Machine learning

Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help.

Build and run evals for LLM and agent systems: golden datasets, LLM-as-a-judge with bias control, trajectory/step/outcome scoring, adversarial refuters, and…

This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs…

Deterministic mathematical computation using SymPy.

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.

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

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.

Use when the user wants to optimize configurable system parameters against a measurable scalar objective, especially for model training, inference…

Scan source files (Python, C/C++, TypeScript, Rust) and generate semantic logic index via LLM.

Debug live Azure Kubernetes Service (AKS) incidents with a read-only, evidence-first investigation.

Research on the open web, in feeds and in notebooks: pick the method that fits the question — pulse for what people say right now, deep-research for a…

免費公開揭露資料偵察員(付費資料庫的免費對應+事件研究的事件源)。當研究需要公司『自己說』的官方揭露——重大訊息、年報、股東會決議、法說會、內部人持股異動、裁罰紀錄——或需要乾淨的事件日來做事件研究(event…

研究架構圖（概念模型圖）產生器。把研究假說畫成投稿與口試等級的架構圖：中介模型 X→M→Y、調節模型、被調節的中介、序列中介，以及台灣商管論文最常用的『中介＋雙控制變數框』版式（每個依變數各一組控制變數，以虛線彎箭頭接入）。輸入一份 JSON 規格，輸出可再編輯的向量圖：SVG（零依賴、可用…

空間與地理資料分析架構師(區域研究 / hedonic 房價 / 不動產實證)。把帶有地址或經緯度的資料變成可分析、可畫圖、可發表的空間研究資料集。核心能力:(1)LLM 輔助地理編碼＋驗證退路——地址轉座標後,用行政區界/中心點/白名單比對抓出離群與幻覺,絕不讓 AI 亂猜的座標進資料;(2)H3…

Improve AI application with evaluation-driven development.

Writing and changing code: Ponytail simplicity, grounded style rules, local and feature-wide systematic debugging, completion verification, architecture…

Authorized offensive and defensive security assessments, one router over per-surface playbooks: API, cloud/K8s, code audit & SAST review, database, digital…