Machine learning

Extracts reusable ML techniques, code patterns, and feature engineering ideas from Kaggle competition winning solutions and maps where they apply.

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

Compare two versions of an LLM-directed document - an original (teacher) and a candidate (student) - across a transfer set and return a per-case…

Make an LLM-directed document smaller while preserving what it does.

Build RAG / unstructured-document evaluation datasets and demo documents (e.g.

Databricks Vector Search endpoints and indexes for RAG and semantic search; covers index types, search modes, end-to-end RAG patterns

Onboards users to MLflow by determining their use case (GenAI agents/apps or traditional ML/deep learning) and guiding them through relevant quickstart…

Investigate training failures, NaNs, missing gradients, misleading losses, and non-reproducible runs in PyTorch, Lightning, or TensorFlow/Keras.

Azure Machine Learning SDK v2 for Python.

Search and extract Cypress information from official documentation (docs.cypress.io, cypress.io); prefer LLM markdown under /llm/* and refuse unverified API…

Protocol-level facts for Roboflow REST and Inference APIs — URL patterns, auth, parameters, error codes, and SDK quick-start.

Deployment option comparison (serverless, dedicated, self-hosted, batch) and Workflow execution patterns.

Designs AI-powered API features, LLM tool/function definitions, MCP server tool schemas, natural language to API conversion, and agentic API workflows.

Infer and list REST API endpoints from file names or project directory structures.

Master context engineering for AI agent systems.

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…

Connects to and performs inference with Google Cloud Agent Platform GenAI models, including First-Party Gemini models and Third-Party OpenMaaS models (Llama…

The LLM as consistency maintainer and orchestrator

PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading.

Unified biological database evidence owner.

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

High-performance toolkit for genomic interval analysis in Rust with Python bindings.

Structured hypothesis formulation from observations.