Machine learning

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

Implements the NOWAIT technique for efficient reasoning in R1-style LLMs.

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

Machine learning in Python with scikit-learn.

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

Drizzle ORM conventions and best practices for TypeScript projects.

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…

Bayesian modeling with PyMC.

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…

Grounds answers about GenAI/LLM/agentic AI security in the OWASP GenAI Security Project's published research -- the LLM Top 10, the Agentic Top 10, Data…

Import a source folder into a knowledge-first skill by analyzing the folder with LLM assistance and generating SKILL.md plus skill.json.

This skill should be used when the user asks to review, referee, or critique an ML/AI paper for an A* venue or laboratory pre-review.

Use when auditing a codebase for semantic duplication - functions that do the same thing but have different names or implementations.

THE single skill to publish profitable, rejection-proof skills to the Capafy marketplace end-to-end, verification-baked.

Save and retrieve memories or embeddings via the repo helpers or API.

Generate PPTX decks on Windows using bash and Python.

Use when implementing GPT chat, streaming, function calling, embeddings for RAG, images, audio or batch jobs, or troubleshooting 429 rate limits and API or…

Use when tasks need optional PyCaret model training, ML factor generation, inference wrappers, feature importance, or sparse LASSO weight generation.

Show AI/LLM spending, budget usage, and operational cost metrics.