Model Evaluation

Learn the agentic-engineering skill for eval-first execution, task decomposition, model routing, and safer workflow automation with regression checks.

prompt-governance is a Claude skill for managing production prompts as versioned, reviewed, tested assets. Use it to plan prompt registries, regression tests, A/B experiments, eval pipelines, release approvals, and rollback workflows for AI features.

senior-prompt-engineer is a model-agnostic Prompt Writing skill for eval-driven prompt optimization, RAG quality checks, agent workflow validation, and token/cost budgeting. Includes references plus Python tools for prompt analysis, RAG metrics, and agent orchestration.

senior-data-scientist is a Claude skill for A/B test design, causal reasoning, feature engineering, and tabular ML evaluation. Use it to guide sample sizing, metric choice, leakage checks, SHAP review, and MLflow-style tracking; scripts are scaffold templates, not complete engines.

llm-patterns helps you design AI-first application logic where LLMs handle reasoning, extraction, and generation while code handles validation, routing, and error handling. Use the llm-patterns skill for clearer prompt structure, testable LLM workflows, and practical guidance for Skill Authoring.