Samply
vortex-data/vortex
Analyze Samply Firefox-profiler output, record focused profiles, summarize hot threads/stacks, inspect symbolication, and compare profile evidence before and after a performance change.
Rust profiling skill for performance analysis. An agent skill from diodeme/Gold-Band.
$ npx skills add diodeme/Gold-Band --skill rust-profiling -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install diodeme/Gold-Band rust-profiling --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/diodeme/Gold-Band.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/rust-profiling .claude/skills/rust-profiling && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "rust-profiling" agent skill from https://github.com/diodeme/Gold-Band/tree/main/.agents/skills/rust-profiling into .claude/skills/rust-profiling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rust-profiling", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/diodeme/Gold-Band/tree/main/.agents/skills/rust-profilingType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add diodeme/Gold-Band --skill rust-profiling -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install diodeme/Gold-Band rust-profiling --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/diodeme/Gold-Band.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/rust-profiling .agents/skills/rust-profiling && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "rust-profiling" agent skill from https://github.com/diodeme/Gold-Band/tree/main/.agents/skills/rust-profiling into .agents/skills/rust-profiling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rust-profiling", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add diodeme/Gold-Band --skill rust-profiling -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install diodeme/Gold-Band rust-profiling --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/diodeme/Gold-Band.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/rust-profiling .cursor/skills/rust-profiling && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "rust-profiling" agent skill from https://github.com/diodeme/Gold-Band/tree/main/.agents/skills/rust-profiling into .cursor/skills/rust-profiling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rust-profiling", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/diodeme/Gold-Band.git --path .agents/skills/rust-profiling--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add diodeme/Gold-Band --skill rust-profiling -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install diodeme/Gold-Band rust-profiling --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/diodeme/Gold-Band.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/rust-profiling .gemini/skills/rust-profiling && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "rust-profiling" agent skill from https://github.com/diodeme/Gold-Band/tree/main/.agents/skills/rust-profiling into .gemini/skills/rust-profiling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rust-profiling", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install diodeme/Gold-Band rust-profilingInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add diodeme/Gold-Band --skill rust-profiling -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/diodeme/Gold-Band.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/rust-profiling .github/skills/rust-profiling && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "rust-profiling" agent skill from https://github.com/diodeme/Gold-Band/tree/main/.agents/skills/rust-profiling into .github/skills/rust-profiling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rust-profiling", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add diodeme/Gold-Band --skill rust-profiling -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install diodeme/Gold-Band rust-profiling --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/diodeme/Gold-Band.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/rust-profiling .opencode/skills/rust-profiling && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "rust-profiling" agent skill from https://github.com/diodeme/Gold-Band/tree/main/.agents/skills/rust-profiling into .opencode/skills/rust-profiling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rust-profiling", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
rust-profilingRust profiling skill for performance analysis. An agent skill from diodeme/Gold-Band.
Rust Profiling is an agent skill from diodeme/Gold-Band. 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.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/cargo-flamegraph-setup.md`).
It sits in Development, covering Performance optimization. It works with Rust. The repository describes itself as: Desktop app for harness engineering, loop engineering, graph engineering—and whatever comes next in local AI-agent workflows. The licence is AGPL-3.0.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 75622ac. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
cargoshFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Rust Profiling loads about 1.7k tokens when it runs, and up to ~2.9k if it reads all its reference files. Until then it costs about 110 tokens; SKILL.md has 201 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
sudo sh -c 'echo 1 > /proc/sys/kernel/perf_event_paranoid'sudo cargo flamegraph --bin myapp -- arg1 arg2Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from diodeme/Gold-Band at commit 75622ac, republished under its AGPL-3.0 licence (© diodeme). 201 words, ~1,655 tokens.
.claude/skills/rust-profiling/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.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.
# 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# 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.svgCustom flamegraph options:
# 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# 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.txtTypical 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::...# 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>::dropHigh Copies count = monomorphization expansion. Fix:
// 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())
}# Cargo.toml
[dev-dependencies]
criterion = { version = "0.5", features = ["html_reports"] }
[[bench]]
name = "my_bench"
harness = false// 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);# 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# 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 argsRust-specific perf tips:
debug = 1 (line tables only) for faster builds with line-level attributionRUSTFLAGS="-C force-frame-pointers=yes" for better call graphs without DWARF unwindingsetarch $(uname -m) -R ./myapp# 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.htmlFor flamegraph setup and Criterion configuration, see references/cargo-flamegraph-setup.md.
skills/rust/rustc-basics for build configuration (debug symbols, profiles)skills/profilers/linux-perf for perf fundamentalsskills/profilers/flamegraphs for reading and interpreting flamegraph SVGsskills/profilers/valgrind for allocation profiling with massif/DHAT© diodeme, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (references) in .agents/skills/rust-profiling of diodeme/Gold-Band.
