refactoring-07-documentation-usage

Quick Review

This skill provides a clear workflow for documenting Python research code with specific success criteria for each step. The structure is clean and well-organized with defined sequence ordering. However, the description is somewhat generic ('documenting Python research code') and could be more specific about what makes this skill uniquely valuable. The task knowledge is good with concrete actionable items (README updates, docstrings, examples, artifact documentation), though it lacks implementation details or templates. The novelty score is moderate because while the skill provides a structured checklist, most of these documentation tasks are straightforward for a CLI agent to understand and execute without significant token cost savings. The skill would benefit from more specific guidance on research code peculiarities (e.g., experiment parameters, model architectures, dataset preprocessing) that distinguish it from general software documentation.