Academic
261 skills in Research > Academic
valyu-search
Complete Valyu API toolkit with Search, Answer, Contents extraction, and DeepResearch. Use for web/academic/financial search, AI-powered answers, content extraction from URLs, and async deep research reports. Supports syntax like "Valyu(command, args)" for search, answer, contents, and deepresearch operations.
memory-manager
Auto-updates Vee's learnings and preferences from conversations
docx
Comprehensive Word document toolkit for reading, creating, and editing .docx files. Supports text extraction, document creation with python-docx, and tracked changes via redlining workflow. Use for legal, academic, or professional document manipulation.
microsim-p5
Create an interactive educational MicroSim using the p5.js JavaScript library with distinct regions for drawing and interactive controls. Each MicroSim is a directory located in the /docs/sims folder. It has a main.html file that references the javascript code and the main.html can be referenced as an iframe from the index.md. The metadata.json contains Dublin core metadata about the MicroSim.
writing
Comprehensive writing guidance for professional documents across legal, academic, executive, and business contexts. Use when drafting, editing, or revising any document where quality prose matters: briefs, memos, law review articles, reports, client letters, contracts, executive summaries, presentations. Provides style selection, cognitive fluency techniques, structure frameworks, concision patterns, and revision checklists. Invoke when users ask to write, edit, revise, or improve documents.
video-coder
Expert React video scene component creator for educational content. Builds production-grade, visually distinctive components using framer-motion animations, pixel-precise positioning, and optimized performance patterns. Follows strict component format with React.memo, threshold-based state updates, and module-level definitions. Outputs self-contained TSX components with proper timing sync, 60fps performance, and comprehensive reference-based implementation.
parallel-search
Comprehensive web research via Parallel Search API. Use when user requests parallel search for deep multi-source research, technical analysis, learning new topics, current events, or comparative studies. Returns LLM-ready ranked URLs with extended excerpts (up to 30K chars). Single API call handles multiple query angles with automatic deduplication.
mnemonic-researcher
CRITICAL AUTOMATION: Automatically researches PROVEN medical mnemonics during study guide creation.ACTIVATES when creating study guides and mnemonics are mentioned. Launches the medical-mnemonic-researcheragent to find established USMLE mnemonics from medical education sources.NEVER invents mnemonics - only finds ones that already exist and are validated by medical students.
research-methodology
This skill should be used when the user asks about "how to research", "research best practices", "evaluate sources", "source credibility", "academic research", "find reliable information", "cite sources", "research methodology", or needs guidance on conducting thorough web research and evaluating information quality.
recommendation-letters
Generate high-quality recommendation letters for graduate school (MS/PhD), academic positions (faculty/postdoc), and industry/government/NGO roles. Uses template-based approach with context-aware customization. USE WHEN user says 'write recommendation letter', 'letter of recommendation', 'reference letter', or requests academic/professional recommendations.
education-verification
Verify educational credentials, degrees, and academic history
ml-reviewer
WHEN: Machine Learning/Deep Learning code review, PyTorch/TensorFlow patterns, Model training optimization, MLOps checksWHAT: Model architecture review + Training patterns + Data pipeline checks + GPU optimization + Experiment trackingWHEN NOT: Data analysis only → python-data-reviewer, General Python → python-reviewer
career-advisor
Career Advisor agent for PhD application planning and career management. Helps with university research, application tracking, professor matching, and career documentation.
research-questions
Formulate research questions using FINER criteria (Feasible, Interesting, Novel, Ethical, Relevant). Use when: (1) Starting new research projects, (2) Refining study scope, (3) Grant proposal development, (4) Ensuring research question quality.
learning-path-patterns
Comprehensive guide to Learning Path patterns for the Plataforma B2B de treinamento técnico corporativo educational platform. This skill covers the conceptual difference between Study Areas (courses) and Proposed Paths (sequences of courses), data modeling, UI/UX patterns, and implementation guidelines.Learn how to structure Learning Paths correctly: a Proposed Path is NOT a container of loose flashcards, but a curated sequence of Study Areas (courses). Each path references existing courses with metadata like order, availability status, and estimated hours.Real-world examples are taken from the Hub MVP implementation (US-044), including caminhoExemploData.js, HubView.jsx, and LearningPathView.jsx. The skill demonstrates the reference pattern used for "Desenvolvedor Backend" path that sequences Bash, Linux, Docker, and DevOps courses.Key topics include data schema design (cursos array with ordem, areaId, disponivel flags), computed properties (getters for statistics), navigation patterns (path -> course
learning-design-review
Review educational content against the Four Learning Design Pillars framework. Use when users want to evaluate course materials, lessons, tutorials, e-learning modules, or any instructional content for alignment with evidence-based learning design principles. Provides structured feedback with specific principle references (e.g., 1.1.1, 2.3.4) and actionable recommendations.
hello-world
A simple example skill that demonstrates the basic structure of a Claude Skill, including scripts, references, and best practices. Use this as a learning template when creating new skills.
study
Persona-based collaborative research tool with intelligent role-based orchestration and conversation threading
fetching-library-docs
Token-efficient library API documentation fetcher using Context7 MCP with 77% token savings.Fetches code examples, API references, and usage patterns for published libraries (React,Next.js, Prisma, etc). Use when users ask "how do I use X library", need code examples,want API syntax, or are learning a framework's official API. Triggers: "Show me React hooks","Prisma query syntax", "Next.js routing API". NOT for exploring repo internals/source code(use researching-with-deepwiki) or local files.
paper-writing
Expert guidance for writing high-quality academic and research papers. Use when the user wants to write, structure, revise, or improve academic papers, research articles, conference papers, or technical reports. Provides comprehensive support for all stages from planning to final polish.