Skip to content
Development
Skill

/performance

CLI performance optimization - startup time, memory usage, token savings benchmarking

From plugin
rtk
86k12 skills6 agents13 commands

Claude Code

$ npx -y skills add rtk-ai/rtk --skill performance --agent claude-code

SKILL.md

performance.SKILL.md
description: CLI performance optimization - startup time, memory usage, token savings benchmarking

Performance Optimization Skill

Systematic performance analysis and optimization for RTK CLI tool, focusing on **startup time (<10ms)**, **memory usage (<5MB)**, and **token savings (≥20% floor)**.

When to Use

  • **Automatically triggered**: After filter changes, regex modifications, or dependency additions
  • **Manual invocation**: When performance degradation suspected or before release
  • **Proactive**: After any code change that could impact startup time or memory

RTK Performance Targets

| Metric | Target | Verification Method | Failure Threshold | |--------|--------|---------------------|-------------------| | **Startup time** | <10ms | `hyperfine 'rtk <cmd>'` | >15ms = blocker | | **Memory usage** | <5MB resident | `/usr/bin/time -l rtk <cmd>` (macOS) | >7MB = blocker | | **Token savings** | ≥20% floor | Tests with `count_tokens()` | <20% = blocker | | **Binary size** | <5MB stripped | `ls -lh target/release/rtk` | >8MB = investigate |

Performance Analysis Workflow

1. Establish Baseline

Before making any changes, capture current performance:

# Startup time baseline
hyperfine 'rtk git status' --warmup 3 --export-json /tmp/baseline_startup.json

# Memory usage baseline (macOS)
/usr/bin/time -l rtk git status 2>&1 | grep "maximum resident set size" > /tmp/baseline_memory.txt

# Memory usage baseline (Linux)
/usr/bin/time -v rtk git status 2>&1 | grep "Maximum resident set size" > /tmp/baseline_memory.txt

# Binary size baseline
ls -lh target/release/rtk | tee /tmp/baseline_binary_size.txt

2. Make Changes

Implement optimization or feature changes.

3. Rebuild and Measure

# Rebuild with optimizations
cargo build --release

# Measure startup time
hyperfine 'target/release/rtk git status' --warmup 3 --export-json /tmp/after_startup.json

# Measure memory usage
/usr/bin/time -l target/release/rtk git status 2>&1 | grep "maximum resident set size" > /tmp/after_memory.txt

# Check binary size
ls -lh target/release/rtk | tee /tmp/after_binary_size.txt

4. Compare Results

# Startup time comparison
hyperfine 'rtk git status' 'target/release/rtk git status' --warmup 3

# Example output:
#   Benchmark 1: rtk git status
#     Time (mean ± σ):       6.2 ms ±   0.3 ms    [User: 4.1 ms, System: 1.8 ms]
#   Benchmark 2: target/release/rtk git status
#     Time (mean ± σ):       7.8 ms ±   0.4 ms    [User: 5.2 ms, System: 2.1 ms]
#
#   Summary
#     'rtk git status' ran 1.26 times faster than 'target/release/rtk git status'

# Memory comparison
diff /tmp/baseline_memory.txt /tmp/after_memory.txt

# Binary size comparison
diff /tmp/baseline_binary_size.txt /tmp/after_binary_size.txt

5. Identify Regressions

**Startup time regression** (>15% increase or >2ms absolute):

# Profile with flamegraph
cargo install flamegraph
cargo flamegraph -- target/release/rtk git status

# Open flamegraph.svg
open flamegraph.svg
# Look for:
# - Repeated fixed-regex compilation (should be in LazyLock init)
# - Excessive allocations
# - File I/O on startup (should be zero)

**Memory regression** (>20% increase or >1MB absolute):

# Profile allocations (requires nightly)
cargo +nightly build --release -Z build-std
RUSTFLAGS="-C link-arg=-fuse-ld=lld" cargo +nightly build --release

# Use DHAT for heap profiling
cargo install dhat
# Add to main.rs:
# #[global_allocator]
# static ALLOC: dhat::Alloc = dhat::Alloc;

**Token savings regression** (<20% savings):

# Run token accuracy tests
cargo test test_token_savings

# Example failure output:
# Git log filter: expected ≥20% savings, got 52.3%

# Fix: Improve filter condensation logic

Common Performance Issues

Issue 1: Regex Recompilation

**Symptom**: Startup time >20ms, flamegraph shows regex compilation in hot path

**Detection**:

# Flamegraph shows Regex::new() calls during execution
cargo flamegraph -- target/release/rtk git log -10
# Check whether fixed patterns are compiled outside LazyLock statics

