superml
Grounded ML planning, debugging, verification, and experiment tracking
All Skills in This Repository (7)
Pure Emerald Level Indicators
Leeroo-AIml-verify
Verify machine learning code and hyperparameters against official documentation.
Leeroo-AIml-debug
Diagnoses ML/AI failures like OOM errors and NaN values using official documentation and framework-specific knowledge bases.
Leeroo-AIml-iterate
Analyze past ML experiments and propose ranked next steps with citations.
Leeroo-AIml-research
Analyze and compare ML/AI topics using official framework documentation.
Leeroo-AIml-plan
Generate and validate machine learning implementation plans using official framework documentation.
Leeroo-AIml-experiment
Log machine learning experiment hypotheses, changes, and results in persistent journals.
Leeroo-AIusing-superml
Guide AI agents to use Leeroopedia knowledge base with tool calls and citations.
Frequently Asked Questions
FAQPage SchemaHow to install SuperML?▼
Run `npx skills add Leeroo-AI/superml --all -g -y` in your terminal to install all seven ML workflow skills globally.
What does SuperML do for ML engineers?▼
It helps you plan training runs, verify configs before burning GPU hours, debug failures like OOM and NaN by root cause, and get ranked next steps when metrics plateau. Every answer is grounded in real framework documentation with citations.
Does SuperML work with Claude Code and Cursor?▼
Yes. It works with Claude Code, Cursor, Codex, OpenCode, and Gemini CLI, and a session hook loads the skills automatically with zero per-conversation setup.
Do I need an API key to use SuperML?▼
No. Without a key, the skills fall back to web search and official documentation for grounding. With a free Leeroopedia key, your agent gets faster access to 27k+ curated ML framework pages.
How does SuperML prevent repeated failed experiments?▼
The ml-experiment skill maintains a persistent journal of hypotheses, results, and lessons across sessions, so your agent checks what already failed before proposing new runs.
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