Machine learning

Deterministic mathematical computation using SymPy.

Detects and prevents data leakage in machine learning and mathematical modeling.

Venue formatting for an ML paper: official style files, starting from a conference template, converting a submission between venues, and the page and margin…

Computational pathology toolkit for analyzing whole-slide images (WSI) and multiparametric imaging data.

Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data.

World-class computer vision skill for image/video processing, object detection, segmentation, and visual AI systems.

World-class ML engineering skill for productionizing ML models, MLOps, and building scalable ML systems.

World-class prompt engineering skill for LLM optimization, prompt patterns, structured outputs, and AI product development.

Enforces structured, highly documented storage for code and data projects.

Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM.

Designs complex generic types, refactors `any` types to strict alternatives, creates type guards and utility types, and resolves TypeScript compiler errors.

Build and run production workloads on Amazon Bedrock with current model availability, Converse API, agents, guardrails, AgentCore, and IAM controls.

Use for "interrogate", "adversarial review", "multi-model review", "challenge this", "stress test this code", "find blind spots", or "tear this apart".

Apply source-aware mechanical-engineering judgment to research, analysis, coding, writing, teaching, research identity, and release work.

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

Build DeepStream GStreamer pipelines interactively.

Investigate outliers, rare events, spikes, and suspicious records in datasets.

Evaluate trained machine learning models with the right metrics and comparison logic.

Explain trained machine learning models through feature attribution, local explanations, and behavior summaries.

Design and implement repeatable preprocessing pipelines for cleaning, encoding, transforming, and validating ML input data.

Deep learning framework (PyTorch Lightning).

Split datasets into training, validation, and test partitions with the right stratification and temporal rules.

Graph-based drug discovery toolkit.

Hierarchy → 精簡結構化文字匯出工具（HierarchyTextExporter）。當需要：(1) 讓 LLM 用最少 token 讀懂 Unity GameObject 階層與 Component serialized 欄位 (2) 匯出 prefab 或 scene 子樹成精簡文字（uloop…