Evaluating Skills

A light-weight evaluation framework was developed to quantitatively assess the effectiveness of Dagster Skills, which are designed to enhance projects using the Dagster framework by offering tools like dagster-expert, dagster-integrations, and dignified-python. The framework allows for the verification of correct skill usage and output by running headless prompts and monitoring changes over time through snapshots stored in version control. Key insights from this process include the importance of concise skills, decision trees for efficient information retrieval, and the creation of purpose-built command-line utilities to streamline operations. The evaluation framework not only ensures accurate skill performance but also fosters a self-optimizing feedback loop, improving system behavior and documentation accuracy, thus illustrating the critical role of technical writing and evaluations in the context of large-language models. The project encourages community engagement and contributions to further refine these tools.