rust-profiling

Rust profiling skill for performance analysis. Use when generating flamegraphs from Rust binaries, measuring monomorphization bloat with cargo-llvm-lines, analysing binary size with cargo-bloat, microbenchmarking with Criterion, or interpreting inlined frames in profiles. Activates on queries about cargo flamegraph, cargo-bloat, cargo-llvm-lines, Criterion benchmarks, Rust performance profiling, or binary size analysis.

mohitmishra786/low-level-dev-skills396 installsMITSynced Aug 26

Works with

Claude CodeCursorCodex CLIGitHub CopilotGemini CLI
---
name: rust-profiling
description: Rust profiling skill for performance analysis. Use when generating flamegraphs from Rust binaries, measuring monomorphization bloat with cargo-llvm-lines, analysing binary size with cargo-bloat, microbenchmarking with Criterion, or interpreting inlined frames in profiles. Activates on queries about cargo flamegraph, cargo-bloat, cargo-llvm-lines, Criterion benchmarks, Rust performance profiling, or binary size analysis.
license: MIT
---

# Rust Profiling

## Purpose

Guide agents through Rust performance profiling: flamegraphs via cargo-flamegraph, binary size analysis, monomorphization bloat measurement, Criterion microbenchmarks, and interpreting profiling results with inlined Rust frames.

## Triggers

- "How do I generate a flamegraph for a Rust program?"
- "My Rust binary is huge — how do I find what's causing it?"
- "How do I write Criterion benchmarks?"
- "How do I measure monomorphization bloat?"
- "Rust performance is worse than expected — how do I profile it?"
- "How do I use perf with Rust?"

## Workflow

### 1. Build for profiling

```bash
# Release with debug symbols (needed for readable profiles)
# Cargo.toml:
[profile.release-with-debug]
inherits = "release"
debug = true

cargo build --profile release-with-debug

# Or quick: release + debug info inline
CARGO_PROFILE_RELEASE_DEBUG=true cargo build --release
```

### 2. Flamegraphs with cargo-flamegraph

```bash
# Install
cargo install flamegraph

# Linux: uses perf (requires perf_event_paranoid ≤ 1)
sudo sh -c 'echo 1 > /proc/sys/kernel/perf_event_paranoid'
cargo flamegraph --bin myapp -- arg1 arg2

# macOS: uses DTrace (requires sudo)
sudo cargo flamegraph --bin myapp -- arg1 arg2

# Profile tests
cargo flamegraph --test mytest -- test_filter

# Profile benchmarks
cargo flamegraph --bench mybench -- --bench

# Output
# Generates flamegraph.svg in current directory
# Open in browser: firefox flamegraph.svg
```

Custom flamegraph options:
```bash
# More samples
cargo flamegraph --freq 1000 --bin myapp

# Filter to specific threads
cargo flamegraph --bin myapp -- args 2>/dev/null

# Using perf directly for more control
perf record -g -F 999 ./target/release-with-debug/myapp args
perf script | stackcollapse-perf.pl | flamegraph.pl > out.svg
```

### 3. Binary size analysis with cargo-bloat

```bash
# Install
cargo install cargo-bloat

# Show top functions by size
cargo bloat --release -n 20

# Show per-crate size breakdown
cargo bloat --release --crates

# Include only specific crate
cargo bloat --release --filter myapp

# Compare before/after a change
cargo bloat --release --crates > before.txt
# make changes
cargo bloat --release --crates > after.txt
diff before.txt after.txt
```

Typical output:
```
 File  .text    Size    Crate Name
 2.4%   3.0% 47.0KiB      std <std macros>
 1.8%   2.3% 35.5KiB   myapp myapp::heavy_module::process
 1.2%   1.5% 23.1KiB    serde serde::de::...
```

### 4. Monomorphization bloat with cargo-llvm-lines

```bash
# Install
cargo install cargo-llvm-lines

# Show LLVM IR line counts (proxy for monomorphization)
cargo llvm-lines --release | head -40

# Filter to your crate only
cargo llvm-lines --release | grep '^myapp'
```

Typical output:
```
   Lines      Copies  Function name
   85330           1  [LLVM passes]
    7761          92  core::fmt::write
    4672          11  myapp::process::<impl MyTrait for T>
    3201          47  <alloc::vec::Vec<T> as core::ops::Drop>::drop
```

High `Copies` count = monomorphization expansion. Fix:
```rust
// Before: generic, gets monomorphized for every T
fn process<T: AsRef<[u8]>>(data: T) -> usize {
    do_work(data.as_ref())
}

// After: thin generic wrapper + concrete inner
fn process<T: AsRef<[u8]>>(data: T) -> usize {
    fn inner(data: &[u8]) -> usize { do_work(data) }
    inner(data.as_ref())
}
```

