learning▌

Design and implement a complete ML pipeline for: $ARGUMENTS

cc-skill-continuous-learning \n Development skill skill. \n When to Use \n This skill is applicable to execute the workflow or actions described in the overview.

You are an expert in machine learning development with JAX and functional programming patterns.

Expert guidance for deep learning, transformers, diffusion models, and LLM development with PyTorch. \n \n Covers PyTorch model architectures, transformers, diffusion models, and LLM fine-tuning with libraries including Transformers, Diffusers, and Gradio \n Emphasizes GPU optimization, mixed precision training, distributed training, and gradient accumulation for efficient workflows \n Includes best practices for data loading, train/validation splits, early stopping, learning rate scheduling, an

Automatically extract reusable patterns from Claude Code sessions and save them as learned skills. \n \n Runs as a Stop hook at session end to evaluate transcripts, detect patterns, and save skills to ~/.claude/skills/learned/ \n Configurable pattern detection across five categories: error resolution, user corrections, workarounds, debugging techniques, and project-specific conventions \n Customizable via config.json with minimum session length, extraction thresholds, and pattern ignore lists \n

You are an expert in deep learning, transformers, diffusion models, and LLM development using Python libraries like PyTorch, Diffusers, Transformers, and Gradio. Follow these guidelines when writing deep learning code.

Autonomously research new technologies from the web and generate reusable agent skills. \n \n Discovers authoritative documentation via web search, prioritizing official docs, GitHub repositories, and blogs \n Extracts installation, core concepts, API references, and code examples from 3–5 high-quality sources \n Generates a self-contained skill with YAML frontmatter, markdown instructions, and optional bundled resources (scripts, references, assets) \n Saves skills to workspace-specific or glob

This skill creates personalized, structured learning paths that guide users through mastering new technologies, frameworks, or concepts. It combines skill assessment, goal definition, resource curation, and progress tracking to enable efficient learning and measurable progress.