Best use case
audio-summary Skill is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
音频/视频转文本总结助手。
Teams using audio-summary Skill 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/audio-summary/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How audio-summary Skill Compares
| Feature / Agent | audio-summary Skill | 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?
音频/视频转文本总结助手。
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
# audio-summary Skill 音频/视频转文本总结助手。 ## 功能 1. **自动音频提取**：使用 `ffmpeg` 从 MP4 等视频文件中提取 16k mono 压缩音频，以适配大模型体积限制。 2. **转录转总结**：基于百炼 `qwen3-asr-flash` 模型，自动将音频转换为文字并生成内容分段总结。 3. **大文件支持**：通过 48k 压缩，支持最长约 5-8 分钟的视频单次直接转录。 ## 依赖 - `ffmpeg` (已安装在系统路径) - `openai` Python SDK (已安装) - 百炼 API KEY (已在脚本中配置为 `sk-76735...`) ## 使用方法 ### 从命令行运行 ```powershell # 对指定视频进行提取和总结 python .openclaw/workspace/skills/audio-summary/audio_summary_skill.py "C:\Path\To\Your\Video.mp4" ``` ### 文件位置 - 提取出的总结文本将自动保存在视频同级目录下，并命名为 `视频名_summary.txt`。 ## 注意事项 - 目前单次 Base64 转录限制为 6MB，对于超过 10 分钟的长视频，建议先手动切分或进一步降低码率。 - API 费用按 `qwen3-asr-flash` 模型计费。
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