Use when teaching complex concepts (technical, scientific, philosophical), helping learners discover insights through guided questioning rather than direct explanation, correcting misconceptions...
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a-b-testing
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The science of learning through controlled experimentation. A/B testing isn't about picking winners—it's about building a culture of validated learning and reducing the cost of being wrong. This...
claudeception
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evolution
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azure-cloud
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Provides comprehensive Microsoft Azure guidance including Azure Virtual Machines, Azure Storage (Blob, Files, Disks), Azure SQL Database, Azure App Service, Azure Functions, AKS (Azure Kubernetes...
teach
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Deep pedagogical guidance - learn technology by doing with Socratic teaching. Use when learning a new framework or wanting to understand WHY, not just HOW.
ML Model Training
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Build and train machine learning models using scikit-learn, PyTorch, and TensorFlow for classification, regression, and clustering tasks
discover-ml
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Automatically discover machine learning and AI skills when working with machine learning. Activates for ml development tasks.
episode-complete
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Complete and score a learning episode to extract patterns and update heuristics. Use when finalizing a task to enable pattern extraction and future learning.
compound
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Capture learnings from feature development to make future work easier. Called after review cycles during execute phase. Each call captures one focused learning.
salvage
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Extract learning before restarting. Code is a draft; learning is the asset. Use when work is drifting, approach has reversed 3+ times, or scope is expanding while "done" keeps fuzzing.
intent-assess
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Assess if IDD fits your project and learn about Intent-Driven Development. Use /intent-assess to evaluate project suitability or /intent-assess --learn for IDD education.
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...
Help users run effective post-mortems and retrospectives. Use when someone is reviewing a project that succeeded or failed, wants to establish learning practices, is dealing with failure...
feynman
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Feynman Technique for deep learning—explain a concept simply, identify gaps, fill them, then refine. Use when learning something new, testing understanding, or preparing to teach.
improve-skill
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Extract learnings from session transcripts or notes and incorporate them into existing skills or create new ones. Use when the user has analysis documents, session learnings, or patterns they want...
math-teacher
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Interactive math teacher that instantly generates playful, gamified learning experiences. Creates visual playgrounds, interactive artifacts, and engaging games for kids and adults to learn math...
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...