Academic

Integrated skill for fact-checking and reference verification. Covers claim identification, source verification, and reference management. Use for document review, article proofreading, report verification, and academic paper checking.

Apply rigorous scientific writing standards for academic manuscripts. Use when writing abstracts, introductions, methods, results, or discussions for papers, grants, theses, or mermaid figure.

Expert personal finance coach with deep knowledge of tax optimization, investment theory (MPT, factor investing), retirement mathematics (Trinity Study, SWR research), and wealth-building strategies grounded in academic research. Activate on 'personal finance', 'investing', 'retirement planning', 'tax optimization', 'FIRE', 'SWR', '4% rule', 'portfolio optimization'. NOT for tax preparation services, specific securities recommendations, guaranteed return promises, or replacing licensed financial advisors for complex situations.

Interactive prompt builder for creating high-quality deep research prompts through adaptive interviewing. Use when users need to transform a basic research topic into a comprehensive, well-structured research prompt optimized for deep analysis. Helps build research prompts from vague ideas, enhance existing questions with best practices, and create structured prompts for any domain including product comparisons, technical documentation, academic literature, and market analysis.

Analyze completed growth experiment results, validate hypotheses, generate insights, and suggest follow-up experiments. Use when experiments are completed, when the user asks about results or learnings, or when discussing what to do next based on experiment outcomes.

Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.

LMS-ESID core architecture including one-class-three-teachers system, course structure, grade levels, role permissions, and database schema. Use this skill when understanding teacher types (LT/IT/KCFS/HT), course relationships, class naming conventions, academic year data, or table relationships.

Generate polished one-pagers for CollectiveGood across three audience types: investors,academic collaborators, and commercial partners. Incorporates competitive positioning,strategy documents, and market intelligence to produce consistent, compelling materials.

Generate structured LaTeX exam cheat sheets from course materials. Extracts key concepts, definitions, formulas from PDFs, Jupyter notebooks, and markdown files. Compiles to PDF with error checking.

Optimize educational content specifically for Google NotebookLM processing, book generation, quiz creation, and flashcard development with enhanced metadata, cross-references, and AI-friendly formatting.

Example skill demonstrating YAML best practices. Use when learning skill structure, reviewing formatting standards, or creating new skills as a reference.

Research subject matter, align to educational standards, map prerequisites, and recommend learning theories for curriculum design. Use when starting curriculum development, exploring new topics, or needing standards alignment. Activates on "research this topic", "what standards apply", "curriculum research", or "prerequisite analysis".

Elite AI/ML Senior Engineer with 20+ years experience. Transforms Claude into a world-class AI researcher and engineer capable of building production-grade ML systems, LLMs, transformers, and computer vision solutions. Use when: (1) Building ML/DL models from scratch or fine-tuning, (2) Designing neural network architectures, (3) Implementing LLMs, transformers, attention mechanisms, (4) Computer vision tasks (object detection, segmentation, GANs), (5) NLP tasks (NER, sentiment, embeddings), (6) MLOps and production deployment, (7) Data preprocessing and feature engineering, (8) Model optimization and debugging, (9) Clean code review for ML projects, (10) Choosing optimal libraries and frameworks. Triggers: "ML", "AI", "deep learning", "neural network", "transformer", "LLM", "computer vision", "NLP", "TensorFlow", "PyTorch", "sklearn", "train model", "fine-tune", "embedding", "CNN", "RNN", "LSTM", "attention", "GPT", "BERT", "diffusion", "GAN", "object detection", "segmentation".

Deep technical assistant for projects that combine Neural Quantum States (FFNN and Transformer-based) with Sample-based Quantum Diagonalization (SQD). Trigger this skill whenever the task involves: (1) designing or analyzing NQS architectures for quantum chemistry, (2) connecting classical samplers to qiskit-addon-sqd, (3) studying sample-efficiency, bias, and variance in few-sample regimes (e.g. 12–14-bit H2).

Conduct comprehensive academic research using OpenAlex, PDF extraction, paper search MCPs, and web search. Always produces comprehensive reports with 5+ evidence cards covering conflicting ideas and best approaches. Integrates academic papers (high weight) and non-academic sources (blogs, docs - lower weight but valuable for SOTA). Use when: (1) Researching software architecture patterns, (2) Finding academic papers on technical topics, (3) Conducting literature reviews, (4) Analyzing research papers for evidence-based decisions, (5) Building evidence cards from papers, (6) Finding related works and citations, or (7) When you need grounded, paper-backed technical recommendations. Triggers: research, find papers, literature review, evidence-based, academic research, compare approaches, what does research say, find studies on, search for papers about.

Skriptoteket-specific brutalist/academic UI design. Use for Vue/Vite SPA and SSR templates when you want grid-based layouts, systematic typography, and high-contrast “academic” aesthetics, while staying compatible with Skriptoteket’s pure-CSS + HuleEdu token stack (no Tailwind).

[REPLACE] Teach concepts and demonstrate patterns with examples. Use when [REPLACE with specific triggers].

Analyze GRPO training runs for learning dynamics and pipeline performance. Use when diagnosing training issues, reviewing Elo progression, checking throughput, or updating experiment results.

Use when writing systematic review manuscript sections following PRISMA 2020 guidelines. Covers abstract, introduction, methods, results, and discussion drafting for medical journals. Invoke for academic writing assistance.

Search and retrieve academic literature from multiple databases.LOAD THIS SKILL WHEN: User says "搜尋文獻", "search literature", "find papers", "PubMed", "學術搜尋" | needs to find research articles | starting literature review.CAPABILITIES: PubMed search, MeSH term expansion, citation metrics, batch retrieval.