tvm-ffi-build

Compile TVM FFI C++ projects from source using CMake.

1|Updated Feb 6, 2026
One-click install
npx skills add https://github.com/guan404ming/gmccc --skill tvm-ffi-build
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tvm-ffi-build
Source: https://github.com/guan404ming/gmccc/tree/main/skills/tvm-ffi/tvm-ffi-build
Command: npx skills add https://github.com/guan404ming/gmccc --skill tvm-ffi-build

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Streamlines building TVM's FFI C++ components, reducing manual configuration and build time.

Core Features & Use Cases

  • Single-command build: compiles the TVM FFI C++ codebase from source using CMake.
  • Cross-platform compatibility: supports Linux and macOS with standard toolchains.
  • Incremental builds & caching: reuses previous build state for faster rebuilds.
  • Use Case: When updating TVM's FFI bindings, run the build to regenerate artifacts quickly.

Quick Start

Invoke the build from the repository root to compile the TVM FFI C++ artifacts.

Frequently Asked Questions about tvm-ffi-build

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I compile TVM FFI C++ projects from source?

You can compile TVM FFI C++ projects by invoking a single build command from the repository root, which uses CMake to process the source and generate artifacts. This requires a functional C++ toolchain and a CMake-based project setup.

How does CMake handle incremental builds for TVM FFI C++ code?

CMake handles incremental builds for TVM FFI C++ code by reusing previous build state and caching. This mechanism significantly reduces build time when you are updating TVM's FCI bindings and need to regenerate artifacts quickly.

Do I need a specific compiler to build TVM FFI C++ components?

Yes, you need a functional C++ toolchain with a compatible compiler to build TVM FFI C++ components. The Skill applies to compiling and integrating these components across environments, relying on standard toolchains rather than custom configurations.

Can I use this build process for TVM FFI on macOS and Linux?

Yes, you can use this build process for TVM FFI on both macOS and Linux. The Skill features cross-platform compatibility, supporting standard toolchains across these environments to compile the C++ codebase from source.

When should I run a single-command build for TVM FFI bindings?

You should run a single-command build for TVM FFI bindings when you are updating the bindings and need to regenerate artifacts quickly. This reduces manual configuration time by streamlining the build process for the C++ components.