Open the folder on GitHubat commit 75622ac
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in diodeme/Gold-Band, which our catalogue first saw on October 7, 2026.
Rust Profiling next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Rust Profiling this skilldiodeme/Gold-Band | 143 | 1 repos | ~1.7k | Automated safety check: Notes | AGPL-3.0 | |
| Samplyvortex-data/vortex | 3.2k | — | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| Investigate User Bugcristicretu/diri | 424 | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Cppcrazyguitar/cppcheatsheet | 290 | — | ~1.8k | Automated safety check: Pass | MIT | |
| ProfilingShopify/rubydex | 363 | — | ~2.3k | Automated safety check: Notes | Custom licence | |
| Oxc Lint Rule Performance Reviewoxc-project/oxc | 23k | — | ~1.1k | Automated safety check: Pass | MIT |
vortex-data/vortex
Analyze Samply Firefox-profiler output, record focused profiles, summarize hot threads/stacks, inspect symbolication, and compare profile evidence before and after a performance change.
cristicretu/diri
Investigate a bug a specific diri user hit (crash, hang, slowness, memory leak, blank or garbled terminal, spawn/resume/remote failure, copy/paste not working) from diri's telemetry with the…
crazyguitar/cppcheatsheet
Comprehensive C/C++ programming reference covering everything from C11-C23 and C++11-C++23, system programming, CUDA GPU computing, debugging tools, Rust interop, and advanced topics.
Shopify/rubydex
Profile Rubydex indexer performance — CPU flamegraphs, memory usage, phase-level timing.
oxc-project/oxc
Review guidance for the speed of Oxc linter rules written in Rust: narrow node-kind checks, cheap tests first, deferred diagnostics and the smallest possible iteration.
wado-lang/wado
Profile the native Rust wado binary (compile/serve/run) for host-side bottlenecks — CPU with a sampling profiler, memory with the span trace's RSS and valgrind DHAT.
diodeme/Gold-Band
Master Rust async programming with Tokio, async traits, error handling, and concurrent patterns.
diodeme/Gold-Band
Diagnoses and resolves memory leaks in JavaScript/Node.js applications.
diodeme/Gold-Band
Create and localize user-facing release notes from an explicit Git change range.
diodeme/Gold-Band
Prepare, review, publish, or update a complete GitHub pull request for the current repository, including local commit readiness, safe push strategy, semantic title validation, repository-native PR…
diodeme/Gold-Band
Unified entry point for Stitch design work. An agent skill from diodeme/Gold-Band.
diodeme/Gold-Band
Audit code for memory leaks and disposable issues. An agent skill from diodeme/Gold-Band.
Works with
Categories
Rust profiling skill for performance analysis. An agent skill from diodeme/Gold-Band. Rust Profiling is an agent skill from diodeme/Gold-Band. Rust profiling skill for performance analysis.
Rust Profiling fits situations like: generating flamegraphs from Rust binaries; measuring monomorphization bloat with cargo-llvm-lines; analysing binary size with cargo-bloat; microbenchmarking with Criterion.
Run `npx skills add diodeme/Gold-Band --skill rust-profiling -a claude-code`. Or copy the skill folder (.agents/skills/rust-profiling in diodeme/Gold-Band) into .claude/skills/rust-profiling in your project. Claude Code loads it when a task matches its description.
Run `npx skills add diodeme/Gold-Band --skill rust-profiling -a codex`. Or copy the skill folder (.agents/skills/rust-profiling in diodeme/Gold-Band) into .agents/skills/rust-profiling in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add diodeme/Gold-Band --skill rust-profiling -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/rust-profiling, .gemini/skills/rust-profiling, .github/skills/rust-profiling and .opencode/skills/rust-profiling in your project.
Going by SKILL.md and its folder, Rust Profiling needs the command-line tools its instructions call (cargo and sh).
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (runs commands with sudo), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Rust Profiling is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.2k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Rust Profiling: Samply (vortex-data/vortex, 3.2k stars), Investigate User Bug (cristicretu/diri, 424 stars), Cpp (crazyguitar/cppcheatsheet, 290 stars) and Profiling (Shopify/rubydex, 363 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
diodeme (a GitHub user) maintains it in diodeme/Gold-Band, which has 143 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on September 30, 2026.
Source: diodeme/Gold-Band on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.