agentleFS
mohitmishra786mohitmishra786/low-level-dev-skills/skills/compilers/clang/SKILL.md

clang

Skill290 starsChanged 7 months agoMITView on GitHub

Clang/LLVM compiler skill for C/C++ projects. Use when working with clang or clang++ for diagnostics, sanitizer instrumentation, optimization remarks, static analysis with clang-tidy, LTO via lld, or when migrating from GCC to Clang. Activates on queries about clang flags, clang-tidy, clang-format, better error messages, Apple/FreeBSD toolchains, or LLVM-specific optimizations. Covers flag selection, diagnostic tuning, and integration with LLVM tooling.

The file

We split this skill into the rules it gives an agent

6 rules. About 0 are common, 0 are distinctive, and 6 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈0

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 6

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Use -mmacosx-version-min=X.Y to set deployment target

    line 149
  2. Very specific:

    Use skills/compilers/gcc for GCC-equivalent flag mapping

    line 158
  3. Very specific:

    Use skills/runtimes/sanitizers for -fsanitize=* workflows

    line 159
  4. Very specific:

    Use skills/compilers/llvm for IR-level work (opt, llc, llvm-dis)

    line 160
  5. Very specific:

    Use skills/compilers/msvc-cl for clang-cl on Windows

    line 161
  6. Very specific:

    Use skills/binaries/linkers-lto for linker-level LTO details

    line 162

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.