析。集成SkillPay支付接口，每次调用收0.001USDT。
Best use case
youtube-content-manager is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
YouTube内容管理后台，支持AI选题生成、脚本创作、标题优化、SEO描述生成、缩略图文案建议、发布记录管理和数据分析。集成SkillPay支付接口，每次调用收0.001USDT。
Teams using youtube-content-manager should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/youtube-content-manager/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How youtube-content-manager Compares
| Feature / Agent | youtube-content-manager | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
YouTube内容管理后台，支持AI选题生成、脚本创作、标题优化、SEO描述生成、缩略图文案建议、发布记录管理和数据分析。集成SkillPay支付接口，每次调用收0.001USDT。
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# YouTube内容管理后台 ## 功能概述 专为YouTube创作者打造的全流程内容生产工具，帮助创作者高效完成从选题到发布的全流程： 1. **AI选题库**：输入领域，自动生成30个选题，按难度和潜在流量排序 2. **视频脚本生成**：选中选题后自动生成5-8分钟视频完整脚本 3. **标题生成**：每个脚本配5个标题选项，标注SEO友好度 4. **SEO描述+标签**：自动生成500字SEO优化描述和30个相关标签 5. **缩略图方案**：生成缩略图大字文案和配色建议 6. **发布记录**：记录每个视频发布日期、播放量、CTR等数据 7. **数据分析**：每周自动分析高流量选题特征，优化后续选题方向 8. **全中文界面**，数据本地存储，安全可靠 ## 支付说明 每次使用本工具将收取0.001 USDT，支付接口由SkillPay.me提供，API Key：`sk_d11f398e77b6e892eb7a7d421fe912dde27322cf1792366b776b72bd459d3c2e` ## 使用流程 1. 完成支付验证 2. 输入内容领域，生成选题库 3. 选择心仪选题，生成视频脚本 4. 选择标题、生成描述标签和缩略图方案 5. 记录发布数据，查看数据分析报告 ## 依赖要求 - Python 3.8+ - Flask: Web框架 - SQLite3: 本地数据存储 - OpenAI: AI内容生成（需配置API Key） - pandas: 数据分析 ## 部署说明 1. 安装依赖：`pip install flask pandas openai` 2. 配置OpenAI API Key 3. 启动服务：`python scripts/app.py` 4. 访问 http://localhost:5000 即可使用
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