Port Python modules to TypeScript with parity testing and integration verification.
npx skills add https://github.com/ammonfife/sakima.co --skill lift-module
Please help me install this Agent Skill. Skill: lift-module Source: https://github.com/ammonfife/sakima.co/tree/main/.claude/skills/lift-module Command: npx skills add https://github.com/ammonfife/sakima.co --skill lift-module
This Skill automates the process of porting Python modules to TypeScript, ensuring that the functionality is preserved and parity between the two languages is maintained.
auction_tools/ to lkup.info/shared/, ensuring seamless integration and accuracy.To port a module named 'module-name', run: lift-module <module-name>
High-intent search queries and answers about installing and using this skill.
To port Python modules to TypeScript with functional parity, you need a process that analyzes source code, creates the TypeScript module, and runs parity testing to verify identical results. This ensures accuracy and compliance.
Automating Python to TypeScript code conversion involves pre-flight checks, source code analysis, module creation, and integration verification. This workflow seamlessly ports Python modules into a shared TypeScript directory while maintaining functionality.
Yes, module porting requires Python for source code access and TypeScript for porting. Both environments are necessary to analyze the original Python modules and generate accurate, compliant TypeScript replacements.
Parity testing verifies that the newly created TypeScript module produces identical results to the original Python module. It is a core phase of the porting process that ensures accuracy and functional equivalence before integration.
Yes, screenshot proofing captures the TypeScript module in action to visually verify its correctness. This step complements parity testing by confirming that the ported code behaves as expected in a live environment.
Automated code conversion requires pre-flight checks and source code analysis to handle language differences. Limitations arise if the Python source is inaccessible or if integration verification fails due to non-portable dependencies.
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