Developing Software
telagod/code-abyss
Software development knowledge reference covering Python, Go, Rust, TypeScript, Java, C++, and Shell.
CMake build options, custom functions, and backend patterns for LuisaCompute.
$ npx skills add LuisaGroup/LuisaCompute --skill cmake -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LuisaGroup/LuisaCompute cmake --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/LuisaGroup/LuisaCompute.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/cmake .claude/skills/cmake && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "cmake" agent skill from https://github.com/LuisaGroup/LuisaCompute/tree/stable/.agents/skills/cmake into .claude/skills/cmake/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cmake", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/LuisaGroup/LuisaCompute/tree/stable/.agents/skills/cmakeType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add LuisaGroup/LuisaCompute --skill cmake -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LuisaGroup/LuisaCompute cmake --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LuisaGroup/LuisaCompute.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/cmake .agents/skills/cmake && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cmake" agent skill from https://github.com/LuisaGroup/LuisaCompute/tree/stable/.agents/skills/cmake into .agents/skills/cmake/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cmake", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LuisaGroup/LuisaCompute --skill cmake -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LuisaGroup/LuisaCompute cmake --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LuisaGroup/LuisaCompute.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/cmake .cursor/skills/cmake && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "cmake" agent skill from https://github.com/LuisaGroup/LuisaCompute/tree/stable/.agents/skills/cmake into .cursor/skills/cmake/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cmake", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/LuisaGroup/LuisaCompute.git --path .agents/skills/cmake--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add LuisaGroup/LuisaCompute --skill cmake -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LuisaGroup/LuisaCompute cmake --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LuisaGroup/LuisaCompute.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/cmake .gemini/skills/cmake && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "cmake" agent skill from https://github.com/LuisaGroup/LuisaCompute/tree/stable/.agents/skills/cmake into .gemini/skills/cmake/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cmake", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install LuisaGroup/LuisaCompute cmakeInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add LuisaGroup/LuisaCompute --skill cmake -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LuisaGroup/LuisaCompute.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/cmake .github/skills/cmake && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "cmake" agent skill from https://github.com/LuisaGroup/LuisaCompute/tree/stable/.agents/skills/cmake into .github/skills/cmake/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cmake", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LuisaGroup/LuisaCompute --skill cmake -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LuisaGroup/LuisaCompute cmake --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LuisaGroup/LuisaCompute.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/cmake .opencode/skills/cmake && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "cmake" agent skill from https://github.com/LuisaGroup/LuisaCompute/tree/stable/.agents/skills/cmake into .opencode/skills/cmake/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cmake", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
cmakeCMake build options, custom functions, and backend patterns for LuisaCompute.
Cmake is an agent skill from LuisaGroup/LuisaCompute. CMake build options, custom functions, and backend patterns for LuisaCompute.
Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Backend & APIs, covering Backend development. It works with C++, CUDA and Rust. The repository describes itself as: High-Performance Rendering Framework on Stream Architectures. The licence is Apache-2.0.
Read from SKILL.md and the folder at commit 0c84a1a. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
pythoncmakexcruncargoFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Cmake loads about 2.4k tokens when it runs. Until then it costs about 21 tokens; SKILL.md has 581 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from LuisaGroup/LuisaCompute at commit 0c84a1a, republished under its Apache-2.0 licence (© LuisaGroup). 581 words, ~2,394 tokens.
.claude/skills/cmake/SKILL.md (or your agent's skills folder).Requirements: CMake 3.26+, Ninja (recommended), C++20 compiler (MSVC/Clang/GCC).
cmake -S . -B build -G Ninja -D CMAKE_BUILD_TYPE=Release
cmake --build build
cmake --install build --prefix distPlatform specifics:
Linux:
export CC=clang-20 CXX=clang++-20
cmake -S . -B build -G Ninja -D CMAKE_BUILD_TYPE=ReleasemacOS:
export PATH="$PATH:/opt/homebrew/opt/llvm/bin"
export CC=/opt/homebrew/opt/llvm/bin/clang
export CXX=/opt/homebrew/opt/llvm/bin/clang++
export SDKROOT=$(xcrun --show-sdk-path)
cmake -S . -B build -G Ninja -D CMAKE_BUILD_TYPE=ReleaseWindows: Requires VS Developer Command Prompt. Or use Python bootstrap:
import bootstrap
bootstrap.prepare_msvc_environment()scripts/agent_windows_cmake.pyOne-shot configure + build + verify on Windows. CI-matching flags (LUISA_COMPUTE_ENABLE_RUST=OFF, LUISA_COMPUTE_ENABLE_REMOTE=OFF, LUISA_COMPUTE_ENABLE_CPU=OFF).
