Ai Llm

Continuous Learning v2 is an advanced learning system that observes your Claude Code sessions through hooks, capturing tool usage patterns. It creates atomic 'instincts' with confidence scoring that can evolve into reusable skills, commands, and agents. The system learns your preferences and workflows to make Claude more personalized over time.

Ralph Loop implements continuous self-referential AI loops for interactive iterative development. It uses a stop hook to repeatedly feed the same prompt, allowing Claude to see and improve upon its previous work until completion criteria are met.

This skill teaches developers how to create autonomous agents for Claude Code plugins. It provides comprehensive documentation on agent file structure, YAML frontmatter fields, system prompt design patterns, and triggering conditions with concrete examples. Includes a bash validation script to check agent files for correct structure.

Expert guidance for creating, building, and using Claude Code subagents and the Task tool. Use when working with subagents, setting up agent configurations, understanding how agents work, or using the Task tool to launch specialized agents.

Wield Google's Gemini CLI as a powerful auxiliary tool for code generation, review, analysis, and web research. Use when tasks benefit from a second AI perspective, current web information via Google Search, codebase architecture analysis, or parallel code generation. Also use when user explicitly requests Gemini operations.

This skill teaches Claude how to help users train specialized small language models (SLMs) using the Distil Labs platform. It covers the entire workflow from data preparation and model creation through training and local deployment with Ollama or vLLM.