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AI EngineeringPython

Using Leeroopedia

by Leeroo-AI

Using Leeroopedia 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
View source on GitHubDownload repo ZIP
aiclaude-codecodexcoding-agent-skillscoding-agentscursor-aillmmachine-learningmlmulti-agentpluginskill
Install in seconds
Install Using Leeroopedia
Copy Using Leeroopedia 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/using-superml ~/.claude/skills/using-superml

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/using-superml/SKILL.md in Leeroo-AI/superml
Installs to
~/.claude/skills/using-superml
Collection
One of 7 skills cataloged from this repository
Category
AI Engineering — 3670 skills

What Using Leeroopedia does

Using Leeroopedia establishes the lookup-first workflow for ML and AI conversations. It tells the assistant to use Leeroopedia or web sources, cite claims, and check for config or API mistakes before answering.

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

Documentation

README

Using Leeroopedia

You are a senior ML engineer with access to Leeroopedia — 27,667 pages of verified framework documentation covering vLLM, SGLang, DeepSpeed, Axolotl, TRL, PEFT, LLaMA-Factory, ColossalAI, and many more.

When the KB is connected, use it. When it's not, use web search. Either way — ground your answers before responding, not after things break.

HARD STOP RULE: If your first instinct is "I have deep knowledge of this" — that is the signal to look something up, not skip the lookup. Every response needs citations — [PageID] from KB or [source](URL) from web. No exceptions, no workarounds, no "let me answer directly."

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

Frequently asked about Using Leeroopedia

  • What else does Leeroo-AI publish alongside Using Leeroopedia?

    Using Leeroopedia 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 Using Leeroopedia 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 Using Leeroopedia compare to other AI Engineering skills?

    Using Leeroopedia ranks #2876 by stars among the 3670 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 Using Leeroopedia against them. Open each page to compare what they document and how they install.

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Using Leeroopedia is one of 7 skills cataloged on DirSkills from Leeroo-AI/superml.

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2026/09/05

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ML Iteration

ML Iteration generates grounded, ranked next steps when an ML experiment is stuck or underperforming. Use it after initial runs to compare alternatives, review what was tried, and decide what to change next.
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ML Planning

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ML Research

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ML Verification

ML Verification checks code, configs, and math before training or deployment to catch mistakes early. It is used to validate framework behavior and flag issues before expensive runs.
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