Transform learning content (like YouTube transcripts, articles, tutorials) into actionable implementation plans using the Ship-Learn-Next framework. Use when user wants to turn advice, lessons, or...
Transform learning content (like YouTube transcripts, articles, tutorials) into actionable implementation plans using the Ship-Learn-Next framework. Use when user wants to turn advice, lessons, or...
Analyze recent conversation context and capture learnings to project knowledge files (for project-specific insights) or skills/commands/subagents (for cross-project patterns). Use when the user...
Use when long-term knowledge retention is needed (weeks to months), studying for exams or certifications, learning new job skills or technology, mastering substantial material that requires...
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Deep research expert for comprehensive technical investigations. Use when conducting technology evaluations, comparing solutions, analyzing papers, or exploring technical trends.
Use when user requests research requiring multiple sources, comprehensive analysis, or synthesis across topics - technical research, domain knowledge gathering, market analysis, or learning about...
Analyzes development sessions to extract patterns, preferences, and learnings. Use after significant work sessions to capture insights, document system understanding, and improve future interactions.
Best practices for scikit-learn machine learning, model development, evaluation, and deployment in Python
UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
Design personalized learning plans for skills, topics, and career development
Access LinkedIn Learning courses and track professional development
Summarize what was learned in the conversation into markdown format and post it to the local API endpoint
Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.
Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.
Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.
Machine learning development with JAX, functional programming patterns, and high-performance computing.
UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
Deep agentic-flow@alpha integration implementing ADR-001. Eliminates 10,000+ duplicate lines by building claude-flow as specialized extension rather than parallel implementation.
Interactive game to learn Claude Agent Skills (SKILL.md) - explore, learn, and quiz yourself!