// Guide for using and supporting the AGENTS.md standard in VS Code. Use this when asked about AGENTS.md, custom instructions, or repo-level AI agent configuration.
Master SOTA data prep for Kaggle comps: automated EDA (Sweetviz), cleaning (Pyjanitor), and feature selection (Polars + XGBoost) for medium datasets (100MB–5GB) in Colab.
Use this skill to create new Agent Skills for GitHub Copilot. It guides you through the process of setting up the directory structure and the SKILL.md file.
Use this skill for systematic problem-solving through structured, iterative thinking. Break down complex problems, iterate on understanding, catch edge cases, and validate solutions comprehensively.
| name | agents-md-guide |
| description | Guide for using and supporting the AGENTS.md standard in VS Code. Use this when asked about AGENTS.md, custom instructions, or repo-level AI agent configuration. |
This skill provides guidance on implementing and using the AGENTS.md standard to provide custom instructions for AI coding agents in VS Code.
.cursorrules.AGENTS.md acts as a centralized instruction manual for AI coding agents at the repo root.
AGENTS.md → parses sections → applies rules during tasks → outputs aligned code.To enable AGENTS.md support in VS Code:
chat.useAgentsMdFile to true.chat.useNestedAgentsMdFiles to true for subfolder instructions.AGENTS.md at the root of your repository.## Environment: Setup and build instructions.## Coding Style: Linting, formatting, and architectural rules.## Testing: How to run and write tests.AGENTS.md; ensure chat.useAgentsMdFile is enabled in VS Code.AGENTS.md in a test repo and iterate on sections.