Academic

Complete report writing capability combining reading, note-taking, validation, and formatting.LOAD THIS SKILL WHEN: User needs "寫報告", "write report", "整理成報告", "產出文件" | has source materials to summarize | creating academic document.CAPABILITIES: PDF reading, structured notes, content validation, format checking.COMPOSITE SKILL: Combines pdf-reader + note-writer + content-validator + report-formatter.

Use for Phase 2 of Course OS - conducting comprehensive topic research using a 4-pass strategy (landscape, deep dive, gap filling, synthesis) to build complete subject matter understanding. Triggers on "/course-research", "research topic", "deep dive research", or after completing Phase 1.

Conducts rigorous academic research and document analysis using Gemini's advanced control features (Logprobs, Citations, Long Context).

Conducts adaptive multi-round interviews to initialize learning resource projects. Collects topic, domain, motivation, background, preferences, and volume through dynamic conversation using ARCS/SDT theories. Use when starting new projects via /init-project or reinitializing project configuration.

Cross-database search using multiple academic sources. Triggers: 跨資料庫, multi-source, Semantic Scholar, OpenAlex, CORE, Europe PMC, 綜合搜尋

Phrack magazine article analysis, binary exploitation, vulnerability research, exploit development, Use-After-Free (UAF), heap exploitation, ROP chain, GDB debugging, pwntools, memory corruption, CVE analysis, ProFTPd exploitation, Docker exploit lab, security research, educational hacking, buffer overflow, stack exploitation, shellcode development

Work with the NNT (Nakul Notation Tool) compiler - parse music notation shorthand, query musical structures, and export to MusicXML, ABC, and other formats for PhD research and educational content

Extract and persist learnings from the current session. This skill should be used when the user wants Claude to analyze the conversation and capture insights, patterns, preferences, or knowledge discovered during work. Triggers on requests like "learn from this session", "what did we learn", or "capture insights".

Comprehensive research and analysis of books with actionable insights, hidden gems, and personalized recommendations. Use when the user requests book research, book reports, book analysis, or says "Research Book" followed by a book title. Adapts to project context (professional, personal, academic, hobby).

Generate comprehensive codebase documentation using the Diátaxis framework. Creates tutorials (learning-oriented), how-to guides (problem-solving), reference docs (technical descriptions), and explanations (conceptual). Supports monorepos, multiple languages, and session persistence (resume anytime). Use when: (1) documenting a new codebase, (2) updating existing docs after code changes, (3) user mentions "generate docs", "document this code", "write documentation", (4) creating README, API docs, or user guides.

CRITICAL QUALITY GATE: Enforces source-only policy for ALL medical study guide creation.ACTIVATES when creating study guides for ANY medical specialty: pharmacology, pathophysiology,clinical medicine, physical examination, or procedures.BLOCKS creation without pre-creation verification checklist confirming source file and template.This skill prevents adding external medical facts (except researched mnemonics) and ensuresall study guide content comes exclusively from the specified source file.

Use when performing meta-analysis, pooling study data, generating forest plots, funnel plots, assessing heterogeneity, or conducting subgroup and sensitivity analyses. Invoke for any statistical synthesis of multiple studies.

Conduct deep academic research for philosophy, neuroscience, cognitive science, and theoretical computer science (computability, complexity, AI theory, logic). Use when user asks to: research academic topics, find scholarly papers, conduct literature reviews, analyze citations, synthesize research findings, explore philosophical arguments, investigate consciousness/cognition, study computability/decidability/Turing machines, or analyze academic debates. Triggers on: 'research papers', 'literature review', 'academic sources', 'scholarly articles', 'philosophy of mind', 'computability theory', 'neuroscience studies', 'find papers on', 'what does the research say'.

Semantic search across Zotero library using cite-assist v3 API for academic research

Expert in visualizing and explaining braid theory, knot mathematics, and topological concepts for educational purposes. Use for creating interactive visualizations, explainer cards, step-wise animations, and translating abstract algebra into intuitive understanding. Activate on keywords: braid theory, knot visualization, σ notation, crossing diagrams, Yang-Baxter, topological education. NOT for general math tutoring, pure knot invariant computation, or non-educational knot theory research.

AI image generation using Google's Nano Banana Pro (Gemini 3 Pro Image).Generates research visualizations, lab graphics, hero banners, and academic imagery.USE WHEN: user says "generate image", "create visual", "nano banana","research graphic", "hero image", "AI image for".

Expert agent architect that creates new skills and agents for unfamiliar technologies. Has unfettered documentation access. Auto-creates skills at threshold (2+ uses).TRIGGERS - Keywords: create skill, create agent, new skill, new agent, skill creation, agent creation, unfamiliar technology, unknown framework, no specialist, missing skill, need expert, technology specialist, extend capabilities.TRIGGERS - Phrases: "create a skill for", "make an agent for", "need a specialist", "don't have a skill for", "unfamiliar with this tech", "research and create", "add support for", "extend to handle".TRIGGERS - Automatic: New technology encountered 2+ times without existing skill, learning agent proposes new agent, repeated documentation lookups for same technology.

Class and method usage analyzer for Pharo Smalltalk. Provides expertise in understanding class responsibilities through class comments (get_class_comment), discovering usage patterns via references (search_references_to_class), finding example methods (exampleXXX patterns), analyzing method usage in context (search_references with polymorphism handling), generating package overviews (list_classes with comment analysis), and resolving ambiguous names (search_classes_like, search_methods_like). Use when understanding what a class does, finding usage examples for classes or methods, discovering how to use an API, analyzing package structure and purpose, resolving unclear class or method names, or learning usage patterns from real-world code.

Research pipeline for topology-aware GNN representation learning on power grids using the PowerGraph benchmark. Use when (1) building physics-guided GNNs for power flow (PF), optimal power flow (OPF), or cascading failure prediction, (2) implementing self-supervised pretraining for power systems, (3) evaluating cascade explanation fidelity against ground-truth masks, or (4) conducting reproducible ML-for-power-systems research. Triggers include "PowerGraph", "power flow GNN", "OPF surrogate", "cascade prediction", "physics-guided GNN", "grid analytics ML", "power system representation learning".

Generate comprehensive quizzes with 80-100 multiple choice questions (MCQ) from a topic title or reference file. Questions include difficulty levels (Easy/Medium/Hard) with answer key at the end. Use when creating study materials, practice tests, or assessments.