#SkillRepo stars

1. 49Course Helperxxxhhhccc458/course-helper课程学习资料整理与习题解答方法：把讲义、课件、PDF 整理成复习大纲，解答习题，生成公式速查表与易错辨析；并维护跨会话的教学交接文档（学习进度）、管理项目提示词库、按模块拆分项目资料档案（B 层）。当用户在课程学习类项目中要求整理讲义或课件、编写或续写复习大纲、讲解课程概念、解答作业题（HW／习题）、续写学习进度或教学交接文档、登记常用提示词时使用。不适用于纯代码工程项目。13
2. 50Think Like Mekakha13/think-like-mePersonal engineering rules and reasoning patterns the user has curated over time. Consult BEFORE writing, modifying, debugging, or designing any technical feature — rules often cover domain-specific gotchas (e.g., mobile audio timers need background mode) that generic answers miss. Also triggers on `/learn-this`, "learn this", "remember this", or `/new-rule` to capture new rules, and on detected corrections to previously proposed code.13
3. 51VaultForgeEasonnotsing/VaultForgeProcess learning materials into structured Obsidian atomic notes with roadmaps, MOCs, and double-links. Auto-generate study vaults from PDFs, Markdown, Word, PowerPoint, and more with AI-powered note-taking, knowledge linking, and deep research. Supports English and Chinese output. Use when the user wants to build a study vault from documents. 将学习资料转为带路线图、MOC、双链与终检的 Obsidian 原子笔记知识库。支持中英文输出。用户希望「从材料到笔记库」时使用。12
4. 52Agentic LearningFavioVazquez/agentic-learningA learning partner skill grounded in neuroscience and philosophy. Use when you want to actually learn a concept (not just get an answer), quiz yourself on a codebase, reflect on what you built, brainstorm a design collaboratively, practice productive struggle on a hard problem, journal a decision with its alternatives and consequences, or schedule concepts to revisit later. Invoke with @agentic-learning followed by one of: learn, quiz, reflect, space, brainstorm, explain-first, struggle, either-or, explain, interleave, or cognitive-load.11
5. 53Loft Hourslazyfoxjumps/Loft-HoursSession-based focus skill that acts as a silent body-doubling study partner. Runs structured focus blocks with goal intake, opt-in environment setup (Do Not Disturb, app management, focus music), break check-ins, and a wrap-up that writes a markdown session log. Compounds value via weekly/monthly rollups over the log folder. Trigger on "/loft-hours", "/study-with-me", "loft hours", "study with me", "focus session", "deep work session", "pomodoro for me", "I need to focus", "body double me", "be my study buddy", "help me focus for [N] minutes", "let's do a work session". Also trigger on resume 10
6. 54Self Improvementlanyasheng/self-improving-agentCaptures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User explicitly corrects agent with direct correction like 'No, that's wrong', (3) User requests a capability that doesn't exist, (4) An external API or tool fails. CRITICAL: Maximum 1 learning log per user message. Do NOT chain multiple self-improvement actions.8
7. 55Deep Learningquzhi-ai/deep-learning苏格拉底式深度学习导师 —— 当你想"真正搞懂"一样东西（一个概念、一套系统、一个业务领域、一段代码、一篇文章的底层逻辑），而不只是要个答案时使用。它不一次性把答案倒出来，而是循序渐进地教、逼你用自己的话复述、追着问"为什么"直到根因，并全程维护一份 Markdown 学习清单跟踪理解程度。触发词："我想搞懂 XX""学透 XX""deep learning""带我学透""教我懂""讲透""我好像懂了又讲不清""考考我懂没懂""逐步教我""我想学 XX 但要真懂""帮我理解 XX 的原理"。只要用户表达出"要的是真懂、不是结论"的意图，哪怕没说"学透"二字也应触发。**不要用于**：① 纯事实查询（"今天周几""这个 API 怎么调"——直接答）；② 要快速产出的执行任务（写邮件/做 PPT/出报告——用对应执行工具）；③ 决策类（要不要做某事）、方案设计类（从零设计一个系统）、故障诊断类（查一个出问题的根因）——这些请用对应的专门工具。本 skill 专攻"理解已存在的知识"，不负责决策、设计、诊断。8
8. 56Mentorayhammouda/mentorUse when the user asks how to learn a technology, wants a docs-first learning direction, mentorship compass, reading path, roadmap, or curated resources for a technical subject. Triggers: "how do I learn X", "what should I read for X", "learning path for X", "docs to learn X", "resources to learn X", "best way to pick up X", "where should I start with X", "I want to get into X". Does NOT trigger for debugging, code review, implementing a feature, explaining one isolated concept, or generating hands-on tutorials unless the user explicitly asks for practice.9
9. 57Abet Clo Mapperlabarba/abet-clo-mapperMaps Course Learning Outcomes (CLOs) to ABET EAC Student Outcomes (1) through (7) for accreditation documentation. Use when asked to "map my CLOs to ABET," "check ABET alignment," "review my course outcomes against accreditation criteria," "which ABET outcomes does my course address," "help with my ABET self-study," or "prepare my course for accreditation review." Produces a structured alignment table with classifications and a narrative justification for each mapping. Do NOT use for program-level assessment or for mapping to program educational objectives (PEOs) — those require different fram8
10. 58Eli5wangsoft/ELI5Explain unfamiliar mechanisms in plain language; create or maintain self-contained HTML learning pages with visual models, quizzes, explain-back checks, flashcards, and optional interaction; or produce a decision brief when the user must choose among options. Use for ELI5 or visual explanations, durable learning pages, quizzes, review of earlier concepts, and decision briefs. Give single facts and ordinary quick explanations inline without files. A named audience alone does not imply a decision brief.6
