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Use when testing Ralph's hat collection presets, validating preset configurations, or auditing the preset library for bugs and UX issues.

Use when doing any dbt work - building or modifying models, debugging errors, exploring unfamiliar data sources, writing tests, or evaluating impact of changes. Use for analytics pipelines, data...

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Use when evaluating business model viability, analyzing profitability per customer/product/transaction, validating startup metrics (CAC, LTV, payback period), making pricing decisions, assessing...

A skill to help anesthesiologists risk stratify a patient according to their comorbidities and compute important perioperative variables

Universal Runtime best practices for PyTorch inference, Transformers models, and FastAPI serving. Covers device management, model loading, memory optimization, and performance tuning.

Help users make better decisions between competing options. Use when someone is weighing pros and cons, comparing alternatives, struggling with a difficult choice, deciding between speed and...

This skill should be used when the user asks to "model agent mental states", "implement BDI architecture", "create belief-desire-intention models", "transform RDF to beliefs", "build cognitive...

管理 oh-my-opencode 的 agent 和 category 模型配置。当用户需要查看当前模型配置、修改特定 agent/category 的模型、按提供商批量替换模型、或在取消/添加订阅时调整配置时使用此技能。触发关键词：oh-my-opencode 模型、agent 模型、更换模型、替换提供商、模型配置。

This skill should be used when the user asks to "create financial

This skill should be used when the user asks to "create financial

This skill should be used when the user asks to "create financial

Optimize hyperparameters using grid search, random search, Bayesian optimization, and automated ML frameworks like Optuna and Hyperopt

Analyze roster fit and personality dynamics. Leadership assessment, role clarity, locker room culture, trade/signing impact.

Best practices for scikit-learn machine learning, model development, evaluation, and deployment in Python

EvalKit is a conversational evaluation framework for AI agents that guides you through creating robust evaluations using the Strands Evals SDK. Through natural conversation, you can plan...

Quick classifier training with automatic model selection, hyperparameter tuning, and comprehensive evaluation metrics.

Analyze financial data, build models, evaluate investments, and provide data-driven financial recommendations

Use when designing prompts for LLMs, optimizing model performance, building evaluation frameworks, or implementing advanced prompting techniques like chain-of-thought, few-shot learning, or...