pysheeet is a comprehensive Python cheat sheet and reference repository. Although it is classified as an application because it contains a Flask web server and operational scripts, its dominant character is educational reference content: a Sphinx-built documentation site with runnable, tested code examples under `src/basic/`, covering core Python, asyncio, concurrency, networking, security, databases, C/C++ extensions, and more recent LLM/HPC topics. The repository also ships a Claude Code plugin that exposes the cheat sheets as AI skills. Beyond documentation, the repo contains real operational artifacts for distributed LLM work: Slurm/Docker launch scripts for vLLM, SGLang, and TensorRT-LLM, Megatron training recipes, NCCL broadcast benchmarks, and Ray-on-Slurm patterns. These scripts demonstrate practical HPC skills such as EFA/NCCL tuning, multi-node container orchestration, and profiling with nsys/VizTracer. The code quality is solid overall: examples are well-structured, many have pytest coverage, and the Flask serving layer is security-conscious. The main weaknesses are duplication across LLM vendor scripts, hardcoded cluster-specific paths, and documentation that occasionally references older Python or library versions, which creates moderate technical drift.