mcpbeat

Ort Build

microsoft/ort-build

Build ONNX Runtime from source. Use this skill when asked to build, compile, or generate CMake files for ONNX Runtime.

1k tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
21266
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/microsoft/onnxruntime --skill ort-build

The instruction itself

7 sections, as written by the author

Building ONNX Runtime

The build scripts build.sh (Linux/macOS) and build.bat (Windows) delegate to tools/ci_build/build.py.

Build phases

Three phases, controlled by flags:

  • --update — generate CMake build files
  • --build — compile (add --parallel to speed this up)
  • --test — run tests

For native builds, if none are specified (and --skip_tests is not passed), all three run by default. For cross-compiled builds, the default is --update + --build only.

When to use --update

You need --update when:

  • First build in a new build directory
  • New source files are added (some CMake targets use glob patterns, others use explicit file lists — re-run to pick up new files either way)
  • CMake configuration changes (new flags, updated CMakeLists.txt)

You do not need --update when only modifying existing .cc/.h files — just use --build. Skipping it saves time.

Examples

# Full build (update + build + test)
./build.sh --config Release --parallel
.\build.bat --config Release --parallel     # Windows

# Just regenerate CMake files
./build.sh --config Release --update

# Just compile (skip CMake regeneration and tests)
./build.sh --config Release --build --parallel

# Just run tests (after a prior build)
./build.sh --config Release --test

# Build with CUDA execution provider
./build.sh --config Release --parallel --use_cuda --cuda_home /usr/local/cuda --cudnn_home /usr/local/cuda

# Build Python wheel
./build.sh --config Release --parallel --build_wheel

# Build a specific CMake target (much faster than a full build)
./build.sh --config Release --build --parallel --target onnxruntime_common

# Load flags from an option file (one flag per line)
./build.sh "@./custom_options.opt" --build --parallel

Key flags

| Flag | Description |

|------|-------------|

| --config | Debug, MinSizeRel, Release, or RelWithDebInfo |

| --parallel | Enable parallel compilation (recommended) |

| --skip_tests | Skip running tests after build |

| --build_wheel | Build the Python wheel package |

| --use_cuda | Enable CUDA EP. Requires --cuda_home/--cudnn_home or CUDA_HOME/CUDNN_HOME env vars. On Windows, only cuda_home/CUDA_HOME is validated. |

| --target T | Build a specific CMake target (requires --build; e.g., onnxruntime_common, onnxruntime_test_all) |

| --use_webgpu | Enable WebGPU EP. To run its tests locally on Linux without a GPU, see the webgpu-local-testing skill. |

| --cmake_extra_defines onnxruntime_QUICK_BUILD=ON | Faster CUDA build: instantiates a reduced kernel set. Side effect: Flash is compiled for head_dim 128 only, so most attention shapes fall back to MEA (changes which attention kernel is compiled/dispatched). Don't use it to characterize Flash-vs-arch behavior. |

| --build_dir | Build output directory |

Build output path

Default: build/<Platform>/<Config>/ where Platform is Linux, MacOS, or Windows.

With Visual Studio multi-config generators, the config name appears twice (e.g., build/Windows/Release/Release/).

It may be customized with --build_dir.

Agent tips

  • Activate a Python virtual environment before building. See "Python > Virtual environment" in AGENTS.md.
  • Build flags can silently reroute which kernel/code path executes. A build option can

change *which* kernel is compiled, and therefore which code path actually runs — so a CI

failure can live in a different code path than your local build exercises. Before

hypothesizing a hardware- or algorithm-specific cause (e.g. "this GPU arch miscomputes"),

first identify which kernel actually ran for the failing configuration (see the

ort-test skill → "Verify which path/kernel actually executed"). Concrete instance:

onnxruntime_QUICK_BUILD=ON compiles FlashAttention for head_dim 128 only, so most

attention shapes silently dispatch to Memory-Efficient Attention instead of Flash —

details in the cuda-attention-kernel-patterns skill.

  • Prefer python tools/ci_build/build.py directly over build.bat/build.sh when redirecting output. The .bat wrapper runs in cmd.exe, which breaks PowerShell redirection.
  • Redirect output to a file (e.g., > build_log.txt 2>&1). Build output is large and will overflow terminal buffers.
  • Run builds in the background — a full build can take tens of minutes to over an hour. Poll the log for "Build complete" or errors.
  • Use --parallel by default unless the user says otherwise.
  • Ask the user what they want to build (config, execution providers, wheel, etc.) if not clear from their prompt.

How to use it

Copy the folder

Take microsoft/ort-build from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.