skillforge

Skillforge is an automated system designed to improve the coding abilities of AI models like Claude Code. It operates as a continuous learning loop, automatically researching and testing different approaches to enhance the model's skills. The system evaluates code quality across six key dimensions and uses a structural linter and Python scorer to provide feedback. Developers and researchers working with large language models can use Skillforge to accelerate the process of skill development. It's particularly useful for those seeking to optimize model performance without extensive manual intervention. Skillforge's autoresearch approach, inspired by Karpathy's work, allows for efficient and targeted skill improvement.

Skillforge addresses the challenge of manually improving the coding skills of AI models, which is time-consuming and requires significant expertise. Instead of relying on manual testing and adjustments, developers can use Skillforge to automate this process and achieve faster, more consistent skill gains.