latency-audit

Identify hot-path latency pitfalls in high-performance C++ code and generate a structured audit report.

Updated Jun 9, 2026
One-click install
npx skills add https://github.com/paidaxing1234/latency-hunter-toolkit --skill latency-audit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: latency-audit
Source: https://github.com/paidaxing1234/latency-hunter-toolkit/tree/main/skills/latency-audit
Command: npx skills add https://github.com/paidaxing1234/latency-hunter-toolkit --skill latency-audit

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

latency-audit identifies hot-path latency pitfalls in high-performance C++ code and generates a structured heat-path audit report that highlights where tail latency originates and how to fix it.

Core Features & Use Cases

  • Static analysis of concurrency, memory, and I/O patterns on hot paths with file:line granularity.
  • Produces a prioritized heat-path report with severity, root-cause, and recommended fixes ready for profiling verification.
  • Use case: hand tick handlers, market data processing, or serialization paths to surface bottlenecks before they become tail-latency events.

Quick Start

Run latency-audit on your C++ hot-path codebase to surface hot-path issues and generate a prioritized improvement plan.

Frequently Asked Questions about latency-audit

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I identify hot-path latency pitfalls in C++ code?

Hot-path latency pitfalls in C++ code are identified through static analysis of concurrency, memory, and I/O patterns, generating a structured audit report with file:line level evidence and severity-driven fixes.

What causes tail latency in market data processing and order matching paths?

Tail latency in market data processing and order matching paths originates from concurrency, memory, and I/O bottlenecks on hot paths, which a structured heat-path audit exposes with root-cause analysis and prioritized fixes.

How do I audit C++ tick handlers for latency issues before profiling?

Auditing C++ tick handlers for latency issues involves statically analyzing hot-path patterns to surface bottlenecks with file:line granularity, producing a prioritized improvement plan ready for verification with perf and flame graphs.

Can I verify hot-path audit fixes using perf, flame graphs, and NUMA profiling?

Hot-path audit fixes are designed for verification with perf, flame graphs, and NUMA profiling, as the generated report provides severity-driven recommendations specifically structured for validation against these profiling tools.

Does this hot-path latency audit work for serialization paths where tail latency matters?

This hot-path latency audit applies directly to serialization paths where tail latency matters, analyzing high-performance C++ code to surface bottlenecks and generate a prioritized heat-path report with actionable fixes.

What is the best way to cut tail latency in high-performance C++ applications?

Cutting tail latency in high-performance C++ applications requires a structured heat-path audit that identifies concurrency, memory, and I/O pitfalls at file:line granularity, delivering severity-driven fixes verifiable with profiling tools.