# Full pipeline: configure → build → verify
python scripts/agent_windows_cmake.py
# Individual steps
python scripts/agent_windows_cmake.py --config # configure only
python scripts/agent_windows_cmake.py --build # build only
python scripts/agent_windows_cmake.py --verify # check key .lib/.dll outputs
python scripts/agent_windows_cmake.py --clean # clear CMake cache
# Options
python scripts/agent_windows_cmake.py --type Debug # Debug build
python scripts/agent_windows_cmake.py -j 8 # limit parallel jobs
python scripts/agent_windows_cmake.py --clean --config # clean re-configureAuto-finds cmake and ninja (PATH → .deps/ → pip). Auto-prepares MSVC environment via vswhere. Verifies: SPIRV-Tools-opt.lib, SPIRV-Tools.lib, luisa-ast.dll, luisa-core.dll.
| Option | Default | Description |
|---|---|---|
CMAKE_BUILD_TYPE | - | Release / Debug / RelWithDebInfo / MinSizeRel |
LUISA_COMPUTE_ENABLE_DSL | ON | C++ DSL |
LUISA_COMPUTE_ENABLE_CUDA | ON | CUDA backend |
LUISA_COMPUTE_ENABLE_METAL | ON | Metal backend (macOS only) |
LUISA_COMPUTE_ENABLE_DX | ON | DirectX backend (Windows only) |
LUISA_COMPUTE_ENABLE_VULKAN | ON | Vulkan backend |
LUISA_COMPUTE_ENABLE_HIP | OFF | HIP backend (work in progress) |
LUISA_COMPUTE_ENABLE_CPU | ON | CPU backend (requires Rust) |
LUISA_COMPUTE_ENABLE_REMOTE | ON | Remote backend (requires Rust) |
LUISA_COMPUTE_ENABLE_FALLBACK | ON | Fallback backend (requires LLVM + Embree) |
LUISA_COMPUTE_ENABLE_GUI | ON | GUI support (GLFW/ImGui) |
LUISA_COMPUTE_ENABLE_TENSOR | OFF | C++ DSL tensor extension |
LUISA_COMPUTE_ENABLE_CUDA_EXT_LCUB | OFF | CUDA extension: LCUB |
LUISA_COMPUTE_ENABLE_CLANG_CXX | OFF | ClangTooling-based C++ shading language |
LUISA_COMPUTE_ENABLE_RUST | ON if cargo found, else OFF | Rust/IR support; required for CPU/Remote |
LUISA_COMPUTE_ENABLE_VK_XIR_SPIRV | ON | Native XIR-to-SPIR-V codegen path for Vulkan |
LUISA_COMPUTE_ENABLE_VK_AST_LLVM_SPIRV | OFF | Experimental AST→LLVM SPIR-V path; requires LLVM's native SPIRV target |
LUISA_COMPUTE_BUILD_TESTS | ON in master project | Build tests, examples and tutorials |
LUISA_COMPUTE_ENABLE_SAFE_MODE | OFF | Runtime safe mode |
LUISA_COMPUTE_ENABLE_UNITY_BUILD | OFF | Unity build |
LUISA_COMPUTE_ENABLE_SANITIZERS | OFF | Address/UB sanitizers |
LUISA_COMPUTE_ENABLE_LTO | OFF | Link-time optimization (release builds only) |
LUISA_COMPUTE_ENABLE_SCCACHE | ON (non-MSVC) | Use sccache compiler launcher |
LUISA_COMPUTE_CHECK_BACKEND_DEPENDENCIES | ON | Auto-disable backends with missing dependencies |
LUISA_COMPUTE_ENABLE_WAYLAND | OFF (Linux) | Wayland support in GUI/Vulkan swapchains |
LUISA_COMPUTE_USE_SYSTEM_LIBS | OFF | Prefer system libraries; also enables per-lib USE_SYSTEM_* overrides |
LUISA_COMPUTE_DOWNLOAD_OIDN | OFF | Download OpenImageDenoise |
LUISA_COMPUTE_DOWNLOAD_NVCOMP | OFF (if CUDA) | Download nvCOMP for CUDA decompression |
LUISA_COMPUTE_USE_SYSTEM_* options exist for STL, GLFW, LMDB, REPROC, SPDLOG, XXHASH, YYJSON, MAGIC_ENUM, and MARL.
The two Vulkan SPIR-V codegen options are mutually exclusive. The LLVM path
also builds/links the common luisa-compute-spirv support library because the
Vulkan artifact codec shares its SPIR-V validation and feature-reconciliation
utilities.
