ML Research

by Leeroo-AI

ML Research is an AI Engineering skill for Claude Code, published by Leeroo-AI in superml.

194 stars18 forkson Leeroo-AI/supermlAdded 2026/09/05+1% in starsRepository updated 2026/03/17

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aiclaude-codecodexcoding-agent-skillscoding-agentscursor-aillmmachine-learningmlmulti-agentpluginskill

Install in seconds

Install ML Research

Copy ML Research into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/Leeroo-AI/superml/tree/main/skills/ml-research ~/.claude/skills/ml-research

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/Leeroo-AI/superml.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/ml-research/SKILL.md in Leeroo-AI/superml
Installs to: ~/.claude/skills/ml-research
Collection: One of 7 skills cataloged from this repository
Category: AI Engineering — 3101 skills

What ML Research does

ML Research helps compare ML and AI approaches using verified framework documentation and model references. Use it when you need to understand how a method works or survey framework capabilities.

ML Research is cataloged under AI Engineering on DirSkills. ML Research comes from a repository tagged ai, claude-code, codex, coding-agent-skills and coding-agents.

Documentation

README

Excerpt

ML Research

Deep-dive into ML topics using verified framework documentation, not stale training data.

Grounding

Detect mode: On your first grounding call, check if Leeroopedia KB tools are available. If they return results, use KB mode. If unavailable or auth fails, use Web mode.

CRITICAL SELF-CHECK before Phase 1: If KB auth fails, your FIRST action must be WebFetch — not text output. Do NOT write any prose, explanation, or "I know this topic" before completing at least 3 WebFetch calls. The phrases "I know this topic well" and "I have deep knowledge of these" appeared in real failures and are disqualifying errors.

This is the opening of the README. Read the full README on GitHub.

Commands ML Research provides

Slash commands named in this skill’s SKILL.md, listed in the order they first appear.

/v0

Frequently asked about ML Research

What else does Leeroo-AI publish alongside ML Research?
ML Research is one of 7 skills that DirSkills catalogs from Leeroo-AI/superml, the repository it ships in. Its siblings there include ML Debugging, ML Experiment Journal and ML Iteration. Each one is a separate skill with its own page in this directory, installs the same way ML Research does, and is maintained by Leeroo-AI in that same repository. The rest of the collection is listed on the Leeroo-AI/superml page.
How does ML Research compare to other AI Engineering skills?
ML Research ranks #2870 by stars among the 3101 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of ML Research against them. Open each page to compare what they document and how they install.