JMeter Performance Testing
Apache JMeter expertise for enterprise-grade load and performance testing
npx skills add a5c-ai/babysitter --skill jmeter-performance --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# JMeter Performance Testing Skill ## Overview This skill provides expert-level capabilities for Apache JMeter-based performance testing, enabling test plan creation, distributed testing, and comprehensive result analysis. ## Capabilities ### Test Plan Development - Create and modify JMeter test plans (JMX) - Configure thread groups and samplers - Implement HTTP, JDBC, JMS samplers - Handle various protocols (HTTP, FTP, LDAP, SOAP) ### Dynamic Data Handling - Correlation for dynamic values - Regular expression extractors - JSON/XPath extractors - Parameterization with CSV data sets ### Distributed Testing - Configure distributed testing across multiple machines - Remote server management - Load distribution strategies ### Results Analysis - Analyze JMeter results and reports - Generate HTML dashboard reports - Aggregate report interpretation - Identify performance bottlenecks ### Plugin Integration - Blazemeter plugin integration - Custom plugin configuration - Extended samplers and listeners ## Target Processes - `performance-testing.js` - Performance test implementation - `api-testing.js` - API load testing ## Dependencies - `Apache JMeter` - Load testing tool - Java Runtime Envi
- Overview
- Capabilities
- Test Plan Development
- Dynamic Data Handling
- Distributed Testing
- Results Analysis
- Plugin Integration
- Target Processes
- Dependencies
- Usage Example
- Configuration
What does the JMeter Performance Testing skill do?
Apache JMeter expertise for enterprise-grade load and performance testing
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill jmeter-performance --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.