CI minimal build:
cmake -S . -B build -G Ninja -D CMAKE_BUILD_TYPE=Release \
-D LUISA_COMPUTE_ENABLE_RUST=OFF -D LUISA_COMPUTE_ENABLE_REMOTE=OFF \
-D LUISA_COMPUTE_ENABLE_CPU=OFF
cmake --build build| Prefix | Example | Purpose |
|---|---|---|
luisa-compute-<module> | luisa-compute-core | Internal library |
luisa-compute-backend-<name> | luisa-compute-backend-cuda | Backend plugin (output: luisa-backend-<name>) |
luisa-compute-ext-<name> | luisa-compute-ext-spdlog | Third-party ext |
luisa::compute | Alias | Interface target for all core modules |
luisa-compute-include (INTERFACE, header-only)
→ luisa-compute-ext (INTERFACE, third-party deps)
→ luisa-compute-core (SHARED)
→ luisa-compute-ast (SHARED)
→ luisa-compute-xir (SHARED)
→ luisa-compute-ir (SHARED when Rust enabled)
→ luisa-compute-runtime (SHARED)
→ luisa-compute-dsl, luisa-compute-gui, luisa-compute-ir
→ luisa-compute-backends (INTERFACE aggregator)Additional modules linked by the umbrella target luisa::compute include luisa-compute-vstl (object helper), luisa-compute-osl, luisa-compute-api, and luisa-compute-clangcxx.
luisa_compute_add_backend(name [SOURCES ...] [SUPPORT_DIR dir])Creates a backend plugin MODULE target. Links luisa-compute-ast, luisa-compute-runtime, and luisa-compute-gui. Output name is luisa-backend-<name> and runtime artifacts are installed to bin/. If SUPPORT_DIR is given, its contents are copied next to the runtime outputs and installed to bin/.
luisa_compute_add_backend(cuda SOURCES ${LUISA_COMPUTE_CUDA_SOURCES})luisa_compute_install(target)Installs target with consistent destination paths.
luisa_compute_install(core SOURCES ${LUISA_COMPUTE_CORE_SOURCES})luisa_compute_add_executable(name)Creates executable linked to luisa::compute.
luisa_compute_add_executable(my_app)luisa_compute_add_test(name source [LABELS ...] [ARGS ...])File: src/tests/CMakeLists.txt. Builds one standalone executable per source. With LABELS, registers a CTest entry (CPU-only tests). Without LABELS, just builds the binary (GPU-using tests are invoked manually with a backend arg).
luisa_compute_add_test(test_basic_traits unit/core/test_basic_traits.cpp LABELS "unit;unit_core")
luisa_compute_add_test(test_my_gpu unit/runtime/test_my_gpu.cpp) # no CTestluisa_compute_add_example(name source... [MIRROR_AS_TEST])File: examples/CMakeLists.txt. Builds example_<name> and, when MIRROR_AS_TEST is set, additionally builds a test_<name> mirror executable from the same sources. Reserved for auto-checkable examples (reference-image comparison, deterministic sims, headless compute). GUI/interop demos must omit the flag.
luisa_compute_add_example(example_path_tracing rendering/path_tracing.cpp MIRROR_AS_TEST)
luisa_compute_add_example(example_swapchain_qt gui/swapchain_qt.cpp) # no mirrorluisa_example_pair_link(name <link-args>)Companion to luisa_compute_add_example. Calls target_link_libraries on both example_<name> and its test_<name> mirror (if any). Use whenever an example needs extra libs.
luisa_compute_add_example(example_cuda_lcub extension/cuda_lcub.cpp MIRROR_AS_TEST)
luisa_example_pair_link(example_cuda_lcub PRIVATE CUDA::cudart CUDA::cuda_driver)Backends built as MODULE (runtime-loadable shared libs):
luisa_compute_add_backend(cuda SOURCES ${LUISA_COMPUTE_CUDA_SOURCES})Key: output renamed to luisa-backend-<name>, installed to bin/, supports luisa_embed_device_lib for builtin device libs.
File: src/rust/CMakeLists.txt
Rust support is auto-enabled when a Rust toolchain is found (unless LUISA_COMPUTE_ENABLE_RUST=OFF is passed); the CPU and Remote backends require it. The custom command invokes cargo build (profile: dev for Debug, release for Release). CMake targets:
luisa-compute-rust-meta (INTERFACE): static Rust libsluisa_compute_backend_impl (INTERFACE): shared Rust backendEach src/ext/<lib>/:
if (LUISA_COMPUTE_USE_SYSTEM_<LIB>)
find_package(<LIB> REQUIRED)
target_link_libraries(luisa-compute-ext INTERFACE <target>)
target_compile_definitions(luisa-compute-ext INTERFACE LUISA_USE_SYSTEM_<LIB>=1)
else()
add_subdirectory(<lib>)
target_link_libraries(luisa-compute-ext INTERFACE <target>)
luisa_compute_install_extension(<target> ...)
endif()${CMAKE_BINARY_DIR}/bin → Runtime outputs (DLLs, executables)
${CMAKE_BINARY_DIR}/lib → Archive outputs (static libs, PDBs)@loader_path, @loader_path/../bin, @loader_path/../lib$ORIGIN, $ORIGIN/../bin, $ORIGIN/../lib© LuisaGroup, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .agents/skills/cmake of LuisaGroup/LuisaCompute.
