Perf Hints

Improve C++ (C++11+) performance using Abseil “Performance Hints” (Jeff Dean & Sanjay Ghemawat): estimation + profiling, API/bulk design, algorithmic wins, cache-friendly memory layout, fewer allocations, fast paths, caching, and compiler-friendly hot loops. Use for performance code reviews, refactors, and profiling-driven optimizations. Keywords: performance, latency, throughput, cache, allocation, memory layout, InlinedVector, string_view, Span, flat_hash_map, pprof, perf.

9 stars 2 forksSoftware Development

Install

skills CLI (Claude Code, Cursor, Codex and more)
npx skills add omarkilani/perf-hints --skill perf-hints
Manual install
git clone --depth 1 https://github.com/omarkilani/perf-hints.git /tmp/perf-hints
mkdir -p ~/.claude/skills
cp -r /tmp/perf-hints/. ~/.claude/skills/perf-hints

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

# C++ Performance Hints (Jeff Dean & Sanjay Ghemawat style)

This skill packages key ideas from Abseil’s **Performance Hints** document.

Use it to:

- review C++ code for performance risks
- propose high-impact optimizations with **explicit tradeoffs**
- design APIs/data structures that keep future optimizations possible
- write an experiment plan (profile + microbenchmark) to validate changes

## Scope and guardrails

- **Scope:** single-process / single-binary performance (CPU, memory, allocations, cache behavior).
- **Do not:** change externally observable behavior unless the user explicitly agrees.
- **Do not:** introduce undefined behavior, data races, or brittle “clever” micro-opts without evidence.
- **Default philosophy:** choose the faster alternative **when it doesn’t materially harm readability or complexity**; otherwise, measure first.

## When to apply

Use this skill when the task involves any of:

- reducing **latency** or improving **throughput**
- cutting **memory footprint** or **allocation rate**
- improving **cache locality** / reducing cache misses
- designing performant **APIs** (bulk ops, view types, threading model)
- reviewing performance-sensitive C++ changes
- interpreting a **flat profile** and finding next steps

## What to ask for (minimum inputs)

If you don’t have enough information, ask for the smallest set that changes your recommendation quality:

1. **Goal:** latency vs throughput vs memory (and the SLO if any)
Read the full skill on GitHub

Details

Skill name
perf-hints
Repo updated
21 December 2025

FAQ

What does the Perf Hints skill do?

Improve C++ (C++11+) performance using Abseil “Performance Hints” (Jeff Dean & Sanjay Ghemawat): estimation + profiling, API/bulk design, algorithmic wins, cache-friendly memory layout, fewer allocations, fast paths, caching, and compiler-friendly hot loops. Use for performance code reviews, refactors, and profiling-driven optimizations. Keywords: performance, latency, throughput, cache, allocation, memory layout, InlinedVector, string_view, Span, flat_hash_map, pprof, perf.

How do I install the Perf Hints skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add omarkilani/perf-hints --skill perf-hints. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is Perf Hints popular?

It lives in omarkilani/perf-hints, which has 9 GitHub stars and 2 forks.

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