數據科學

ISO/IEC 25010 quality model for software product quality characteristics

This skill applies Edward Tufte's data visualization principles from "The Visual Display of Quantitative Information" to create high-impact slides. Use when designing presentations, creating charts/graphs, reviewing slides for clarity, or transforming data into visual displays. Triggers on phrases like "make a slide", "create presentation", "design chart", "visualize data", "review my slides", or "make this more impactful".

Create author profiles via questionnaire or transcript analysis for consistent article voice

Use when creating Mermaid diagrams - covers flowcharts, sequence diagrams, and AST visualization

NetworkSim provides provider network intelligence using real NPPES data (8.9M providers). Use this skill for ANY request involving: (1) provider search by specialty or location, (2) facility search (hospitals, nursing homes, clinics), (3) NPI validation, (4) network adequacy assessment against CMS/NCQA standards, (5) healthcare desert identification, (6) provider density analysis, (7) network roster generation, (8) hospital or physician quality metrics, (9) cross-product provider assignment, (10) pharmacy network analysis.

Generate architecture overview documentation from codebase analysis. Uses tree-sitter-analyzer for precise code structure extraction. Generates Mermaid diagrams for visual representation. Triggers: architecture overview, project structure, module diagram, dependency graph, code structure, directory structure.

Maintain high code quality through formatting, linting, and static analysis using rustfmt, clippy, and cargo audit. Use to ensure consistent code style and catch common mistakes.

Audit an Anthropic Cookbook notebook based on a rubric. Use whenever a notebook review or audit is requested.

This skill calculates key financial ratios and metrics from financial statement data for investment analysis

Pre-PR code review for branch changes. Use when user wants to review changes before opening a PR, asks to check their branch for issues, or mentions code review. Analyzes diff against base branch for code quality, bugs, security vulnerabilities, logical fallacies, and style/convention violations. Provides detailed analysis with file:line references and improvement suggestions.

Wardley Mapping for strategic positioning and situational awareness. Covers value chain mapping, evolution stages, landscape analysis, gameplay patterns, and strategic decision-making. Use for technology strategy, competitive analysis, and architectural investment decisions.

Comprehensive code review and analysis for software quality assurance. Use when Claude needs to review code in any format including (1) Individual files (Python, R, JavaScript, etc.), (2) Directory structures and project organization, (3) Scripts and automation code, (4) Jupyter notebooks and data analysis workflows, (5) Documentation assessment and improvement suggestions, (6) Bug detection and logic verification, (7) Testing coverage and strategy evaluation, (8) Code consistency and maintainability analysis. Provides actionable improvement recommendations across all aspects of software development.

Expert guidance for JAX (Just After eXecution) - high-performance numerical computing with automatic differentiation, JIT compilation, vectorization, and GPU/TPU acceleration; includes transformations (grad, jit, vmap, pmap), sharp bits, gotchas, and differences from NumPy

Generate or edit images using AI models (FLUX, Gemini). Use for scientific illustrations, diagrams, schematics, infographics, concept visualizations, and artistic images. Supports image editing to modify existing images (change colors, add/remove elements, style transfer). Useful for figures, posters, and visual explanations.

FURPS+ model for categorizing and specifying non-functional requirements

Security intelligence for code analysis. Detects SQL injection, XSS, CSRF, authentication issues, crypto failures, and more. Actions: scan, analyze, fix, audit, check, review, secure, validate, sanitize, protect. Languages: JavaScript, TypeScript, Python, PHP, Java, Go, Ruby. Frameworks: Express, Django, Flask, Laravel, Spring, Rails. Vulnerabilities: SQL injection, XSS, CSRF, authentication bypass, authorization issues, command injection, path traversal, insecure deserialization, weak crypto, sensitive data exposure. Topics: input validation, output encoding, parameterized queries, password hashing, session management, CORS, CSP, security headers, rate limiting, dependency scanning.

Generate Mermaid diagrams with proper syntax. Use when creating flowcharts, sequence diagrams, class diagrams, or any other Mermaid visualizations. Ensures correct label quoting to prevent parsing errors.

Comprehensive guidance for using pymatgen (Python Materials Genomics) for computational materials science. Covers structure creation and manipulation, file I/O (CIF, POSCAR, XYZ), symmetry analysis, Materials Project API integration, phase diagrams, electronic structure analysis, and DFT input generation. Use when working with crystal structures, materials properties, computational chemistry calculations, or materials databases. Triggers include 'pymatgen', 'crystal structure', 'Materials Project', 'CIF file', 'POSCAR', 'band structure', 'phase diagram', or materials analysis tasks.

C4 model architecture visualization and documentation

Development: Pod container variant building and testing. Builds GPU-enableddevelopment containers (base, nvidia, jupyter, ollama, devops, githubrunner).Run from repository root with 'just build-pod'. Use when developers need tobuild or test container pods locally.