### 5. Criterion microbenchmarks

```toml
# Cargo.toml
[dev-dependencies]
criterion = { version = "0.5", features = ["html_reports"] }

[[bench]]
name = "my_bench"
harness = false
```

```rust
// benches/my_bench.rs
use criterion::{black_box, criterion_group, criterion_main, Criterion, BenchmarkId};

fn bench_process(c: &mut Criterion) {
    // Simple benchmark
    c.bench_function("process 1000 items", |b| {
        let data: Vec<i32> = (0..1000).collect();
        b.iter(|| process(black_box(&data)))  // black_box prevents optimization
    });
}

fn bench_sizes(c: &mut Criterion) {
    let mut group = c.benchmark_group("process_sizes");

    for size in [100, 1000, 10000].iter() {
        let data: Vec<i32> = (0..*size).collect();
        group.bench_with_input(
            BenchmarkId::from_parameter(size),
            &data,
            |b, data| b.iter(|| process(black_box(data))),
        );
    }
    group.finish();
}

criterion_group!(benches, bench_process, bench_sizes);
criterion_main!(benches);
```

```bash
# Run all benchmarks
cargo bench

# Run specific benchmark
cargo bench --bench my_bench

# Run with filter
cargo bench -- process_sizes

# Compare with baseline (save/load)
cargo bench -- --save-baseline before
# make changes
cargo bench -- --baseline before

# View HTML report
open target/criterion/report/index.html
```

### 6. perf with Rust (Linux)

```bash
# Record
perf record -g ./target/release-with-debug/myapp args
perf record -g -F 999 ./target/release-with-debug/myapp args  # higher freq

# Report
perf report                     # interactive TUI
perf report --stdio --no-call-graph | head -40   # text

# Annotate specific function
perf annotate myapp::hot_function

# stat (quick counters)
perf stat ./target/release/myapp args
```

Rust-specific perf tips:
- Build with `debug = 1` (line tables only) for faster builds with line-level attribution
- Use `RUSTFLAGS="-C force-frame-pointers=yes"` for better call graphs without DWARF unwinding
- Disable ASLR for reproducible addresses: `setarch $(uname -m) -R ./myapp`

### 7. heaptrack / DHAT for allocations

```bash
# heaptrack (Linux)
heaptrack ./target/release/myapp args
heaptrack_print heaptrack.myapp.*.zst | head -50

# DHAT via Valgrind
valgrind --tool=dhat ./target/debug/myapp args
# Open dhat-out.* with dh_view.html
```

For flamegraph setup and Criterion configuration, see [references/cargo-flamegraph-setup.md](references/cargo-flamegraph-setup.md).

## Related skills

- Use `skills/rust/rustc-basics` for build configuration (debug symbols, profiles)
- Use `skills/profilers/linux-perf` for perf fundamentals
- Use `skills/profilers/flamegraphs` for reading and interpreting flamegraph SVGs
- Use `skills/profilers/valgrind` for allocation profiling with massif/DHAT

More Performance skills

seo-audit

coreyhaines31/marketingskills

When the user wants to audit, review, or diagnose SEO issues on their site. Also use when the user mentions "SEO audit," "technical SEO," "why am I not ranking," "SEO issues," "on-page SEO," "meta tags review," "SEO health check," "my traffic dropped," "lost rankings," "not showing up in Google," "site isn't ranking," "Google update hit me," "page speed," "core web vitals," "crawl errors," or "indexing issues." Use this even if the user just says something vague like "my SEO is bad" or "help with SEO" — start with an audit. For building pages at scale to target keywords, see programmatic-seo. For adding structured data, see schema. For AI search optimization, see ai-seo.

195.1k

competitor-profiling

coreyhaines31/marketingskills

When the user wants to research, profile, or analyze competitors from their URLs. Also use when the user mentions 'competitor profile,' 'competitor research,' 'competitor analysis,' 'profile this competitor,' 'analyze competitor,' 'competitive intelligence,' 'competitor deep dive,' 'who are my competitors,' 'competitor landscape,' 'competitor dossier,' 'competitive audit,' or 'research these competitors.' Input is a list of competitor URLs. Output is structured competitor profile markdown files. For creating comparison/alternative pages from profiles, see competitors. For sales-specific battle cards, see sales-enablement.

65.8k

vercel-optimize

vercel-labs/agent-skills

Use for Vercel cost and performance optimization on deployed projects, especially Next.js, SvelteKit, Nuxt, and limited Astro apps. Collect Vercel metrics, usage, project config, and code scan results first; investigate only metric-backed candidates; produce ranked recommendations grounded in verified files and version-aware Vercel/framework docs. Trigger for Vercel bill reduction, slow or expensive routes, caching opportunities, Function Invocations, Build Minutes, Fast Data Transfer, Core Web Vitals, Bot Management, Fluid compute, or cost breakdown requests.

59.3k

← All Performance skills

Check your AI visibility

One URL in, a 0–100 score and the exact fixes out.

RUN THE CHECK

Browse all the tools

15 tools across six categories
13 of them never send your data anywhere

Free · No signup · No trial clock

SEE THE DIRECTORY