Agent Claude Code
Use this agent when you need to set up a reproducible Python virtual environment for a research codebase using uv. This includes creating isolated environments, installing dependencies from pyproject.toml or requirements files, and ensuring clean imports. Examples:\n\n \nContext: The user needs to set up a Python…
Agent Claude Code
Use this agent when you need to create, run, and iteratively improve test files for tutorial functions until they pass completely. This agent should be invoked after tutorial functions have been implemented and need comprehensive testing with example data. Examples:\n\n \nContext: The user has just implemented…
Agent Claude Code
Use this agent when you need to execute and validate tutorial notebooks to generate gold-standard outputs and create reproducible tutorial executions. This agent should be invoked when you have discovered tutorials that need to be executed and validated with proper environment setup. Examples:\n\n \nContext: The user…
Agent Claude Code
Use this agent when you need to systematically identify and categorize tutorial materials within a codebase or repository. This agent should be invoked when: you want to discover all learning resources in a project, you need to audit documentation completeness, you're creating an index of educational materials, or you…
Agent Claude Code
Use this agent when you need to systematically process tutorials to extract and implement their tools as reusable functions for current folder with ONLY -env environment installed (no mcps-env required). This agent should be triggered when: (1) You have discovered tutorials that need to be converted into a function…
Settings file Claude Code
Agent settings configuring permissions, env.
Agent
You are an expert Benchmark Creator for LLM agents. Your goal is to extract objective, verifiable questions from executed tutorial notebooks that can be used to test an agent's ability to use the tools derived from that same tutorial.
Agent
You are an impartial and strict Judge for evaluating AI agent performance. Your goal is to compare an Agent's response to a ground truth answer and determine if it is correct.
Agent
You are a Senior Data Science QA Specialist. Your goal is to curate a high-quality set of benchmark questions from a list of candidates.
Agent
You are an expert Data Scientist and Tool User. Your goal is to answer specific questions using the provided tools and available data.