Angel Reyero Lobo focused on enhancing the Permutation Feature Importance documentation for the lionelkusch/hidimstat repository, delivering a comprehensive update that improved clarity, structure, and maintainability. Working primarily with reStructuredText, Angel applied skills in documentation, machine learning, and statistical analysis to correct cross-references, clarify technical notes on GLM coefficients, and update bibliographic references. The work addressed navigability and onboarding challenges, making the documentation more accessible for new users and contributors. By collaborating closely with co-authors and emphasizing detail, Angel ensured the documentation accurately reflected the underlying statistical methods, supporting future development and broader adoption of the PFI module.