whet

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  sharpen your AI coder

Install expert skills into AI coding agents. Works with Claude Code, Google Antigravity, Cursor, and GitHub Copilot.

Quick Start

# One-shot (no install needed)
uvx whet list

# Or install permanently
uv tool install whet

# Install all skills to Claude Code
whet install --global

# Add specific skills to your project
whet add pytorch-lightning wandb hydra-config

# Scaffold a new project
whet init pytorch-training-project

What is whet?

whet is a CLI tool that installs curated expert skill definitions into AI coding agents. Each skill is a focused knowledge module (300-600 lines of expert guidance) that teaches your AI coder how to use a specific tool or pattern correctly.

Flagship Collection: CV/ML

• 30 Skills — PyTorch Lightning, Pydantic, Docker, ONNX, TensorRT, OpenCV, FastAPI, Hugging Face, AWS SageMaker, Gradio, Kubernetes, and more
• 6 Agents — Expert Coder, ML Engineer, DevOps/Infra, Data Engineer, Code Review, Test Engineer
• 6+ Archetypes — Training pipelines, inference services, notebooks, packages

Multi-Platform

Platform	Status	Skill Format
Claude Code	Native	SKILL.md (direct copy)
Google Antigravity	Native	SKILL.md (direct copy)
Cursor	Adapted	.md rules (converted)
GitHub Copilot	Adapted	Single aggregated file

Commands

whet                              # Show banner + help
whet add <skill> [<skill>...]     # Add skill(s) to current project
whet remove <skill>               # Remove a skill
whet install [--global|--local]   # Install full skill collection
whet list [--installed] [--cat]   # Browse available skills
whet search <query>               # Search by name/tag/description
whet info <skill>                 # Show skill details + deps
whet target <platform>            # Set default platform
whet doctor                       # Health check
whet config [key] [value]         # Get/set configuration

How It Works

Skills follow the universal SKILL.md standard — YAML frontmatter for discovery, markdown content for the LLM:

---
name: pytorch-lightning
description: >
  PyTorch Lightning training pipeline patterns.
---

# PyTorch Lightning Skill
(300-600 lines of expert guidance...)

When you run whet add pytorch-lightning, whet copies the skill to your platform's skill directory (e.g., .claude/skills/). The AI agent automatically discovers and uses the skill based on your project context.

Development

# Clone and install
git clone https://github.com/ortizeg/whet.git
cd whet
uv sync --all-extras

# Run checks
just test
just lint
just typecheck

Contributing

Contributions welcome! See CLAUDE.md for how to add new skills, agents, or archetypes.

License

MIT License — see LICENSE file.

Author

Enrique G. Ortiz (@ortizeg)