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by worldwonderer · Claude Skill · ★ 470
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video-recap-skills 中文 · English 把任何视频做成中文解说 recap——在 Claude Code 里一句话搞定。 本地只要 和一个小米 MiMo 的 API Key,不要 GPU、不用下载模型。 演示 https://github.com/user-attachments/assets/92698ec6-0d23-4f9f-8825-c3684ef57aff 成片之外,还能一键导出剪映草稿接着手动精修——原片片段、解说、BGM、字幕各成一轨: 这是什么 一个 Claude Code 插件:五个小而独立的 skill 加一个编排器,各管一段,只靠 里的 JSON/MP4 传结果。确定的活儿(剪辑、配音、混音)交给脚本,解说词交给 Agent 写。 为什么用它 一个 key 跑全程。 ASR、VLM、TTS 全走小米 MiMo,本地只装 。 先调研再分析。 先把剧情人物查清楚写进 。 原声不丢,动态混音。 解说压低原声后混
| Stars | 470 |
| Forks | 86 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 62.9633693243167/100 |
| Last Updated | 2026-08-24 |
| Created | 2026-05-02 |
| Platforms | claude-code, cli, python |
| Est. Tokens | ~14k |
These tools work well together with video-recap-skills for enhanced workflows:
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百聆 是一个类似GPT-4o的语音对话机器人,通过ASR+LLM+TTS实现,集成DeepSeek R1等优秀大模型,接入openClaw,真正的个人语音助手,时延低至800ms,Mac等低配置也可运行,支持打断
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video-recap-skills is Clip any video into a narration recap with claude code skill|用 claude code skill 把任何视频剪辑成中文解说视频,支持剪映导出. It is categorized as a Claude Skill with 470 GitHub stars.
video-recap-skills is primarily written in Python. It covers topics such as ai-agent, asr, claude-code.
You can find installation instructions and usage details in the video-recap-skills GitHub repository at github.com/worldwonderer/video-recap-skills. The project has 470 stars and 86 forks, indicating an active community.
video-recap-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to video-recap-skills on Agent Skills Hub include video-recap-skills, adversarial-spec, narrator-ai-cli. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: