triton-tutor-setup
Skill4 starsChanged 9 months agoNo licenceView on GitHub
Generate an Obsidian-format Triton StudyVault for learning OpenAI Triton's GPU programming stack. Three modes: (1) Curriculum mode (default, no source files needed) builds a prereq-ordered vault around 6 topics: Triton basics, tiling & autotuning, matmul patterns (tiled GEMM, split-K, FP8 `tl.dot`), attention & reductions (FlashAttention), compiler internals (TTIR/TTGIR/LLIR, NVIDIA/AMD backends, WGMMA + TMA lowering), and ecosystem/production (`torch.compile`/Inductor, AOT, `proton`); (2) Codebase mode generates an onboarding vault from a real Triton/Inductor source tree; (3) Document mode turns Triton docs, blog posts, and tutorial PDFs into study notes. Mode is auto-detected from CWD markers. Use when the user wants to learn Triton from scratch, onboard onto a Triton codebase, build a Triton exercise list, or preprocess Triton PDFs/docs into study material. Pair with the `triton-tutor` skill to quiz against the resulting vault.
In this repository31 other files it gives its agents.
- skills/auto-gpu-kernel/references/agents.mdAGENTS.md
- academic-grant-proposalSkill
- academic-rebuttalSkill
- academic-reviewerSkill
- academic-writingSkill
- ast-grepSkill
- auto-gpu-kernelSkill
- better-grepSkill
- citation-convertSkill
- conference-plotSkill
- cuda-tutor-setupSkill
- cuda-tutorSkill
- education-statementSkill
- add-cuda-kernelSkill
- benchmark-kernelSkill
- debug-cuda-crashSkill
- function-dep-searchSkill
- cuda-kernelsSkill
- meeting-summarySkill
- mem0Skill
- openvikingSkill
- research-statementSkill
- add-jit-kernelSkill
- add-sgl-kernelSkill
- ci-workflow-guideSkill
- debug-cuda-crashSkill
- generate-profileSkill
- sglang-bisect-ci-regressionSkill
- write-sglang-testSkill
- triton-tutorSkill
- tutor-handoutsSkill
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