Use cases · convert
Convert Code
Converting code from one language or format to another is a repetitive, detail-oriented task that AI agents handle exceptionally well. Whether you're migrating a project from Python to TypeScript, translating design tokens into CSS, or refactoring legacy code, agents can preserve logic and structure while adapting syntax and idioms. They eliminate manual translation errors and speed up cross-platform development. Below are 4 skills we evaluated for this task.
4 skills for this task
figma-generate-design
Use this skill alongside figma-use when the task involves translating an application page, view, or multi-section layout into Figma.
figma-generate-library
Build or update a professional-grade design system in Figma from a codebase.
mlx
Use when working with Apple's MLX or MLX-LM: fact-checking current behavior against upstream source/runtime, patching MLX-based repos, porting PyTorch/JAX code to MLX, validating lazy evaluation,…
figma
Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code.
Common questions
- Can an AI agent convert Python code to JavaScript?
- Yes, many agent skills can translate Python to JavaScript by mapping data structures, control flow, and standard libraries. The agent will output functionally equivalent JS code, though you may need to adjust runtime-specific APIs.
- How accurate is AI code conversion for complex projects?
- Accuracy depends on the skill and code complexity. For straightforward logic and common patterns, conversion is highly reliable. Complex algorithms or framework-specific code may require manual review and minor adjustments.
- Can agents convert design files like Figma into code?
- Absolutely. Some skills are specialized for converting Figma designs into React, HTML/CSS, or other frameworks. They extract styles, layouts, and components, generating production-ready code that matches the visual design.