Data Science

Use when creating or editing marimo reactive Python notebooks. Covers cell structure, UI elements (mo.ui), reactivity, SQL integration, markdown, and deployment as apps. Triggers on .py notebook creation, marimo edit/run commands, reactive notebook development, or interactive data exploration. Extends python-development skill.

Master microbiome data operations across Supabase, Neo4j, Upstash Vector, and Redis. Generates comprehensive BrilliantBiome reports with BrilliantScore calculations, species analysis, AMR assessments, and population insights. Use when querying microbiome data, generating reports, analyzing taxonomic relationships, or performing similarity searches across the two-lane architecture (clinical + research).

Comprehensive gap analysis framework for identifying missing capabilities, coverage, and requirements. Use for requirements vs implementation gaps, test coverage analysis, documentation gaps, security posture assessment, performance benchmarks, feature parity analysis, team capability gaps, infrastructure coverage, compliance gaps, and accessibility analysis. Includes SWOT, maturity models, and automated gap detection.

Statistical analysis for selecting trading symbols compatible with mean-reversion/momentum strategies, GARCH risk models, and Markov regime detection

Vision and multimodal capabilities for Claude including image analysis, PDF processing, and document understanding. Activate for image input, base64 encoding, multiple images, and visual analysis.

Testing patterns including pytest, unittest, mocking, fixtures, and test-driven development with extended thinking integration. Activate for test writing, coverage analysis, TDD, hypothesis-driven development, and quality assurance tasks.

Maintain consistent code formatting, naming conventions, type safety, and automated code quality standards across PHP and TypeScript/JavaScript. Use this skill when writing or editing any PHP files (.php), TypeScript/JavaScript files (.ts, .tsx, .js, .jsx), when implementing type declarations and return types, when running code formatters (Laravel Pint, Ultracite) or linters, when running static analysis tools (Larastan), when naming variables, functions, classes, or files, when applying DRY principles, when removing dead code, or when preparing code for review or commit.

Test coverage tracking and improvement strategies. Use when analyzing test coverage.

World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions.

RAN fault detection and automated troubleshooting with cognitive consciousness, predictive failure analysis, and autonomous root cause identification. Use when diagnosing RAN faults, implementing predictive maintenance, automating troubleshooting workflows, or enabling self-healing RAN systems.

Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes, or any other presentation tasks

This skill analyzes code for design quality improvements across 8 dimensions: Naming, Object Calisthenics, Coupling & Cohesion, Immutability, Domain Integrity, Type System, Simplicity, and Performance. Ensures rigorous, evidence-based analysis by: (1) Understanding code flow first via implementation-analysis protocol, (2) Systematically evaluating each dimension with specific criteria, (3) Providing actionable findings with file:line references. Triggers when users request: code analysis, design review, refactoring opportunities, code quality assessment, architecture evaluation.

Comprehensive skill for scARCHES - Deep learning library for single-cell analysis of chromatin accessibility data. Use for scATAC-seq data processing, model training, batch correction, integration with scRNA-seq, and spatial chromatin analysis.

Automatically invoked when reviewing game simulation logs. Retrieves saved game data by ID and formats it for analysis.

CEO statement tone shift analyzer for /ceo-analysis page. Analyzes CEO quotes from SEC filings, earnings calls to detect tone changes (positive→cautious, cautious→aggressive) and finds historical similar patterns. Generates news articles when significant shifts detected.

Security audits, vulnerability analysis, and security best practices enforcement

Stock analysis UI frontend. React + TypeScript with Tailwind CSS, shadcn/ui, Recharts. Use for React components, API integration, routing, state management, styling, charts visualization.

Expert Next.js development assistant with 10+ years experience. Automatically audits, generates, and fixes Next.js applications using latest versions (Next.js 14+, React 19+, Tailwind CSS 3+). Use when working with Next.js projects for code generation, security audits, performance optimization, component creation, authentication implementation, or comprehensive project analysis. Handles Server/Client components, API routes, middleware, and ensures production-ready, secure code.

Create structured Google NotebookLM lesson plans with curated sources and tailored audio overview prompts. Use when the user wants to create a NotebookLM notebook, generate learning content with audio overviews, or build a curriculum with multiple focused segments. Handles both single lesson creation and batch processing of multiple topics.

Comprehensive data visualization skill covering visual execution and technical implementation. Includes perceptual foundations, chart selection, layout algorithms, and library guidance. Load on-demand when building charts, graphs, dashboards, or any visual data representation.