Open the folder on GitHubat commit 0c84a1a
Cmake next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Cmake this skillLuisaGroup/LuisaCompute | 1.1k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| Developing Softwaretelagod/code-abyss | 243 | — | ~410 | Automated safety check: Pass | MIT | |
| Cppcrazyguitar/cppcheatsheet | 290 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Readable Cppcrazyguitar/cppcheatsheet | 290 | — | ~6.4k | Automated safety check: Pass | MIT | |
| Feynman Auditor0xiehnnkta/nemesis-auditor | 243 | 1 repos | ~11k | Automated safety check: Pass | MIT | |
| Subspace Clientsdallison/subspace | 104 | — | ~2.4k | Automated safety check: Pass | Apache-2.0 |
telagod/code-abyss
Software development knowledge reference covering Python, Go, Rust, TypeScript, Java, C++, and Shell.
crazyguitar/cppcheatsheet
Comprehensive C/C++ programming reference covering everything from C11-C23 and C++11-C++23, system programming, CUDA GPU computing, debugging tools, Rust interop, and advanced topics.
crazyguitar/cppcheatsheet
Readable C/C++/Rust/CUDA code rules inspired by The Art of Readable Code.
0xiehnnkta/nemesis-auditor
Deep business logic bug finder using the Feynman technique. An agent skill from 0xiehnnkta/nemesis-auditor.
dallison/subspace
Write Subspace clients in C++, Python, Rust, or Java. An agent skill from dallison/subspace.
alirezarezvani/claude-skills
A skill your agent uses when the user says 'build me an app', 'create a project from this spec', 'scaffold a new repo', 'generate a starter', 'turn this idea into code', 'bootstrap a project', 'I…
LuisaGroup/LuisaCompute
Show uncommitted changes and commit history via git. An agent skill from LuisaGroup/LuisaCompute.
LuisaGroup/LuisaCompute
Manual AST construction with FunctionBuilder for kernels and callables without DSL sugar.
LuisaGroup/LuisaCompute
C++ naming, formatting, static analysis, and RTTI rules for LuisaCompute.
LuisaGroup/LuisaCompute
Debug crashes and test failures via stack-traces, host/device logging, and DSL buffer inspection.
LuisaGroup/LuisaCompute
HLSL code generation, StringBuilder patterns, builtin headers, and DXIL embedding.
LuisaGroup/LuisaCompute
Experimental Vulkan AST-to-LLVM-to-SPIR-V backend, its fail-closed runtime-interface boundary, LLVM build integration, and validation path.
Categories
CMake build options, custom functions, and backend patterns for LuisaCompute. Cmake is an agent skill from LuisaGroup/LuisaCompute. CMake build options, custom functions, and backend patterns for LuisaCompute.
Cmake fits situations like: tasks that involve Backend development.
Run `npx skills add LuisaGroup/LuisaCompute --skill cmake -a claude-code`. Or copy the skill folder (.agents/skills/cmake in LuisaGroup/LuisaCompute) into .claude/skills/cmake in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LuisaGroup/LuisaCompute --skill cmake -a codex`. Or copy the skill folder (.agents/skills/cmake in LuisaGroup/LuisaCompute) into .agents/skills/cmake in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LuisaGroup/LuisaCompute --skill cmake -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cmake, .gemini/skills/cmake, .github/skills/cmake and .opencode/skills/cmake in your project.
Going by SKILL.md and its folder, Cmake needs the command-line tools its instructions call (python, cmake, xcrun and cargo). Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Cmake is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.4k tokens (SKILL.md is roughly 9.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Cmake: Developing Software (telagod/code-abyss, 243 stars), Cpp (crazyguitar/cppcheatsheet, 290 stars), Readable Cpp (crazyguitar/cppcheatsheet, 290 stars) and Feynman Auditor (0xiehnnkta/nemesis-auditor, 243 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
LuisaGroup (a GitHub organization) maintains it in LuisaGroup/LuisaCompute, which has 1,051 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on October 8, 2026.
Source: LuisaGroup/LuisaCompute on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.