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By Leeroo-AI
Diagnose and fix ML training failures (OOM, NaN, divergence), generate citation-grounded implementation plans for fine-tuning and inference pipelines, and verify code/configs against official framework docs before running GPU jobs.
npx claudepluginhub leeroo-ai/superml --plugin supermlUse when something is failing in ML/AI work — OOM, NaN, divergence, crashes, bad throughput, wrong outputs, dependency conflicts
Use when starting, logging, or reviewing ML experiments — maintains a persistent experiment journal with hypotheses, results, and learnings across sessions
Use when the user is stuck, needs ranked next steps, or wants alternatives after initial experiments — "I tried X and got Y, what next?"
Use when the user wants an implementation plan, architecture design, or multi-step ML pipeline — "build X", "implement X", "design X", "set up X"
Use when the user wants to understand an ML/AI topic, compare approaches, or survey framework capabilities — "how does X work?", "compare X vs Y"
External network access
Connects to servers outside your machine
Uses power tools
Uses Bash, Write, or Edit tools
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Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Agent Skills for AI/ML tasks including dataset creation, model training, evaluation, and research paper publishing on Hugging Face Hub
ML/perf investigation skills: topic, plan, judge, run, sweep
Set up ML experiment tracking
Evaluate and compare ML model performance metrics
Train ML models with scikit-learn, PyTorch, TensorFlow. Use for classification/regression, neural networks, hyperparameter tuning, or encountering overfitting, underfitting, convergence issues.
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
Give your AI coding agent ML engineering superpowers.
Watch how SuperML works in 90 seconds:
If SuperML helps you, give it a ⭐ it helps others find the project.
It adds two things your coding agent doesn't have:
ML Pipeline: Seven skills that encode the workflow you already follow. Plan against real framework docs. Catch config mistakes before they cost you GPU hours. Debug OOM, NaN, and divergence by root cause, not by guessing. Get ranked next steps when metrics plateau. An agentic experiment memory carries hypotheses, results, and lessons across sessions — your agent stops repeating failed experiments and starts compounding what works.
Memory: Backed by Leeroopedia, 27k+ pages across 1000+ ML/AI frameworks. Config references, debugging heuristics, implementation patterns, and battle-tested defaults from vLLM to DeepSpeed to LangChain. Built by the Leeroo continuous learning system, structured as a browsable wiki, and continuously updated by AI and human engineers. When your agent recommends a config, it points to the page it learned it from.
Works with Claude Code, Cursor, Codex, OpenCode, and Gemini CLI.
ml-expert) handles deeper tasks and remembers your hardware, experiments, and lessons across sessions.37 ML tasks scored head-to-head: Cursor / Claude Code with SuperML vs without. Each response rated by independent LLM judges across correctness, specificity, mistake prevention, actionability, and grounding.
See TESTED_TASKS.md for detailed scores and methodology.
The plugin works without an API key — skills use web search to ground answers. With a key, your agent gets access to the Leeroopedia knowledge base (27k+ pages, faster and more precise lookups). The plugin will tell you if it's running without a key.
To get a key: app.leeroopedia.com — $20 free credit on signup, no credit card.
export LEEROOPEDIA_API_KEY=kpsk_your_key_here
Add to your shell profile (~/.bashrc, ~/.zshrc) so it persists.
Register the marketplace, then install the plugin:
/plugin marketplace add leeroo-ai/leeroo-marketplace
/plugin install superml@leeroo-marketplace
Or install directly from GitHub:
claude plugin add --from-github leeroo-ai/superml
In Cursor Agent chat (waiting for Cursor team approval):
/add-plugin superml
Or clone into your project — Cursor auto-detects .cursor-plugin/plugin.json:
git clone https://github.com/leeroo-ai/superml.git
See .codex/INSTALL.md.
See .opencode/INSTALL.md.
git clone https://github.com/leeroo-ai/superml.git
gemini extension add ./superml/gemini-extension.json
If you just want the knowledge base without the full plugin, see leeroopedia-mcp for setup instructions.
You get the MCP tools (memory) but not the workflow skills (process).
Start a conversation and try something like: