Security operations require consistent assessment and compliance validation across projects. This skill provides automated tools for security scanning, vulnerability assessment, and compliance checking with standardized reporting.

Manual test creation and inconsistent coverage leave bugs undetected. This skill provides automated test suite generation, coverage analysis, and E2E testing scaffolding for consistent quality assurance across React, Next.js, and Node.js projects.

Creating effective prompts for large language models requires deep expertise in patterns, frameworks, and optimization techniques. This skill provides production-ready prompt engineering strategies for Claude, GPT-4, and other LLMs, including structured outputs, chain-of-thought reasoning, and agentic system design.

Building and deploying ML systems to production requires deep expertise in MLOps, model monitoring, and scalable infrastructure. This skill provides world-class guidance for productionizing ML models, implementing RAG systems, and integrating LLMs into production workflows.

Building fullstack web applications requires deep knowledge of many technologies and patterns. This skill provides scaffolding tools, code quality analysis, and architecture guidance for React, Next.js, Node.js, GraphQL, and PostgreSQL projects.

Building complex frontend applications requires deep expertise in React patterns, performance optimization, and state management. This skill provides senior-level guidance for component architecture, bundle optimization, and implementing production-ready UI systems using industry best practices.

Setting up CI/CD pipelines and managing cloud infrastructure requires deep expertise across multiple platforms. This skill provides templates, patterns, and automation scripts for Docker, Kubernetes, Terraform, and major cloud providers.

Design experiments, build predictive models, and drive data-driven decisions with expert-level data science techniques. This skill provides production-grade frameworks for statistical analysis, feature engineering, and model evaluation.

Design and implement production-grade data pipelines with senior-level expertise. Transform raw data into reliable, scalable analytics infrastructure using Python, SQL, Spark, and modern data stack tools.

Computer vision projects require deep expertise in architectures, optimization, and deployment. This skill provides senior-level guidance for building object detection, segmentation, and real-time vision systems with production best practices.

Backend development requires expertise in APIs, databases, security, and scalable architecture. This skill provides senior-level guidance for building robust server-side applications with industry best practices.

Designing complex software systems requires deep expertise across many technologies and patterns. This skill provides a complete toolkit for architecture design including diagram generation, pattern guidance, tech stack decisions, and dependency analysis for modern applications.

An AI skill for Claude, Codex, and Claude Code

Seaborn provides complex statistical visualizations with minimal code. This skill helps you create publication-quality charts for exploratory data analysis and presentation.

Single-cell genomics analysis requires specialized probabilistic models for dimensionality reduction, batch correction, and integration across diverse modalities. scvi-tools provides deep generative models built on PyTorch for comprehensive single-cell data analysis.

Time-to-event analysis requires specialized methods for censored data. This skill provides complete guidance on fitting Cox models, Random Survival Forests, and Survival SVMs while properly evaluating predictions with concordance index and Brier score.

Build machine learning models quickly with scikit-learn guidance. Covers classification, regression, clustering, preprocessing, pipelines, and model evaluation with ready-to-use examples.

Biological research requires specialized tools for DNA sequence analysis, phylogenetic trees, and diversity metrics. This skill provides guidance for using scikit-bio to process sequences, calculate alpha and beta diversity, and perform statistical tests on microbiome data.

Researchers struggle to format scientific papers according to journal requirements and academic conventions. This skill provides structured guidance for writing manuscripts using IMRAD format, proper citation styles, and compliance with reporting guidelines for successful journal submissions.

Scientists spend hours formatting figures for journal submission. This skill provides pre-configured matplotlib styles, colorblind-friendly palettes, and automated export tools to create professional figures in minutes instead of hours.