diagnose-performance

Diagnose MCP performance issues and propose concrete optimizations.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/Tsangares/manny_mcp --skill diagnose-performance
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: diagnose-performance
Source: https://github.com/Tsangares/manny_mcp/tree/main/.claude/skills/diagnose-performance
Command: npx skills add https://github.com/Tsangares/manny_mcp --skill diagnose-performance

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manny MCP performance issues cause slow builds, high latency, and unstable deployments. This skill helps automatically diagnose and propose concrete optimizations to reduce build times, improve cache efficiency, and enhance search/query responsiveness.

Core Features & Use Cases

  • Automated Performance Scan: runs the full set of metrics to identify bottlenecks.
  • Targeted Fix Recommendations: suggests concrete steps for builds, cache, search, and latency.
  • Use Case: A developer notices slow incremental builds; the skill diagnoses root causes and outputs remediation steps.

Quick Start

Run ./monitor.py --metric all to generate a health snapshot, then review the diagnosed issues and recommended fixes; paste the exact commands into your shell to apply.

Frequently Asked Questions about diagnose-performance

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

FAQPage Schema
How do I diagnose slow build latency in my codebase?

To diagnose slow build latency, run an automated performance scan using existing monitoring scripts to capture baseline metrics, identify bottlenecks, and output concrete remediation steps for cache inefficiencies.

Why does search latency spike during production runs?

Search latency spikes during production runs due to cache inefficiencies and query bottlenecks. Diagnosing the issue involves running monitoring scripts to generate a health snapshot and comparing results against established baselines.

What is the best way to optimize cache inefficiency during development?

The best way to optimize cache inefficiency is to execute a full metrics scan to identify bottlenecks, then apply targeted fix recommendations that output concrete remediation steps for your development environment.

Can I use existing monitoring scripts to reproduce performance results?

Yes, you can use existing monitoring scripts to reproduce performance results. The diagnostic process leverages these scripts and established baselines to generate reproducible health snapshots and actionable fixes.

Do I need baseline metrics to diagnose Manny MCP performance issues?

Yes, you need baseline metrics to diagnose Manny MCP performance issues effectively. The solution leverages existing monitoring scripts and baselines to produce reproducible results and actionable remediation steps.