What problem does it solve?
This Skill turns a passive ML systems note repository into an interactive learning assistant that can plan, draft, review, and catalog technical articles in the author’s own style. It helps the user move from scattered notes to a coherent learning path, while preserving the repo’s writing conventions, depth preferences, and cross-reference structure.
Core Features & Use Cases
- Learning plan generation: Builds a topic roadmap from existing repo knowledge, related papers, PRs, and draft fragments.
- Article drafting: Completes unfinished Chinese drafts with the repo’s preferred structure, progression, and tone.
- Review and translation: Checks draft quality, style alignment, and link correctness before optionally translating to English with matching structure.
- Knowledge graph maintenance: Extracts metadata from published articles and updates the repo’s article graph and citation relationships.
- Use case: If you are writing about CUDA Graph, this Skill can first map the prerequisite articles, then outline a plan, then help finish the draft, and finally prepare metadata for publication tracking.
Quick Start
Ask the /learn skill to analyze my repo, identify the right prerequisites, and generate a Chinese learning plan for the topic I want to study.
