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...
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Continuous self-improvement through structured reflection and memory
Access LinkedIn Learning courses and track professional development
Best practices for scikit-learn machine learning, model development, evaluation, and deployment in Python
Summarize what was learned in the conversation into markdown format and post it to the local API endpoint
Comprehensive deep learning guidelines for neural network development, training, and optimization.
Design personalized learning plans for skills, topics, and career development
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.
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.
UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
Interactive game to learn Claude Agent Skills (SKILL.md) - explore, learn, and quiz yourself!
Local code review comparing branches/diffs without GitHub integration. Use when the user wants to review their code, self-review changes, check for bugs before committing, or mentions code review,...
Use when implementing RL algorithms, training agents with rewards, or aligning LLMs with human feedback - covers policy gradients, PPO, Q-learning, RLHF, and GRPOUse when ", " mentioned.