agent-skills

This Skill addresses the issue of AI agents lacking the correct patterns when generating code for structured data validation and form management. In practical development, developers often need AI agents to assist in writing data validation logic or complex forms. However, AI tends to use outdated or incorrect APIs, leading to code that is difficult to maintain or contains security vulnerabilities. This skill pack injects best practices for Valibot and Formisch, enabling AI agents to output reliable code that aligns with the libraries' design philosophies.

Usage is straightforward: simply install this skill pack into an AI system that supports Agent Skills. After installation, you can use natural language instructions to have the AI agent create Valibot schemas, generate form components with validation, or refactor existing form code. The AI agent will automatically follow Valibot's pipe-based validation and Formisch's declarative state management with useForm, reducing the need for manual adjustments.

It is particularly suitable for frontend developers, full-stack developers, and agent developers who frequently write data validation logic or complex forms. Teams already using TypeScript and the React ecosystem can use this skill pack to standardize the AI agent's coding style, ensuring generated code is consistent with the existing project codebase. For individual developers building AI-driven form generation tools, this skill pack can also significantly accelerate prototype iteration.

It is recommended to consistently use this toolkit in scenarios requiring strict data validation or multi-step form interactions. Note that both Valibot and Formisch are relatively new libraries with frequent version updates. After installation, it is advisable to regularly check the compatibility between the skill pack and the library versions. Additionally, this skill pack primarily focuses on frontend form scenarios and does not cover backend API validation or form management for non-React frameworks.