Adversarr/kernel-dsl
Skill Claude CodeCodex
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Adversarr/kernel-dsl
Agent Codex
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
Adversarr/kernel-dsl
Agent Codex
Compare two outputs WITHOUT knowing which skill produced them.
Adversarr/kernel-dsl
Agent Codex
Evaluate expectations against an execution transcript and outputs.
Adversarr/kernel-dsl
Instructions file CodexOpenCode
AGENTS.md instructions for Adversarr/kernel-dsl, covering agents.md, repository layout, authoring rules and practical implication.
Adversarr/kernel-dsl
Skill Claude CodeCodex
Use when the user asks about CUDA kernel optimization, GPU memory hierarchy, kernel scheduling, GEMM or attention implementations, PTX or CUDA DSL techniques, or wants concrete PR-backed kernel references. The deepest coverage is NVIDIA Blackwell and Hopper, but the navigation patterns are useful for broader…
Adversarr/kernel-dsl
Skill Claude CodeCodex
Profile correct CUDA kernels emitted by Python DSLs with Nsight Compute on B200 / sm100. Use when the user asks to analyze performance, diagnose bottlenecks, read an ncu report, or write an optimization plan for a Python-DSL-generated kernel that already passes correctness checks.
Adversarr/kernel-dsl
Skill Claude CodeCodex
Guides writing and refactoring GPU kernels across CUDA and DSLs. Invoke when implementing kernel files that must stay importable, independently testable, profileable, and optimizable.
Adversarr/kernel-dsl
Skill Claude CodeCodex
Profiles TileLang and mixed PyTorch+TileLang workloads with torch.profiler. Invoke when users want traces, operator breakdowns, memory profiling, or a lightweight first-pass performance diagnosis.
Adversarr/kernel-dsl
Skill Claude CodeCodex
A local, code-grounded TileLang reference skill for DSL semantics, kernel authoring, API lookup, tuning, debugging, examples, and compiler/runtime behavior. Use whenever you need to write, modify, explain, optimize, validate, or troubleshoot TileLang programming work.
Adversarr/kernel-dsl
Skill Claude CodeCodex
Write optimized Triton GPU kernels for deep learning operations. Covers the full spectrum from basic vector ops to Flash Attention, persistent matmul, fused normalization, quantized GEMM, and memory-efficient patterns.