68 tagged compilers, measured the same way as everything else here.
Browse within: ai-agent-skills 59build-systems 59debuggers 59low-level-programming 59low-level-programming-language 59gpu-computing 8inference 8llm-inference 8llmops 8
mohitmishra786/low-level-dev-skills
Skill Claude CodeCodex
AFXDP skill for high-performance XDP sockets. Use when creating AFXDP sockets, configuring UMEM and XSK rings, XDPREDIRECT programs, copy vs zero-copy mode, or comparing with DPDK. Activates on queries about AFXDP, xskumem, XDPREDIRECT, libbpf xsk, or zero-copy XDP.
mohitmishra786/low-level-dev-skills
Skill Claude CodeCodex
Guide agents through Linux iouring: the submission/completion queue model (SQE/CQE), liburing API, multi-shot accept/recv, provided buffer rings, fixed files and registered buffers, zero-copy send, Rust integration with tokio-uring, performance comparison with epoll, and security considerations.
mohitmishra786/low-level-dev-skills
Skill Claude CodeCodex
Compiler frontend skill for lexing, parsing, and type checking. Use when building a lexer/parser, designing AST nodes, implementing symbol tables, type checking, error recovery, or emitting LLVM IR. Activates on queries about lexer, Pratt parser, recursive descent, AST, symbol table, Hindley-Milner, or llvm-sys.
Skill Claude CodeCodex
Onboard or periodically reverify and benchmark a Hugging Face model on an exact target GPU platform. Use when asked to add a model recipe, refresh a maintained recipe on a supplied GPU server, benchmark serving, create reproducible experiments and a durable results report, fully qualify and tune the model's Emmy…
Skill Claude CodeCodex
Use this skill when the user asks to re-run an article's benchmarks, reproduce blog post numbers, validate that an article URL still holds, check whether the latest code still performs like a published post, or otherwise compare re-measured Emmy results with published results. It fetches the article, finds its…
Skill Claude CodeCodex
Tune Emmy kernels for a Hugging Face model, traced IR, or golden YAML. Use when asked to tune a model or golden set, seed MCTS with model-proposed knob configurations, compare hybrid proposals against MCTS-only search, diagnose slow or failing kernels, refresh per-GPU goldens, or produce a per-kernel tuning findings…