davila7

Predict molecular properties, generate new compounds, and analyze proteins using TorchDrug ML library. Train graph neural networks on molecules, proteins, and biomedical knowledge graphs for drug discovery and computational chemistry tasks.

Writing tests after code passes immediately and proves nothing. Test-first forces you to see the test fail, proving it actually tests the right behavior. TDD catches bugs before they reach production and enables confident refactoring.

Random fixes waste time and create new bugs. This skill provides a four-phase framework to systematically investigate issues, trace problems to their source, and implement fixes that actually resolve the underlying cause rather than masking symptoms.

This template provides a starting point for creating custom Claude skills. It includes placeholder sections for skill name, description, and instructions that you can customize for your specific use case.

Need exact mathematical results instead of numerical approximations. This skill provides comprehensive guidance for symbolic computation using SymPy including algebra, calculus, matrices, physics, and code generation. Perfect for engineers, scientists, and researchers who need precise symbolic solutions.

Managing multiple subagents manually creates context pollution and inconsistent quality. This skill dispatches fresh subagents per task with automated two-stage review checkpoints, ensuring spec compliance before code quality review.

Access protein-protein interaction networks from STRING database covering 59M proteins and 20B interactions. Perform functional enrichment analysis, discover interaction partners, and generate network visualizations for systems biology research.

Users need to analyze data with rigorous statistical methods. This skill provides comprehensive guidance for regression models, hypothesis testing, time series analysis, and diagnostic procedures.

Statistical analysis skills are essential for research but require proper methodology. This toolkit provides comprehensive guidance on hypothesis testing, regression, Bayesian methods, and APA reporting to help researchers conduct rigorous, reproducible analyses.

Reinforcement learning requires deep expertise in algorithms, environments, and training workflows. This skill provides ready-to-use templates and guides for Stable Baselines3 so you can quickly train RL agents without learning all the details upfront.

Create animated GIFs that meet Slack size limits. Build animations with composable primitives like shake, bounce, spin, pulse, fade, zoom, and explode. Validates file size and dimensions for emoji and message GIFs.

Teams waste time manually sharing newly created skills with colleagues. This skill automates skill creation with proper structure and instantly notifies your team on Slack through Rube integration.

Managing and installing Codex skills manually can be time-consuming and error-prone. This skill automates the installation process, allowing you to browse curated skill collections and install skills directly from GitHub repositories with a simple command.

Building effective AI skills requires understanding progressive disclosure and proper documentation structure. This skill teaches you how to create modular skills that load efficiently and trigger at the right time.

Creating effective skills requires understanding domain workflows, reusable resources, and structured documentation. This skill provides a complete framework for designing, scaffolding, and packaging skills that extend Claude with specialized capabilities.

Complex systems with queues and shared resources are difficult to analyze without simulation. SimPy provides a Python-based framework for modeling processes, resources, and time-based events to predict system behavior before implementation.

Machine learning models often work as black boxes. SHAP provides a unified framework to understand which features drive predictions and how much each feature contributes. This skill helps you compute feature importance, generate visualizations, debug models, and implement explainable AI in your projects.

Poor search visibility limits organic traffic and growth. This skill provides comprehensive guidance on keyword research, on-page optimization, technical SEO, and Core Web Vitals to improve search rankings and drive organic traffic.

Security teams need systematic approaches to identify vulnerabilities, design secure architectures, and validate defenses. This skill provides automated tooling for threat modeling, penetration testing workflows, and security architecture reviews with best practice guidance.

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.