11. 59Learn Somethingadamaiken89/learn-somethingStructured learning framework for any subject from text. Create syllabus + lessons + MCQ quizzes interactively with LLM. Study via CLI with spaced repetition (FSRS-6). Three-theory pedagogy: Marva Collins' Way (repetition, reframing, high expectations), Feynman Technique (explain-simply, find gaps), Desirable Difficulties (spaced/MCQ/retrieval). Cost-effective: content creation ~$0.10 per course; per-session cost = $0. Trigger: "I want to learn [topic]", "build curriculum for [subject]", "create learning module", "help me study [topic]", "/learn [topic]6
12. 60Salgadoia Tutor Skillsangelapaia/tutor-de-skillsTutor interactivo y adaptativo que enseña a crear skills de Claude desde cero a cualquier persona que nunca ha hecho una, subiendo por una escalera de 5 niveles de complejidad y construyendo skills reales con el alumno (modelo "yo lo hago / lo hacemos / lo haces tú"). Genera material explicativo en HTML siempre con la identidad de marca SalgadoIA. USAR SIEMPRE cuando el usuario diga "enséñame a crear skills", "tutoría de skills", "sesión de skills", "quiero aprender a hacer una skill", "no he hecho nunca una skill", "cómo se crea una skill", "mi primera skill", "forma a [alumno] en skills", "c6
13. 61Two Way Steelmanchen1pengvincent/two-way-steelman当用户想把一个已有立场、正在纠结或有待决策的问题想透、并希望得到不顺着自己的客观分析时使用。触发信号包括但不限于：明确要求钢人论证/双向钢人/steelman/魔鬼代言人视角/正反双方最强论证；问「该不该/要不要」这类二择或取舍（如该不该辞职/分手/跳槽/买房/考研）；或表达「帮我客观想清楚、别哄我、别和稀泥、给我一个明确立场」。适用于用户有一个可被钢人化对待的具体立场或选择；不适用于纯事实检索、写 pro/con 清单文档、或未表达任何待决立场的中性调研。Use when the user has a specific stance or decision to think through and wants a non-sycophantic, straight analysis: steelman/steelmanning, devil's advocate, strongest arguments for and against, decision analysis, 'should I or shouldn't I (quit, break up, move, buy, study...)', or 'don't flatter me / think it through objectively'. Not for neutral fact-finding or a st5
14. 62Learning CoachLucian1u/learning-coach通过自适应引导、必要讲解和独立练习，帮助用户学会并应用概念或技能。用于学习教练、带我学会、以掌握知识为目的的练习复习、检查理解或配置学习伙伴；不用于普通直接问答、会议回顾、摘要、代写或成品制作。5
15. 63Office Call Skillxiexie-qiuligao/counselor.skillBuild and evolve a single high-fidelity counselor system for real student-counselor communication rehearsal, distillation, correction, and reality-sync practice.5
16. 64Study Assistantplanetis-m/study-assistantStudy assistant workflow for turning provided study material into exam-focused deliverables such as verbatim transcriptions, study notes, lecture-style explanations, ELI5 explanations, flashcards, Mermaid mind maps, quizzes, and essay questions.5
17. 65Adapting Transfer Learning Modelsjeremylongshore/claude-code-plugins-plus-skillsThis skill automates the adaptation of pre-trained machine learning models using transfer learning techniques. It is triggered when the user requests assistance with fine-tuning a model, adapting a pre-trained model to a new dataset, or performing transfer learning. It analyzes the user's requirements, generates code for adapting the model, includes data validation and error handling, provides performance metrics, and saves artifacts with documentation. Use this skill when you need to leverage existing models for new tasks or datasets, optimizing for performance and efficiency.
18. 66Building Automl Pipelinesjeremylongshore/claude-code-plugins-plus-skillsThis skill empowers Claude to build AutoML pipelines using the automl-pipeline-builder plugin. It is triggered when the user requests the creation of an automated machine learning pipeline, specifies the use of AutoML techniques, or asks for assistance in automating the machine learning model building process. The skill analyzes the context, generates code for the ML task, includes data validation and error handling, provides performance metrics, and saves artifacts with documentation. Use this skill when the user explicitly asks to "build automl pipeline", "create automated ml pipeline", or n
19. 67Optimizing Deep Learning Modelsjeremylongshore/claude-code-plugins-plus-skillsThis skill optimizes deep learning models using various techniques. It is triggered when the user requests improvements to model performance, such as increasing accuracy, reducing training time, or minimizing resource consumption. The skill leverages advanced optimization algorithms like Adam, SGD, and learning rate scheduling. It analyzes the existing model architecture, training data, and performance metrics to identify areas for enhancement. The skill then automatically applies appropriate optimization strategies and generates optimized code. Use this skill when the user mentions "optimize