This repository serves as a curated directory of GitHub projects focused on 'human distillation skills'—the practice of extracting and encoding human expression styles, decision-making frameworks, and interaction patterns from individuals (such as personal contacts, idols, or public figures) into AI-readable formats. It does not contain any executable code, data processing pipelines, or analytical models itself; instead, it functions as a community-maintained index linking to external repositories that implement specific skill sets. The project is organized into thematic categories (self, interpersonal relationships, idols, and niche communities), each containing a markdown-formatted table of linked repositories with concise descriptions. Contributions are accepted via pull requests following a strict format to ensure consistency and usability. While the repository lacks traditional software engineering artifacts, it provides value as a discovery tool for researchers, developers, and enthusiasts seeking pre-existing work in the niche domain of personality-driven AI skill development. From a data perspective, the repository's sole asset is its README.md file, which acts as a structured dataset of skill project metadata. However, it does not include any data transformation, validation, or analytical components, limiting its reusability as a data engineering asset. The project exhibits minimal technical drift due to its simplicity and absence of external dependencies, and its maintenance status appears maintained based on recent commit activity (last commit 2026-04-08) and zero open issues, indicating ongoing community stewardship without significant backlog.