Parse Cangjie command-line arguments using std.argopt option schemas.
npx skills add https://github.com/JunjieChen0/NJUST --skill cangjie-std-args
Please help me install this Agent Skill. Skill: cangjie-std-args Source: https://github.com/JunjieChen0/NJUST/tree/main/.njust-ai/skills/cangjie-std/args Command: npx skills add https://github.com/JunjieChen0/NJUST --skill cangjie-std-args
This Skill standardizes and simplifies the process of handling command-line arguments in Cangjie language projects by providing clear guidance on main signatures and argument parsing patterns.
Create a sample Cangjie program that defines main(args: Array<String>) and uses parseArguments to access options and non-options from the command line.
High-intent search queries and answers about installing and using this skill.
To parse command-line arguments in Cangjie, define a main signature like main(args: Array<String>) and use the std.argopt library to extract structured options and non-option arguments.
The recommended main signature for CLI argument handling in Cangjie uses main(args: Array<String>), supporting zero, single-parameter, and multi-parameter forms to access command-line inputs.
You define option schemas in std.argopt by specifying Short, Long, Full, and NonOptions argument modes, which enables structured parsing and clear extraction of command-line flags and values.
Yes, std.argopt provides well-defined error handling workflows for command-line parsing, ensuring robust CLI utilities can gracefully manage invalid or missing argument inputs.
You need structured argument parsing for Cangjie CLI tools when building utilities that require clear option schemas, multiple argument modes, and reliable extraction of non-option parameters.
Yes, std.argopt allows you to extract non-option arguments separately from Short and Long flags by defining NonOptions within your argument parsing schema.
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