Machine learning

Detect MITRE ATLAS AML.T0024 attacks (model stealing, inversion, membership inference) performed via inference-API abuse, by monitoring per-principal query…

Extract edge hints from daily market observations and news reactions, with optional LLM ideation, and output canonical hints.yaml for downstream concept…

Search traceable academic papers, download legally accessible PDFs from arXiv and open-access sources, convert PDFs or page images to Markdown with a…

用 Playwright 从深知晓、深知晓（深度溯源）、豆包、腾讯元宝、DeepSeek 和通义千问网页端无损采集完整回答、原始引用、引用标记和现场存证。用于 Fact-Check-X 的原始答案采集阶段，或任何需要比较多个 AI 网页回答与参考来源的任务。

First-principles ML: classical methods, optimization, Gaussian processes, deep learning, probabilistic inference, generative models, RL.

Use when the user wants to test, compare, or choose local Ollama models for their machine.

Answer Engine Optimization (AEO): optimize content to be cited by LLMs (ChatGPT, Claude, Perplexity, Gemini) in their answers.

Context management engine for AI coding agents.

Data science across machine learning, statistical modeling, and experimentation.

MLOps across model deployment, ML pipelines, monitoring, and feature stores.

Design RAG pipelines: chunking, retrieval evaluation, and architecture.

Computer vision engineering for object detection, segmentation, and visual AI, covering CNN and Vision Transformer architectures and ONNX/TensorRT deployment.

Prompt engineering and LLM evaluation.

ML engineering skill for productionizing models, building MLOps pipelines, and integrating LLMs.

This skill should be used when a user reports an issue with OpenHands Enterprise (OHE) on a self-hosted (Replicated VM-based) installation.

Wire an application to heylook (heylookitsanllm), a local multimodal LLM server on Apple Silicon serving MLX and gguf models over one Anthropic…

Parse, typeset, explain, and evaluate research-paper equations, notation, symbols, derivations, losses, objectives, tensor shapes, assumptions, and…

Threadlight evals leg: offline batch quality, Foundry Continuous Evaluation and champion-challenger gates.

Collect and compare numerical results across hardware and software stacks for inference, SFT (full/LoRA) and RL.

Guided workflow for taking any ML codebase — including one with no experiment tracking at all, or one full of MLflow 2-era idioms — to a production-grade…

用于诊断、评审或评分整份简历。当用户要求「诊断简历」「简历有什么问题」「看看简历哪里要改」「简历打分」「评审简历」「resume review」，或上传 PDF/DOCX 并要求分析问题、给出评分或修改建议时触发。输出 3 类诊断（NO_DATA / NO_FILL / DESCRIPTION_SUGGEST）和…

Solve KCTF model backdoors and small linear/ReLU crackmes from raw weights.

Build, review, or harden AI agents, LLM apps, RAG, tool-calling, coding agents, and agentic workflows with secure-by-default controls.

Use when comparing basic, enhanced, GraphRAG, or agentic RAG designs, evaluating domain-specific RAG quality, tuning retrieval components, or deciding whether…