Guidelines for deep learning development with PyTorch, Transformers, Diffusers, and Gradio for LLM and diffusion model work.

Helps with code explanation, refactoring, debugging, and optimization. Use when working with programming tasks.

Pragmatic coding standards - concise, direct, no over-engineering, no unnecessary comments

Pragmatic coding standards - concise, direct, no over-engineering, no unnecessary comments

Pragmatic coding standards - concise, direct, no over-engineering, no unnecessary comments

Pragmatic coding standards - concise, direct, no over-engineering, no unnecessary comments

Pragmatic coding standards - concise, direct, no over-engineering, no unnecessary comments

Pragmatic coding standards - concise, direct, no over-engineering, no unnecessary comments

Expert guidance for deep learning, transformers, diffusion models, and LLM development with PyTorch, Transformers, Diffusers, and Gradio.

Delegate coding tasks to Codex AI for implementation, analysis, and alternative solutions. Use when you need a second AI perspective, want to explore different approaches, or need specialized...

Automated code review against project conventions (CLAUDE.md) and best practices

Comprehensive deep learning guidelines for neural network development, training, and optimization.

Intelligent code review dispatcher - automatically selects best reviewer based on context and preferences

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.

Tutorial patterns for documentation - learning-oriented guides that teach through guided doing

Python language expertise for writing idiomatic, production-quality Python code. Covers web frameworks (FastAPI, Django, Flask), data processing (pandas, numpy, dask), ML patterns (sklearn,...

Run a comprehensive security review on code

General Correctness rules, Rust patterns, comments, avoiding over-engineering. When writing code always take these into account

Orchestrate comprehensive codebase research focusing on identifying and explaining relevant code with precise file and line references.