This skill guides you through rigorous experiment design from hypothesis to analysis plan. You'll compute the statistical power needed for your tests, identify confounding variables to control for, design optimal randomization strategies, and generate pre-registered analysis plans that prevent p-hacking and publication bias. Whether you're running a product A/B test or investigating causal effects in observational data, you get structured, validated designs that account for real-world constraints.

by moonwell-fi

This skill transforms high-level feature requests into actionable implementation plans by conducting deep requirement interviews, analyzing existing codebases (or planning greenfield projects), and producing comprehensive handoff documents. It distinguishes between brownfield development (with existing code to integrate) and greenfield projects (starting from scratch), ensuring your technical strategy accounts for your actual constraints and patterns.

by moonwell-fi

This skill helps you systematically diagnose failures in distributed ML training and serving infrastructure. You provide system logs, metrics, and error traces, and Claude performs structured root-cause analysis to identify the underlying issue—whether it's resource exhaustion, distributed system deadlock, data pipeline corruption, or model serving misconfiguration. You get a detailed diagnosis with remediation steps ranked by likelihood and implementation effort.

by moonwell-fi

Systematically evaluate your Claude prompts using quantitative scoring frameworks to identify weaknesses in clarity, task alignment, and output quality. You'll receive detailed optimization recommendations with A/B testing guidance to improve prompt effectiveness and consistency across different use cases and input variations.

by moonwell-fi

You can rapidly compile, organize, and format disparate health economic evidence—from clinical trials to cost-effectiveness analyses—into structured, regulatory-compliant dossiers. This skill maps your evidence to specific payer and HTA requirements, automatically generates evidence hierarchies, and produces submission-ready dossier outlines with formatting that meets regulatory standards for NICE, EUnetHTA, and other major bodies.

by moonwell-fi

Claude guides you through a structured framework for evaluating statistical models, testing key assumptions, and documenting your methodology in reproducible format. You'll get clear decision criteria for choosing among candidate models, verification checklists for critical assumptions, and templates for documenting your analytical process so others can understand and replicate your results.

by moonwell-fi

You can systematically diagnose why your RAG system isn't returning relevant results and identify specific misalignments between queries and context. This skill walks you through analyzing retrieval quality, scoring context relevance, and optimizing prompt-retrieval alignment to improve your RAG accuracy. You'll get concrete, actionable recommendations for fixing bottlenecks in your pipeline.

by moonwell-fi

You can confidently navigate complex statistical analyses by working through structured workflows that match your research question and data type to the right test. The skill guides you through assumption validation, helps you interpret results accurately without common pitfalls, and walks you through regression diagnostics with full transparency about what your findings actually mean.

by moonwell-fi