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Clang

  • 405 installs
  • 155 repo stars
  • Updated June 27, 2026
  • mohitmishra786/low-level-dev-skills

clang is a Claude Code low-level development skill that configures clang and clang++ compiler flags, sanitizers, cross-compilation targets, and static analysis for C/C++ components linked into Rust or native tooling pipe

About

clang is a skill from mohitmishra786/low-level-dev-skills for developers working at the C/C++ and Rust boundary. It guides clang and clang++ flag selection, AddressSanitizer and UndefinedBehaviorSanitizer setup, cross-compilation triples, and clang-static-analyzer workflows when building native libraries consumed by Rust crates or standalone CLI tools. Developers reach for clang when CI builds fail on warning policies, sanitizer crashes need triage, or embedded targets require non-default toolchains. The skill focuses on compiler invocation and analysis configuration rather than rewriting application logic, making it a reference for build scripts, CMake presets, and cargo build integration with native dependencies.

  • Warning and optimization flags
  • Sanitizer instrumentation
  • Cross-compilation triples
  • Static analysis hooks
  • Rust FFI compile steps

Clang by the numbers

  • 405 all-time installs (skills.sh)
  • +29 installs in the week ending Aug 4, 2026 (Skillselion tracking)
  • Ranked #137 of 550 CLI & Terminal skills by installs in the Skillselion catalog
  • Data as of Aug 4, 2026 (Skillselion catalog sync)
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Installs405
repo stars155
Last updatedJune 27, 2026
Repositorymohitmishra786/low-level-dev-skills

How do you configure clang sanitizers for C++ builds?

Configure clang/clang++ flags, sanitizers, cross-compilation, and static analysis for C/C++ components linked into Rust or native tooling pipelines.

Who is it for?

Developers linking C/C++ into Rust crates or native CLI tools who need correct sanitizer, cross-compile, and static-analysis compiler flags.

Skip if: Developers working only in high-level languages without native C/C++ compilation or clang-based toolchain requirements.

When should I use this skill?

A user asks to set clang flags, enable ASan or UBSan, cross-compile C/C++, or run clang static analysis on native code.

What you get

clang/clang++ compile commands with sanitizer flags, cross-compilation settings, and static-analysis invocation ready for CI or local builds.

  • Compiler flag configurations
  • Sanitizer-enabled build commands

Files

SKILL.mdMarkdownGitHub ↗

Clang

Purpose

Guide agents through Clang-specific features: superior diagnostics, sanitizer integration, optimization remarks, static analysis, and LLVM tooling. Covers divergences from GCC and Apple/FreeBSD specifics.

Triggers

  • "I want better compiler diagnostics/errors"
  • "How do I use clang-tidy / clang-format?"
  • "How do I see what the compiler optimised or didn't?"
  • "I'm on macOS / FreeBSD using clang"
  • "clang-cl for MSVC-compatible builds" — see skills/compilers/msvc-cl
  • Sanitizer queries — see skills/runtimes/sanitizers

Workflow

1. Build mode flags (identical to GCC)

Clang accepts most GCC flags. Key differences:

FeatureGCCClang
Min size-Os-Os or -Oz (more aggressive)
Optimise only hot-fprofile-instr-use (LLVM PGO)
Thin LTO-flto-flto=thin (faster)
Static analyser-fanalyzerclang --analyze or clang-tidy

2. Clang-specific diagnostic flags

# Show fix-it hints inline
clang -Wall -Wextra --show-fixits src.c

# Limit error count
clang -ferror-limit=5 src.c

# Verbose template errors (disable elision)
clang -fno-elide-type src.cpp

# Show tree diff for template mismatch
clang -fdiagnostics-show-template-tree src.cpp

Clang's diagnostics include exact range highlighting and fix-it suggestions that GCC lacks.

