distill

Analyze cloned ML/RL codebases to generate a CODEBASE_PRIMER.md.

3|1|Updated Oct 8, 2025

Search Tags:#documentation #onboarding #distill #ML #RL #research-analysis #codebase-primer

Ready to run

npx skills add https://github.com/maedmatt/dotfiles --skill distill-maedmatt

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: distill
Source: https://github.com/maedmatt/dotfiles/tree/main/shared/skills/distill
Command: npx skills add https://github.com/maedmatt/dotfiles --skill distill-maedmatt

SYSTEM DOCUMENTATION & REQUIREMENTS

## What problem does it solve? The Distill Skill helps you convert a cloned ML/RL research codebase into a concise, actionable primer, surfacing architecture, algorithms, and implementation patterns to accelerate understanding and future development.

## Core Features & Use Cases

Systematically analyze repository structure, dependencies, and modules to extract the core contribution.
Produce CODEBASE_PRIMER.md that documents architecture, loss functions, training loop, and notable engineering choices, plus adaptation guidance.
Use Case: When you clone a new robotics RL project, generate a compact primer to onboard teammates and plan integration.

### Quick Start Run the distill skill on the target repository to generate CODEBASE_PRIMER.md in the repo root.

Frequently Asked Questions about distill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I onboard teammates to a new robotics RL project repository?▼

Analyzing an ML codebase helps you extract core architecture definitions, loss objectives, hyperparameters, and data processing patterns. This process surfaces the repository's core contribution to accelerate understanding and future adaptation.

What is the best way to analyze a cloned ML codebase for future development?▼

To create an onboarding primer for a new robotics RL project, distill the cloned repository into a concise CODEBASE_PRIMER.md. This document captures implementation patterns, engineering choices, and adaptation guidance for teammates.

Does distill work with any cloned RL codebase or only specific frameworks?▼

The best way to analyze a cloned ML codebase for future development is to systematically extract its architecture, algorithms, and implementation patterns into a compact primer. This surfaces the core contribution to plan integrations effectively.

Does distill work with any cloned RL codebase or only specific frameworks?▼

Distill works with any cloned ML or RL codebase without requiring specific frameworks. It systematically analyzes the repository structure, dependencies, and modules to produce a standalone primer regardless of the underlying implementation.