Natural language processing with spaCy. Use when: (1) named entity recognition, (2) POS tagging and dependency parsing, (3) text tokenization and linguistic analysis, (4) rule-based pattern matching, (5) custom NER pipelines. NOT for: LLM inference or text generation (use transformers), sentiment analysis at scale (use dedicated models), or machine translation.
Analyzes food science topics including nutritional composition, food chemistry, food safety hazard analysis, sensory evaluation design, and food processing optimization; trigger when users discuss nutrients, food additives, HACCP, shelf life, or food product development.
Analyzes material properties including crystal structures, phase diagrams, mechanical/thermal/electronic properties, and supports materials discovery through computational approaches; trigger when users discuss alloys, ceramics, polymers, nanomaterials, or materials characterization.
# Scientific Diagram Generation
Materials science computation with pymatgen. Use when: (1) crystal structure creation and manipulation, (2) phase diagram construction, (3) electronic structure analysis, (4) symmetry and space group operations, (5) VASP input/output parsing. NOT for: molecular chemistry (use rdkit-chemistry), protein structure (use biopython-bio), or general numerical computation (use scipy-analysis).
Natural language processing for research including text mining, sentiment analysis, topic modeling, named entity recognition, text classification, and corpus analysis. Use when user needs to analyze text data, extract information from documents, do sentiment analysis, topic modeling, or text classification for research purposes. Triggers on "text mining", "sentiment analysis", "topic modeling", "NER", "named entity", "text classification", "word embeddings", "LDA", "corpus analysis", "word frequency", "TF-IDF".
Performs signal processing tasks including spectral analysis (FFT), digital filtering, time-frequency decomposition, noise reduction, and modulation/demodulation; trigger when users discuss waveforms, frequency spectra, filters, or time series in engineering contexts.
Scientific computing and statistical analysis with SciPy, NumPy, and pandas. Use when: (1) statistical hypothesis testing, (2) optimization problems, (3) signal processing, (4) numerical integration, (5) data manipulation and analysis. NOT for: symbolic math (use sympy-math), machine learning (use sklearn directly), or visualization (use matplotlib-viz).
Mathematical computation including symbolic math, numerical methods, linear algebra, calculus, differential equations, optimization, and mathematical modeling. Uses Python with SymPy, NumPy, SciPy. Use when user asks to solve equations, compute integrals/derivatives, do matrix operations, solve ODEs/PDEs, optimize functions, or build mathematical models. Triggers on "solve equation", "integral", "derivative", "matrix", "eigenvalue", "differential equation", "optimization", "linear algebra", "symbolic math", "proof".
메모리에서 7가지 개입 기회 패턴을 감지하는 지식 베이스. 조사 제안, 스케줄링, 문서화, 초안 작성, 연결 조율, 예측적 제안, 루틴 자동화 패턴의 시그널과 점수 계산 방법.
Advanced game theory analysis for crypto protocols, DeFi mechanisms, governance systems, and strategic decision-making. Use when analyzing tokenomics, evaluating protocol incentives, predicting adversarial behavior, designing mechanisms, or understanding strategic interactions in web3.
B2B company research producing professional PDF reports. Use when asked to research a company, analyze a business, create an account profile, or generate market intelligence from a company URL. Outputs a beautifully formatted, downloadable PDF report.
This skill should be used when writing blog posts, articles, or long-form content in the writer's distinctive writing style. It produces authentic, opinionated content that matches the writer's voice—direct, conversational, and grounded in personal experience. The skill handles the complete workflow from research review through Notion publication. Use this skill for drafting blog posts, thought leadership pieces, or any writing meant to reflect the writer's perspective on AI, productivity, sales, marketing, or technology topics.
Generative Engine Optimization (GEO) for AI search visibility. Optimize content to appear in ChatGPT, Perplexity, Claude, and Google AI Overviews. Use when optimizing websites, pages, or content for LLM discoverability and citation.
Optimize content for AI citation (GEO). Use when user says "GEO", "generative engine optimization", "AI citation", "get cited by AI", "AI-friendly content", or creating content for ChatGPT/Claude/Perplexity visibility.
Summarize newsletters and articles, extract key insights, create reading lists
Personal knowledge base powered by Ensue for capturing and retrieving understanding. Use when user wants to save knowledge, recall what they know, manage their toolbox, or build on past learnings. Triggers on "save this", "remember", "what do I know about", "add to toolbox", "my notes on", "store this concept".
Free AI search via Exa MCP. Web search for news/info, code search for docs/examples from GitHub/StackOverflow, company research for business intel. No API key needed.
Search the web using Google Custom Search Engine (PSE). Use this when you need live information, documentation, or to research topics and the built-in web_search is unavailable.
