ML Iteration

by Leeroo-AI

ML Iteration 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 Iteration

Copy ML Iteration 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-iterate ~/.claude/skills/ml-iterate

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

What ML Iteration does

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.

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

Documentation

README

Excerpt

ML Iteration

Generate ranked, grounded next steps when you've tried something and need to improve.

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.

KB mode: Call propose_hypothesis → search_knowledge → query_hyperparameter_priors. Cite as [PageID].

Web mode: WebFetch GitHub issues for similar problems → WebFetch framework tuning guides → WebFetch published configs/ablations. Cite as [source](URL). Start response with: > Grounding: Web mode — citations from official docs.

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

Frequently asked about ML Iteration

What else does Leeroo-AI publish alongside ML Iteration?
ML Iteration 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 Planning. Each one is a separate skill with its own page in this directory, installs the same way ML Iteration 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 Iteration compare to other AI Engineering skills?
ML Iteration ranks #2868 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 Iteration against them. Open each page to compare what they document and how they install.