Validate and filter Go data structures with customizable rules.
npx skills add https://github.com/gookit/skills --skill gookit-validate
Please help me install this Agent Skill. Skill: gookit-validate Source: https://github.com/gookit/skills/tree/main/gookit-validate Command: npx skills add https://github.com/gookit/skills --skill gookit-validate
Validating and sanitizing user input or data sources is essential for reliable applications. This Skill provides comprehensive validation and filtering tools to ensure data accuracy and integrity.
Use the validate package to validate user input, such as ensuring an email address is properly formatted and a password meets length requirements.
High-intent search queries and answers about installing and using this skill.
To validate user input in a Go web API, you can apply customizable validation rules to HTTP Request data, ensuring proper formats and required fields for data reliability and security.
The best way to sanitize data structures in Go applications is using built-in validation rules that filter Map and Struct data sources. This approach ensures data integrity across web APIs and internal workflows.
Yes, you can validate Map and Struct data sources in Go CLI tools. This Skill supports validating user input and data structures regardless of format, making it suitable for CLI tools and internal data processing.
You can set up custom validation rules for user registration in Go by leveraging the rich validator set and customizable messages. This ensures proper formats and required fields are enforced consistently across your web services.
Yes, this Go validation tool works without external dependencies. It provides 70+ built-in validators for common and advanced input sanitization needs, allowing you to secure data without adding extra packages to your environment.
Data validation for web request formats in your Go application might fail if you lack consistent rules across diverse sources. This Skill handles HTTP Request, Map, and Struct filtering uniformly to prevent such data integrity issues.
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