agent-tutor-skill

This Claude Code skill reviews an undergraduate thesis through six weighted dimensions: topic and workload, methodology, data and results, discussion and argument, writing and structure, and references and academic practice. It scans the document, confirms checkpoints, performs chapter-level review by discipline, and produces a seven-part report. Selectable-text PDF, DOC, or LaTeX files are supported; scanned pages need OCR. The score is calibrated for undergraduate work and does not replace a supervisor, formal plagiarism check, or graduate-level review.

Tutor de Skills teaches beginners to create Claude skills through an interactive five-level progression. The tutor adapts the pace, builds a working skill alongside the learner, and shifts from demonstration to shared work and independent practice instead of delivering a lecture. It also includes branded HTML teaching material for instructors, plus references covering the levels, a guided case, and visual identity.

cognitive-learning-canvas is a Chinese-language prompt framework for Claude, ChatGPT, Gemini, and similar assistants. It organizes difficult courses, papers, documents, or video transcripts into seven Obsidian Canvas layers: schema anchor, concrete example, terms, mechanism chain, self-test, deeper understanding, and a one-line close. A core metaphor and four-question test support pre-reading and concept mapping; it is not a replacement for the source or a step-by-step tutorial.

Give the skill one focused concept—such as an agent, RAG, or chain-of-thought—and it produces a self-contained HTML lesson with sourced definitions, plain-language explanation, a continuing product example, practice questions, and an interactive demo. It is designed mainly for AI product-manager training and technical education, using a fixed four-step creation process so separate lessons keep a consistent structure.