Simon Prince's comprehensive deep learning framework for understanding neural networks, architectures, and training.
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AI-powered self-healing Selenium tests with Reqnroll BDD
Transfer learning, metrics optimization, and continuous improvement for AI-powered QE agents.
deep-learning-python
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Guidelines for deep learning development with PyTorch, Transformers, Diffusers, and Gradio for LLM and diffusion model work.
Expert guidance for deep learning, transformers, diffusion models, and LLM development with PyTorch, Transformers, Diffusers, and Gradio.
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents.
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents.
ship-learn-next
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Use when user has learning content (YouTube transcripts, articles, tutorials) and wants to make it actionable. Triggers include "turn this into a plan", "make this actionable", "I watched/read X,...
episode-start
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Start a new learning episode in the self-learning memory system with proper context. Use this skill when beginning a new task that should be tracked for learning from execution patterns.
Use when teaching complex concepts (technical, scientific, philosophical), helping learners discover insights through guided questioning rather than direct explanation, correcting misconceptions...
constitutional-ai
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Anthropic's method for training harmless AI through self-improvement. Two-phase approach - supervised learning with self-critique/revision, then RLAIF (RL from AI Feedback). Use for safety...
constitutional-ai
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Anthropic's method for training harmless AI through self-improvement. Two-phase approach - supervised learning with self-critique/revision, then RLAIF (RL from AI Feedback). Use for safety...
codify-learning
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Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or...
Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or...
learn-codebase
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learn-about-omc
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Analyze your OMC usage patterns and get personalized recommendations
live-education
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Expert in live learning experiences - cohort-based courses, workshops, webinars, coaching sessions, and real-time facilitation. Covers designing for synchronous learning, building peer...
Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when...
Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when...