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yinyichen987-sketch/Edit-Skill

A comprehensive knowledge base and pipeline for JianYing/CapCut editing: transform raw footage into deliverable JianYing draft projects (footage exploration, output style inference, EDL editing decisions, draft generation) and accumulate verifiable editing knowledge (operational knowledge base, technique library, kill-frame extraction calibration, environmental test facts). Suitable for batch-editing raw footage into short videos using fixed techniques, and for questions like 'how to achieve a specific effect in JianYing' or 'can this be automated'.

What is Edit-Skill?

This skill provides a complete knowledge base and automated pipeline for video editing using JianYing (CapCut). It allows AI agents to ingest raw footage, analyze it, infer the desired output style, make editing decisions based on an Edit Decision List (EDL), and generate a deliverable JianYing draft project that can be directly opened in the app. Additionally, it builds and continuously refines a structured repository of verifiable editing knowledge, including operational steps for specific features, technique libraries, kill-frame extraction calibration, and environmental test facts. This makes it ideal for two main use cases: batch-producing short videos from raw clips using consistent editing templates, and providing precise, actionable answers to complex questions such as 'how to create a specific transition effect in JianYing' or 'can a particular editing workflow be automated'. The skill supports both JianYing (Chinese) and CapCut (international) platforms, and relies on a structured skill file (SKILL.md) that defines all commands, tools, and knowledge base schemas.

Works with~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/yinyichen987-sketch/Edit-Skill/tree/main/.dsh/skills/jianying-edit
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What does Edit-Skill do?

A comprehensive knowledge base and pipeline for JianYing/CapCut editing: transform raw footage into deliverable JianYing draft projects (footage exploration, output style inference, EDL editing decisions, draft generation) and accumulate verifiable editing knowledge (operational knowledge base, technique library, kill-frame extraction calibration, environmental test facts). Suitable for batch-editing raw footage into short videos using fixed techniques, and for questions like 'how to achieve a specific effect in JianYing' or 'can this be automated'.

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