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moviepy for Video Production

Skill 已验证

Python video composition with moviepy 2.x — overlaying deterministic text on AI-generated video (LTX-2, SadTalker), compositing clips, single-file build.py video projects. Use when adding labels/captions/lower-thirds to LTX-2 or SadTalker outputs, building short ad-style spots in pure Python without Remotion, or doing programmatic video composition. Triggers include text overlay on video, label LTX-2 clip, caption SadTalker output, lower third, build.py video, moviepy, Python video composition, sub-30s ad spot.

AI 摘要

This skill utilizes the moviepy library to overlay deterministic text onto AI-generated video outputs (like LTX-2 or SadTalker) and to build programmatic video projects. It provides clear Python code examples for various use cases, including text rendering via PIL, audio-anchored timelines, and compositing, with detailed instructions on dependencies and potential gotchas.

Code Execution

info:ValidationWhile the Python code handles inputs like file paths and parameters, there is no explicit mention or use of a schema validation library for these inputs.

Practical Utility

info:Edge casesWhile the documentation mentions potential issues like `TextClip` bugs and dependency errors, it doesn't explicitly list and document failure modes with recovery steps for every scenario.

安装

npx skills add digitalsamba/claude-code-video-toolkit

通过 npx 运行 Vercel skills CLI(skills.sh)— 需要本地安装 Node.js,以及至少一个兼容 skills 的智能体(Claude Code、Cursor、Codex 等)。前提是仓库遵循 agentskills.io 格式。

8 days ago

digitalsamba

1.1k stars

MIT-0

更新于 6 days ago

查看源代码

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