Summary
When you need to squeeze more out of Clang than just dropping in GCC flags, this walks you through the LLVM-specific tooling that actually matters: optimization remarks that show you why loops didn't vectorize, clang-tidy for real static analysis, ThinLTO for sane link times on big codebases, and those superior diagnostics with fix-it hints. Covers the PGO workflow with llvm-profdata, flags like -Oz and -Rpass-missed, and the macOS/FreeBSD quirks where Clang is the system compiler. Honest take: if you're still just using -O2 -Wall, you're leaving a lot on the table.
Install to Claude Code
npx -y skills add mohitmishra786/low-level-dev-skills --skill clang --agent claude-codeInstalls into .claude/skills of the current project.
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Files
SKILL.md
Select a file.
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
