You'll systematically diagnose data quality problems by developing structured root cause analysis frameworks, calculating the true business impact, and creating reproducible validation tests. This skill walks you through hypothesis-driven investigation, data lineage analysis, and remediation planning — turning data issues into documented fixes and preventive measures.

by moonwell-fi

You'll build comprehensive data quality test suites that validate transformations, detect anomalies, and document standards across your dbt and SQL pipelines. This skill generates production-ready test configurations, anomaly detection protocols, and validation rules that catch data issues before they impact analytics.

by moonwell-fi

You can design multi-dimensional evaluation strategies tailored to your model's specific capabilities and use cases, create representative test sets that expose edge cases and failure modes, implement automated scoring mechanisms for reproducible results, and generate benchmark comparison reports that contextualize performance within industry standards. This skill transforms ad-hoc testing into systematic, evidence-based model assessment—essential for production deployment decisions and ongoing performance monitoring.

by moonwell-fi

You can convert complex datasets and business metrics into polished, executive-ready reports that stakeholders trust and act on. Claude generates data-driven narratives, executive summaries, actionable insights, and visualization recommendations tailored to your audience's priorities. Your reports will tell a cohesive story that connects metrics to business outcomes, eliminating confusion and accelerating decision-making.

by moonwell-fi

This skill walks you through the complete dataset preparation workflow for fine-tuning Claude models. You'll validate training data quality, detect and fix formatting errors, identify data imbalances, and generate validation reports to ensure your fine-tuned model performs reliably in production.

by moonwell-fi

This skill provides a systematic framework for preparing training data, benchmarking model performance, identifying deployment risks, and calculating true ROI before committing fine-tuning investments. You'll validate datasets, run structured evaluations against baseline Claude models, test edge cases, and iterate toward production-ready fine-tuned versions. The framework ensures your fine-tuned models deliver meaningful improvements while maintaining safety and cost-effectiveness.

by moonwell-fi

Diagnose root causes of model performance failures, select optimal evaluation metrics based on your use case and data characteristics, and design comprehensive evaluation strategies. You'll get systematic workflows for analyzing failure modes, statistical significance testing, threshold optimization, and cross-validation planning—turning vague model problems into actionable fixes.

by moonwell-fi

You can build production-grade vector search systems that retrieve semantically similar documents in sub-millisecond time using AgentDB's optimized HNSW indexing. The skill enables you to implement RAG pipelines, semantic search engines, and intelligent knowledge bases with configurable embedding dimensions, distance metrics (cosine, Euclidean, dot product), and similarity thresholds—all with built-in quantization and caching for massive performance gains.

by moonwell-fi