Individual skill
triton-lang
Use when writing Triton kernels with @triton.jit, tl.load and tl.store with masking, tl.atomic_add, autotuning, benchmarking, or integrating kernels into PyTorch. Not for raw CUDA: use cuda.
.devin/skills/triton-lang/SKILL.md
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- Last checked
- Nov 4, 2026
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- Repository last updated
- Sep 28, 2026
- License
- Apache-2.0
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# Triton
## Contract
| Field | Bound contract |
|---|---|
| Trigger | GPU kernel work in OpenAI Triton: `@triton.jit` kernels, `tl.load`/`tl.store` masking, atomics, `tl.constexpr` block sizes, autotuning, benchmarking, or PyTorch integration. |
| Authority | Read-only. The skill emits guidance and code; it writes no files. Nothing to roll back. No remote mutation. |
| Side effect | Kernel code, autotune configurations, benchmark harnesses, and debugging steps in chat output. |
| Done | A kernel with correct masking, an autotune or benchmark plan, and a PyTorch integration path exist and are checked against a reference implementation. |
## Inputs
1. Operation (required): the math the kernel should perform, or the kernel under review.