ML Planning

by Leeroo-AI

ML Planning 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 Planning

Copy ML Planning 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-plan ~/.claude/skills/ml-plan

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

What ML Planning does

ML Planning turns an ML goal into a grounded, step-by-step implementation plan. Use it when you need an architecture, pipeline, or build plan for a machine learning project.

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

Documentation

README

Excerpt

ML Planning

Turn goals into validated, runnable implementation plans grounded in framework documentation.

Detect mode: Try one KB call (build_plan or search_knowledge). If it returns results → KB mode. If it fails for ANY reason (auth error, no results, timeout) → Web mode. There is no third option.

Web mode = mute mode. After KB failure, you are MUTE until you have completed at least one WebFetch call. No text, no plan, no acknowledgment of expertise. Your first action must be a WebFetch tool call. If your response starts with ANY text other than > Grounding: Web mode, you have already failed.

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

Frequently asked about ML Planning

What else does Leeroo-AI publish alongside ML Planning?
ML Planning 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 Planning 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 Planning compare to other AI Engineering skills?
ML Planning ranks #2869 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 Planning against them. Open each page to compare what they document and how they install.