메뉴
GPU CI patterns for CUDA compilation caching, manylinux wheels, and multi-arch builds. Use when distribution=pypi-wheel or hardware_targets includes cuda.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Session initialization — run at the start of EVERY session before any other action.
Karpathy-inspired behavioural guidance for non-trivial coding, debugging, review, or refactor work. Use to surface assumptions, keep changes minimal, and define verifiable success criteria.
Manage dependency-aware multi-session workflows in agent_roadmaps/.
Orchestrate build workflows. Environment setup, compilation, and testing.
Validate constraint compliance at any time during development.
Create a new project from the repo_template. Supports Python, C++/CUDA, and Hybrid projects. Template-only skill.
| name | gpu-ci |
| description | Design or review GPU-aware CI for CUDA builds, tests, caches, containers, and Python wheels. Use when hardware targets include CUDA, distribution uses wheels, or CI needs GPU runner gating, multi-architecture coverage, or manylinux validation. |
Read and follow the canonical vendor-neutral skill at
.agents/skills/gpu-ci/SKILL.md. That file is the single source of truth.
