bob:performance

Automate performance benchmarking, bottleneck analysis, and verified optimizations across CI pipelines.

9|3|Updated Feb 8, 2026
One-click install
npx skills add https://github.com/mattdurham/bob --skill bob-performance
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bob:performance
Source: https://github.com/mattdurham/bob/tree/main/skills/performance
Command: npx skills add https://github.com/mattdurham/bob --skill bob-performance

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Performance optimization is often manual, slow, and error-prone, making it hard to consistently improve software efficiency.

Core Features & Use Cases

  • Benchmarking and baseline collection across modules and CI to establish objective metrics
  • Bottleneck analysis, targeted optimizations, and traceable changes with rollback guidance
  • Verification, reporting, and monitoring to ensure measurable improvements over time

Quick Start

Run the performance optimization workflow on your project to initialize benchmarking and start the optimization loop.

Frequently Asked Questions about bob:performance

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

FAQPage Schema
How do I automate software performance optimization in my CI pipeline?

Automated performance optimization uses repeatable benchmarking across CI pipelines to collect baselines, analyze bottlenecks, implement targeted changes, and validate outcomes with structured pass/fail decisions.

What is benchmark-driven optimization and how does it work?

Benchmark-driven optimization establishes objective performance metrics by running background benchmarks, analyzing results to find bottlenecks, and implementing traceable changes with rollback guidance.

Can I run background benchmarks to analyze codebase performance bottlenecks?

Yes, background benchmarking collects baseline metrics across modules to identify performance bottlenecks, enabling targeted optimizations and verified improvements over time.

What's the best way to verify measurable performance improvements across modules?

Verify measurable improvements by running repeatable benchmarks across modules, analyzing results, and applying structured pass/fail decisions to validate optimization outcomes.