Fetches k6-load-test from dengineproblem/agents-monorepo and configures it for Cursor.
3
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
◆ Which agents do you want to install to?
│
│ ── Universal (.agents/skills) ────────────────
│ · Cline · Codex · Goose · Windsurf
│ ●Cursor(selected)
│ · Cursor · Aider · Continue
4
Verify installation
Confirm successful installation by checking the skill directory location:
.cursor/skills/k6-load-test
Restart Cursor to activate k6-load-test. Access via /k6-load-test in your agent's command palette.
⚠
Security Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Virtual Users (VUs): Each VU runs the test script independently in parallel
Iterations vs Duration: Choose between iteration-based or time-based test execution
Stages: Gradually ramp up/down load to simulate realistic traffic patterns
Thresholds: Define pass/fail criteria for automated performance validation
Metrics: Focus on key performance indicators (response time, throughput, error rate)
Basic Test Script Structure
importhttpfrom'k6/http';import{ check, sleep }from'k6';import{Rate,Trend}from'k6/metrics';// Custom metricsconst errorRate =newRate('errors');const customTrend =newTrend('custom_duration');// Test configurationexportconst options ={stages:[{duration:'2m',target:10},// Ramp up to 10 users{duration:'5m',target:10},// Stay at 10 users{duration:'2m',target:20},// Ramp up to 20 users{duration:'5m',target:20},// Stay at 20 users{duration:'2m',target:0},// Ramp down to 0],thresholds:{http_req_duration:['p(95)<500'],// 95% of requests under 500mshttp_req_failed:['rate<0.1'],// Error rate under 10%errors:['rate<0.1'],},};// Setup function (runs once before test)exportfunctionsetup(){// Prepare test data, authenticate, etc.const loginRes = http.post('https://api.example.com/auth/login',{email:'[email protected]',password:'password123',});return{token: loginRes.json('token')};}// Main test function (runs for each VU)exportdefaultfunction(data){const params ={headers:{'Authorization':`Bearer ${data.token}`,'Content-Type':'application/json',},};const response = http.get('https://api.example.com/users', params);// Verify responsecheck(response,{'status is 200':(r)=> r.status===200,'response time < 500ms':(r)=> r.timings.duration<500,'response body contains users':(r)=> r.body.includes('users'),});// Track custom metrics errorRate.add(response.status!==200); customTrend.add(response.timings.duration);// Think time between requestssleep(Math.random()*2+1);// 1-3 seconds}// Teardown function (runs once after test)exportfunctionteardown(data){// Cleanup operationsconsole.log('Test completed');}
exportconst options ={stages:[{duration:'2m',target:100},{duration:'5m',target:100},{duration:'2m',target:200},{duration:'5m',target:200},{duration:'2m',target:300},// Beyond normal capacity{duration:'5m',target:300},{
Implementation Guide
Prerequisites
›Claude Desktop or compatible AI client with skill support
›Clear understanding of task or problem to solve
›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Steps
1Install skill using provided installation command
2Test with simple use case relevant to your work
3Evaluate output quality and relevance
4Iterate on prompts to improve results
5Integrate into regular workflow if valuable
Common Pitfalls
⚠Expecting perfect results without iteration
⚠Not providing enough context in prompts
⚠Using skill for tasks outside its intended scope
⚠Accepting outputs without review and validation
Best Practices
✓ Do
+Start with clear, specific prompts
+Provide relevant context and constraints
+Review and refine all outputs before using
+Iterate to improve output quality
+Document successful prompt patterns
✗ Don't
−Don't use without understanding skill limitations
−Don't skip validation of outputs
−Don't share sensitive information in prompts
−Don't expect skill to replace human judgment
💡 Pro Tips
★Be specific about desired format and style
★Ask for multiple options to choose from
★Request explanations to understand reasoning
★Combine AI efficiency with human expertise
When to Use This
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path
1Familiarize yourself with skill capabilities and limitations
2Start with low-risk, non-critical tasks
3Progress to more complex and valuable use cases
4Build expertise through regular use and experimentation
