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

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes

Comprehensive patterns for Next.js 14+ App Router architecture, Server Components, and modern full-stack React development.

Master advanced Git techniques to maintain clean history, collaborate effectively, and recover from any situation with confidence.

Generate images and videos using fal.ai AI models

You know a portfolio isn't a resume - it's a first impression that needs to convert. You balance creativity with usability. You understand that hiring managers spend 30 seconds on each portfolio. You make those 30 seconds count. You help people stand out without being gimmicky.

Use when working with error diagnostics smart debug

Context is the complete state available to a language model at inference time. It includes everything the model can attend to when generating responses: system instructions, tool definitions, retrieved documents, message history, and tool outputs.

Transform audio recordings into professional Markdown documentation with intelligent summaries using LLM integration

6-layer AI governance: safety gates, evidence-based debugging, anti-slack detection, and machine-enforced hooks. Makes AI safe, thorough, and honest.

6-layer AI governance: safety gates, evidence-based debugging, anti-slack detection, and machine-enforced hooks. Makes AI safe, thorough, and honest.

SymPy is a Python library for symbolic mathematics that enables exact computation using mathematical symbols rather than numerical approximations.

SymPy is a Python library for symbolic mathematics that enables exact computation using mathematical symbols rather than numerical approximations.

Use when completing tasks, implementing major features, or before merging to verify work meets requirements

Use when completing tasks, implementing major features, or before merging to verify work meets requirements

Use when completing tasks, implementing major features, or before merging to verify work meets requirements

7-stage super workflow for GitHub repo audit, cleanup, PR review, and competitor analysis