Analyze and reduce ExecuTorch binary size using CMake, nm, strings, and bloaty.
npx skills add https://github.com/Msabih/executorch --skill binary-size-msabih
Please help me install this Agent Skill. Skill: binary-size Source: https://github.com/Msabih/executorch/tree/main/.claude/skills/binary-size Command: npx skills add https://github.com/Msabih/executorch --skill binary-size-msabih
Analyze and reduce ExecuTorch binary size to enable deployment on constrained devices and to streamline build artifacts.
Start from a clean build, then compare stripped and unstripped binaries to establish a baseline.
High-intent search queries and answers about installing and using this skill.
Reduce ExecuTorch binary size by applying size-focused build workflows, such as using CMake with CMAKE_BUILD_TYPE=Release and EXECUTORCH_OPTIMIZE_SIZE=ON, to streamline artifacts for constrained device deployments.
Analyze binary size contributors using standard utilities like nm, strings, and bloaty to pinpoint large sections such as .text and .rodata, enabling targeted optimization of the ExecuTorch binary footprint.
Establish a baseline measurement for binary footprint optimization by starting from a clean build, then comparing stripped and unstripped binaries to identify initial size contributors before applying optimizations.
Yes, you can use CMake build settings to optimize ExecuTorch binary size by enforcing size-focused requirements, specifically configuring CMAKE_BUILD_TYPE=Release alongside EXECUTORCH_OPTIMIZE_SIZE=ON.
Identify large contributors in .text and .rodata sections by applying size-focused compiler and linker settings after using bloaty and nm utilities to analyze and pinpoint the exact size contributors within the binary.
Strip binaries for size-critical build workflows when deploying to devices with tight storage and memory constraints, comparing stripped and unstripped outputs to measure the actual footprint reduction achieved.
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