**Fix**:

// ❌ WRONG: Recompiled on every call
fn filter_line(line: &str) -> Option<&str> {
    let re = Regex::new(r"pattern").unwrap(); // RECOMPILED!
    re.find(line).map(|m| m.as_str())
}

// ✅ RIGHT: Compiled once with LazyLock
use std::sync::LazyLock;

static LINE_PATTERN: LazyLock<Regex> =
    LazyLock::new(|| Regex::new(r"pattern").unwrap());

fn filter_line(line: &str) -> Option<&str> {
    LINE_PATTERN.find(line).map(|m| m.as_str())
}

Issue 2: Excessive Allocations

**Symptom**: Memory usage >5MB, many small allocations in flamegraph

**Detection**:

# DHAT heap profiling
cargo +nightly build --release
valgrind --tool=dhat target/release/rtk git status

**Fix**:

// ❌ WRONG: Allocates Vec for every line
fn filter_lines(input: &str) -> String {
    input.lines()
        .map(|line| line.to_string()) // Allocates String
        .collect::<Vec<_>>()
        .join("\n")
}

// ✅ RIGHT: Borrow slices, single allocation
fn filter_lines(input: &str) -> String {
    input.lines()
        .collect::<Vec<_>>() // Vec of &str (no String allocation)
        .join("\n")
}

Issue 3: Startup I/O

**Symptom**: Startup time varies wildly (5ms to 50ms), flamegraph shows file reads

**Detection**:

# strace on Linux
strace -c target/release/rtk git status 2>&1 | grep -E "open|read"

# dtrace on macOS (requires SIP disabled)
sudo dtrace -n 'syscall::open*:entry { @[execname] = count(); }' &
target/release/rtk git status
sudo pkill dtrace

**Fix**:

// ❌ WRONG: File I/O on startup
fn main() {
    let config = load_config().unwrap(); // Reads ~/.config/rtk/config.toml
    // ...
}

// ✅ RIGHT: Lazy config loading (only if needed)
fn main() {
    // No I/O on startup
    // Config loaded on-demand when first accessed
}

Issue 4: Dependency Bloat

**Symptom**: Binary size >5MB, many unused

Read more
@rtk-ai
Ships withrtk

CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies

86k12 skills6 agents
Get the whole plugin

Stars on GitHub

Momentum

stars in total
86.0k
Star history of rtk-ai/rtk on GitHub, a chart by star-history.com

Other skills on rtk.

code-simplifier

code-simplifier

Review RTK Rust code for idiomatic simplification. Detects over-engineering, unnecessary allocations, verbose patterns. Applies…

@rtk-ai@rtk-aiInstall Skill
design-patterns

design-patterns

Rust design patterns for RTK. Newtype, Builder, RAII, Trait Objects, State Machine. Applied to CLI filter modules. Use when…

@rtk-ai@rtk-aiInstall Skill
issue-triage

issue-triage

Issue triage: audit open issues, categorize, detect duplicates, cross-ref PRs, risk assessment, post comments. Args: "all" for…

@rtk-ai@rtk-aiInstall Skill
pr-review

pr-review

Batch review des PRs RTK par ordre de complexité croissante (XS → S → M → L). Pour chaque PR : vérifie l'état (conflits, CLA,…

@rtk-ai@rtk-aiInstall Skill
pr-triage

pr-triage

PR triage: audit open PRs, deep review selected ones, draft and post review comments. Args: "all" to review all, PR numbers to…

@rtk-ai@rtk-aiInstall Skill
repo-recap

repo-recap

Generate a comprehensive repo recap (PRs, issues, releases) for sharing with team. Pass "en" or "fr" as argument for language…

@rtk-ai@rtk-aiInstall Skill

More skills from other plugins.

brainstorming
Auto-invoked

brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, modifying behavior, or…

@obra@obraInstall Skill
ask-matt

ask-matt

Ask which skill or flow fits your situation. A router over the skills in this repo.

skills11d309k
@mattpocock@mattpocockInstall Skill
accessibility
Auto-invoked

accessibility

Design, implement, and audit accessible UI to WCAG 2.2 Level AA across Web, iOS, and Android — semantic ARIA roles and labels,…

ecc12d293k
@affaan-m@affaan-mInstall Skill
compiler-commit

compiler-commit

Use when you want to verify compiler changes and commit with the correct convention. Runs tests, lint, and format, then commits…

react2d252k
@facebook@facebookInstall Skill

Questions about performance.

Which coding agents can use performance?
performance installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.