Extract, compare, and port features from GitHub repositories or local paths.
npx skills add https://github.com/auxi-wardrobe/auxi-all-in --skill ck-xia
Please help me install this Agent Skill. Skill: ck:xia Source: https://github.com/auxi-wardrobe/auxi-all-in/tree/main/.agents/skills/xia Command: npx skills add https://github.com/auxi-wardrobe/auxi-all-in --skill ck-xia
The ck:xia skill solves the problem of extracting, comparing, and porting features from GitHub repositories or local paths into a current project. It ensures that features are ported safely and efficiently.
To extract a feature from a GitHub repository and compare it to your local codebase, use the following command: /ck:xia <github-url|owner/repo|local-path> --compare
High-intent search queries and answers about installing and using this skill.
To extract and port a feature from a GitHub repository, run a structured workflow of reconnaissance, mapping, analysis, challenge, planning, and delivery to ensure code portability and minimize integration issues. Use `--compare` to map differences first.
The best way to compare code differences before porting a feature is through architectural comparison and analysis. This process evaluates the extracted feature against your local codebase for compatibility, ensuring safe integration through copying, improving, or rewriting.
Yes, you can port features from a local directory path. The extraction and comparison workflow accepts both GitHub URLs, owner/repo identifiers, and local file paths as valid input sources for mapping and analyzing code features.
Feature extraction from a repository requires a refactoring plan for local environments. The delivery phase includes planning and refactoring steps to ensure the extracted feature integrates well with your existing codebase architecture.
Porting code causes integration issues due to architectural incompatibilities and undocumented dependencies between the source and target codebases. A structured challenge gate analyzes and resolves these differences during the planning phase before delivery.
The limitations of automating code porting involve the challenge gate, which requires structured reconnaissance and mapping to prevent unsafe integration. Complex features may require manual rewriting or improvement rather than direct copying to ensure compatibility.
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