performance-scout

Analyze logs, benchmarks, and runtime counters to identify performance bottlenecks.

2|Updated Mar 10, 2026

Search Tags:#code review #performance #logs #optimization #triage #benchmarks

Ready to run

npx skills add https://github.com/zapabob/Skills --skill performance-scout

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: performance-scout
Source: https://github.com/zapabob/Skills/tree/main/registry/skills/performance-scout/variants/cursor
Command: npx skills add https://github.com/zapabob/Skills --skill performance-scout

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and agents (resource) components.

What problem does it solve?

This Skill addresses the challenge of quickly identifying and diagnosing performance bottlenecks within software applications by analyzing logs, benchmarks, and runtime data.

Core Features & Use Cases

Automated Performance Triage: Analyzes logs, benchmarks, and runtime counters to pinpoint performance issues.
Code Review & Improvement: Offers automated code review and suggests improvements based on performance analysis.
Best Practices Enforcement: Ensures adherence to performance best practices.
Use Case: A developer notices a slowdown in their application. They can use this Skill to analyze recent logs and benchmark results to get immediate insights into potential causes, such as inefficient database queries or high CPU usage.

Quick Start

Use the performance-scout skill to analyze the application logs for performance bottlenecks.

Frequently Asked Questions about performance-scout

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

FAQPage Schema

How do I identify performance bottlenecks using application logs and benchmarks?▼

To identify performance bottlenecks, you can triage application logs, benchmarks, and runtime counters to pinpoint issues like inefficient database queries or high CPU usage. The analysis provides immediate insights into potential causes of application slowdowns.

Can I automate code review to enforce performance optimization best practices?▼

Yes, you can automate code review to enforce performance optimization best practices. The analysis evaluates your codebase and suggests improvements based on runtime data and benchmark results to ensure adherence to performance standards.

Do I need shell command access to triage runtime counters and benchmark results?▼

Yes, you need shell command access to triage runtime counters and benchmark results effectively. Comprehensive performance analysis requires both reading project files and executing shell commands to gather the necessary runtime data.

What is the best way to diagnose a sudden application slowdown using runtime data?▼

The best way to diagnose a sudden application slowdown is by analyzing recent runtime counters and benchmark results. This triage process quickly isolates the root cause of the performance degradation, such as resource exhaustion or query inefficiencies.

What types of performance issues can I pinpoint by analyzing logs and runtime data?▼

By analyzing logs and runtime data, you can pinpoint performance issues such as inefficient database queries, high CPU usage, and other bottlenecks. This triage highlights specific areas in your code that violate performance best practices.