Claude Flow Performance

Profile, benchmark, and detect bottlenecks in agent workflows.

1|Updated Feb 8, 2026

Search Tags:#performance #optimization #benchmarking #metrics #profiling #bottleneck

Ready to run

npx skills add https://github.com/ricable/cli-skills-builder --skill claude-flow-performance

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Claude Flow Performance
Source: https://github.com/ricable/cli-skills-builder/tree/main/.claude/skills/claude-flow-performance
Command: npx skills add https://github.com/ricable/cli-skills-builder --skill claude-flow-performance

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps identify and resolve performance bottlenecks in your applications and agent workflows, ensuring optimal speed and efficiency.

Core Features & Use Cases

Performance Benchmarking: Measure the speed and throughput of your code.
Profiling: Analyze application performance to pinpoint slow functions or operations.
Bottleneck Detection: Automatically identify performance bottlenecks.
Optimization Recommendations: Receive suggestions to improve performance.
Metrics Tracking: Monitor and export performance metrics.
Use Case: When your agent workflow feels slow, use this skill to benchmark its current performance, profile the execution to find the slowest parts, and get recommendations for optimization.

Quick Start

Run a performance benchmark for your application.

Frequently Asked Questions about Claude Flow Performance

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

FAQPage Schema

How do I identify performance bottlenecks in my agent workflows?▼

To profile application speed within agent workflows, you analyze execution to pinpoint slow functions or operations. This skill provides programmatic APIs to measure execution time and identify specific areas causing latency.

What is the best way to benchmark agent workflow speed and throughput?▼

The best way to benchmark application speed and throughput is using programmatic APIs to measure code execution metrics. This skill provides a benchmarker API to track key performance indicators and evaluate workflow efficiency.

Can I track and export performance metrics for optimization analysis?▼

Yes, you can track and export performance metrics for optimization analysis. The metrics collector API monitors application speed and exports data to help identify optimization opportunities within your workflows.

How do I get optimization recommendations for slow application operations?▼

To get optimization recommendations for slow application operations, you profile execution to find bottlenecks. The skill analyzes performance issues and provides suggestions to improve overall speed and efficiency.

Do I need specific dependencies to run performance profiling on my workflows?▼

No specific dependencies are required to run performance profiling on your workflows. The skill operates independently using programmatic APIs for benchmarker, profiler, and metrics collector functionalities without external library requirements.