3. Optimization remarks

Optimization remarks let you see what Clang did or refused to do:

# Inliner decisions
clang -O2 -Rpass=inline src.c

# Missed vectorisation
clang -O2 -Rpass-missed=loop-vectorize src.c

# Why a loop was not vectorized
clang -O2 -Rpass-analysis=loop-vectorize src.c

# Save all remarks to YAML for post-processing
clang -O2 -fsave-optimization-record src.c
# Produces src.opt.yaml

Interpret remarks:

  • remark: foo inlined into bar — inlining happened; good for hot paths
  • remark: loop not vectorized: loop control flow is not understood — restructure the loop
  • remark: not vectorized: cannot prove it is safe to reorder... — add __restrict__ or #pragma clang loop vectorize(assume_safety)

4. Static analysis

# Built-in analyser (CSA)
clang --analyze -Xanalyzer -analyzer-output=text src.c

# clang-tidy (separate tool, richer checks)
clang-tidy src.c -- -std=c++17 -I/usr/include

# Enable specific check families
clang-tidy -checks='clang-analyzer-*,modernize-*,bugprone-*' src.cpp --

# Apply fixits automatically
clang-tidy -fix src.cpp --

Common clang-tidy check families:

  • bugprone-*: real bugs (use-after-move, dangling, etc.)
  • clang-analyzer-*: CSA checks (memory, null deref)
  • modernize-*: C++11/14/17 modernisation
  • performance-*: unnecessary copies, move candidates
  • readability-*: naming, complexity

5. LTO with lld

# Full LTO
clang -O2 -flto -fuse-ld=lld src.c -o prog

# Thin LTO (faster link, nearly same quality)
clang -O2 -flto=thin -fuse-ld=lld src.c -o prog

# Check lld is available
clang -fuse-ld=lld -Wl,--version 2>&1 | head -1

For large projects, ThinLTO is preferred: link times 5-10x faster than full LTO with comparable code quality.

6. PGO (LLVM instrumentation)

# Step 1: instrument
clang -O2 -fprofile-instr-generate prog.c -o prog_inst

# Step 2: run with representative input
./prog_inst < workload.input
# Generates default.profraw

# Step 3: merge profiles
llvm-profdata merge -output=prog.profdata default.profraw

# Step 4: use profile
clang -O2 -fprofile-instr-use=prog.profdata prog.c -o prog

AutoFDO (sampling-based, less intrusive): collect with perf, convert with create_llvm_prof, use with -fprofile-sample-use. See skills/profilers/linux-perf.

7. GCC compatibility

Clang is intentionally GCC-compatible for driver flags. Key differences:

  • Clang does not support all GCC-specific attributes; check with __has_attribute(foo)
  • -Weverything enables all Clang warnings (no GCC equivalent); too noisy for production, useful for one-off audits
  • Some GCC intrinsics need #include <x86intrin.h> on Clang too
  • __int128 is supported; __float128 requires -lquadmath on some targets

8. macOS specifics

On macOS, clang is the system compiler (Apple LLVM). Key points:

  • ld64 is the default linker; lld requires explicit -fuse-ld=lld and Homebrew LLVM
  • Use -mmacosx-version-min=X.Y to set deployment target
  • Sanitizers on macOS use DYLD_INSERT_LIBRARIES; do not strip the binary
  • xcrun clang resolves to the Xcode toolchain clang

For flag reference, see references/flags.md. For clang-tidy config examples, see references/clang-tidy.md.

Related skills

  • Use skills/compilers/gcc for GCC-equivalent flag mapping
  • Use skills/runtimes/sanitizers for -fsanitize=* workflows
  • Use skills/compilers/llvm for IR-level work (opt, llc, llvm-dis)
  • Use skills/compilers/msvc-cl for clang-cl on Windows
  • Use skills/binaries/linkers-lto for linker-level LTO details

Related skills

FAQ

What does the clang skill configure?

The clang skill configures clang and clang++ compiler flags, sanitizers like ASan and UBSan, cross-compilation targets, and static analysis for C/C++ components. Developers use it when native code links into Rust crates or standalone tooling pipelines.

When should developers use clang over generic C++ help?

Developers should use the clang skill when builds need specific clang sanitizer flags, cross-compilation triples, or clang-static-analyzer integration—not for general application logic written only in Rust or Python without native compilation.

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