video-editing-skill

by maxazure · Codex Skill · ★ 204

About video-editing-skill

Video Editing Skill — 视频剪辑技能 把 5-15 分钟的原始口播音频 + 一堆无声素材,变成可发布的多平台短视频。 适配 小红书 / 抖音 / 微信视频号 三大主流平台,按各平台的算法、比例、时长、审核规则调过参。是一条 从口播 → 重组故事 → 平台守门 → 自动丰富 → 渲染 → 三平台导出 → 标题文案 的端到端流水线,不是另一个剪辑工具。 口播音频 + 无声素材 │ ├─→ transcribe.py 转写 + 词级时间戳 + 口误标记 │ (mlx-whisper / faster-whisper / openai-whisper) │ ├─→ transcriptreview.py transcript → 可编辑校验文件 → reviewed transcript │ corrections 字典 + 人工改词 + word timing 重分配 │ ├─→ speakerturns.py diarization JSON/RTTM → 说话人回合 review │ speaker badge enrich plan / crosstalk / 未标记门禁 │ ├─→ sceneboundaries.py 视频画面 → 视觉场景边界 │ ffmpeg scene score + JSON/Markdown review │ ├─→...

codexopenclawskills

Quick Facts

Stars204
Forks23
LanguagePython
CategoryCodex Skill
Quality Score41/100
Last Updated2026-10-18
Created2026-03-21
Platformscli, codex, python
Est. Tokens~40k

Compatible Skills

These tools work well together with video-editing-skill for enhanced workflows:

  • claude-skills — semantic(0.18)+complementary+shared_fw(openai)+same_lang+similar_pop (54%)
  • math-modeling-skill — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (52%)
  • Eva01 — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)
  • FunASR — semantic(0.23)+complementary+shared_fw(openai)+same_lang+shared_platform (51%)
  • FunClip — semantic(0.46)+complementary+same_lang+shared_platform (51%)

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Frequently Asked Questions

What is video-editing-skill?

video-editing-skill is OpenClaw/Codex Skill: Auto video editing for talk/vlog videos — speech recognition, sentence splitting, subtitle burning, and clip merging. It is categorized as a Codex Skill with 204 GitHub stars.

What programming language is video-editing-skill written in?

video-editing-skill is primarily written in Python. It covers topics such as codex, openclaw, skills.

How do I install or use video-editing-skill?

You can find installation instructions and usage details in the video-editing-skill GitHub repository at github.com/maxazure/video-editing-skill. The project has 204 stars and 23 forks, indicating an active community.

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