Generate and validate machine learning implementation plans using official framework documentation.
npx skills add https://github.com/Leeroo-AI/superml --skill ml-plan
Please help me install this Agent Skill. Skill: ml-plan Source: https://github.com/Leeroo-AI/superml/tree/main/skills/ml-plan Command: npx skills add https://github.com/Leeroo-AI/superml --skill ml-plan
This Skill transforms high-level goals into detailed, validated, and runnable ML implementation plans, preventing costly mistakes and wasted GPU hours.
Use the ml-plan skill to generate an implementation plan for fine-tuning a Llama 3 model for sentiment analysis.
High-intent search queries and answers about installing and using this skill.
To generate a validated machine learning implementation plan, you provide a high-level project goal and the system outputs a step-by-step plan grounded in official framework documentation, ensuring all configurations and commands are executable.
Validating an ML plan against official documentation prevents wasted GPU hours by checking proposed steps for version-specific API compatibility and potential pitfalls, gap-filling missing configurations before execution begins.
Yes, you can use official framework documentation to account for version-specific APIs in your MLOps plan, fetching exact library requirements and configurations to ensure the implementation remains grounded and runnable.
The best way to plan fine-tuning a Llama 3 model for sentiment analysis is generating a detailed implementation plan that specifies exact libraries, versions, commands, and configurations, citing official docs for each step.
ML plan generation works with both KB-backed and web-fetched documentation modes, consulting official framework sources comprehensively to validate implementation steps and identify potential risks.
Automated ML engineering plan generation relies on available official framework documentation to validate steps and identify risks, meaning it cannot account for undocumented custom runtime environments or proprietary library behaviors.
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