Reference Cangjie standard library APIs across std.core, std.io, std.fs, and std.unittest.
npx skills add https://github.com/JunjieChen0/NJUST --skill cangjie-std
Please help me install this Agent Skill. Skill: cangjie-std Source: https://github.com/JunjieChen0/NJUST/tree/main/.njust-ai/skills/cangjie-std Command: npx skills add https://github.com/JunjieChen0/NJUST --skill cangjie-std
Provides a concise, easy-to-navigate reference to the Cangjie standard library, reducing time spent searching docs during development.
Look up a typical API, for example: listing core std.convert formatting helpers
High-intent search queries and answers about installing and using this skill.
You can look up Cangjie standard library APIs by querying the std.core, std.io, std.fs, and std.unittest packages for quick API descriptions and usage notes to accelerate implementation.
Available Cangjie std packages include std.core, std.io, std.fs, and std.unittest, which support common coding tasks involving core logic, input/output, file system access, and testing.
Yes, you can use this Cangjie API reference to onboard new contributors by providing them with quick-look API descriptions and usage notes that accelerate learning the standard library structure.
The best way to find std.convert formatting helpers is to query the Cangjie standard library reference directly, which exposes quick-look API descriptions for core formatting functions.
Yes, the Cangjie standard library reference covers the std.unittest package, providing API descriptions and usage notes that support code review and testing workflows.
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