Traction scoreGitHub stars can be faked, so popularity alone can be misleading. Traction Score looks for broader signs of real attention, adoption, and active maintenance.
This collection provides structured frameworks for deep learning and technical quality. It includes a reading coach that guides users through books using knowledge compilation, spaced repetition, and mastery testing to ensure information is retained rather than just read.
For developers, the repository offers a code review lens that analyzes git changes for SOLID violations and security risks, providing actionable improvements from the perspective of a senior engineer.
WHO IT'S FOR
Software engineers
performing expert code reviews for SOLID and security
Self-directed learners
mastering complex topics via Socratic tutoring
Students and researchers
systematically studying books with spaced repetition
AI skill developers
auditing Claude Code skills for quality and efficiency
Compatible AgentsThe repository documents support for these agents. The skills may also work with other agents that can load SKILL.md files, but they may need some setup or small changes.