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moviepy for Video Production

Skill 확인됨

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 요약

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.

설치

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

Vercel skills CLI(skills.sh)를 npx로 실행합니다. 로컬에 Node.js와 skills 호환 에이전트(Claude Code, Cursor, Codex 등) 중 하나 이상이 설치되어 있어야 합니다. 저장소가 agentskills.io 형식을 따른다고 가정합니다.

8 days ago

digitalsamba

1.1k stars

MIT-0

6 days ago에 업데이트됨

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