performance-analysis

Detect bottlenecks and generate optimization reports for Claude Flow swarms.

1|Updated Nov 24, 2025
One-click install
npx skills add https://github.com/Human-Frontier-Labs-Inc/parencylegal --skill performance-analysis-human-frontier-labs-inc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: performance-analysis
Source: https://github.com/Human-Frontier-Labs-Inc/parencylegal/tree/main/corn-docs/.claude/skills/performance-analysis
Command: npx skills add https://github.com/Human-Frontier-Labs-Inc/parencylegal --skill performance-analysis-human-frontier-labs-inc

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps development teams quickly identify bottlenecks and optimize performance across Claude Flow swarms, reducing latency and improving reliability.

Core Features & Use Cases

  • Bottleneck Detection: Discover where delays occur (communication, processing, memory, network) across a swarm.
  • Performance Profiling: Monitor real-time and historical performance of swarm tasks to inform tuning.
  • Report Generation: Create comprehensive performance reports in HTML, JSON, or Markdown formats for stakeholders.
  • Use Case: When a deployment causes slow responses under load, run automated bottleneck analysis and generate an optimization plan.

Quick Start

Run a basic bottleneck scan with: npx claude-flow bottleneck detect Generate a performance report with: npx claude-flow analysis performance-report --format html --include-metrics Auto-fix common issues with: npx claude-flow bottleneck detect --fix --threshold 15

Frequently Asked Questions about performance-analysis

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

FAQPage Schema
How do I detect bottlenecks in a Claude Flow swarm?

Bottleneck detection in a Claude Flow swarm is performed by running a CLI scan via npx claude-flow bottleneck detect, which identifies delays across communication, processing, memory, and network layers and outputs JSON results.

Can I generate performance reports for distributed agent systems in different formats?

Performance reports for distributed agent systems can be generated in HTML, JSON, or Markdown formats using npx claude-flow analysis performance-report, allowing stakeholders to review profiling metrics and optimization recommendations.

What's the best way to monitor real-time and historical swarm performance?

Real-time and historical swarm performance monitoring is handled by the performance profiling feature, which tracks task execution metrics across the Claude Flow swarm to inform tuning decisions.

Does the bottleneck detection CLI support auto-fixing common performance issues?

The bottleneck detection CLI supports auto-fixing common performance issues by appending the --fix flag with a defined --threshold, allowing automated resolution of detected delays during the scan.

Do I need additional dependencies to run a bottleneck analysis on my Claude Flow deployment?

No additional dependencies are required to run bottleneck analysis on your Claude Flow deployment, as the skill operates independently through the npx claude-flow CLI without external component installations.

Why does my distributed agent swarm experience slow responses under load?

Slow responses under load in a distributed agent swarm are typically caused by bottlenecks in communication, processing, memory, or network layers, which a CLI bottleneck scan can detect and help optimize.