Guide AI agents to use Leeroopedia knowledge base with tool calls and citations.
npx skills add https://github.com/Leeroo-AI/superml --skill using-superml
Please help me install this Agent Skill. Skill: using-superml Source: https://github.com/Leeroo-AI/superml/tree/main/skills/using-superml Command: npx skills add https://github.com/Leeroo-AI/superml --skill using-superml
This Skill ensures your AI agent leverages the Leeroopedia knowledge base and follows best practices for ML/AI development, preventing costly mistakes and accelerating progress.
Use the using-superml skill to establish grounding and workflow best practices for any ML/AI task.
High-intent search queries and answers about installing and using this skill.
ML workflow best practices are enforced by guiding your AI agent through structured planning, verification, and debugging steps. This prevents common configuration and API usage errors before they cause failures.
Leeroopedia is a knowledge base that grounds AI agents by providing accurate information through enforced tool calls. It supports both KB and Web modes for reliable information retrieval during ML tasks.
To start a fine-tuning project, guide your AI agent to first consult the knowledge base for optimal hyperparameters, then verify the configuration before launching the training job to prevent errors.
Yes, you can use Web mode for information retrieval. The workflow supports both KB and Web modes to ensure your AI agent retrieves grounded information depending on task requirements.
Citation requirements are needed during ML tasks to enforce grounding and prevent hallucinations. By requiring tool calls and citations, the agent ensures accurate API usage and experimental design.
The best way to debug AI workflow configuration issues is by following a structured approach of verification and iteration. The workflow guides agents to catch common API and configuration errors before failures occur.
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