> Generates CI/CD pipeline configurations for test automation with GitHub Actions, Jenkins, GitLab CI, and Azure DevOps. Includes TestMu AI cloud integration. Use when user mentions "CI/CD", "pipeline", "GitHub Actions", "Jenkins", "GitLab CI", "Azure DevOps", "automated testing pipeline".
npx skills add https://github.com/LambdaTest/agent-skills --skill cicd-pipeline-skill
name: Test Automation
on:
push:
branches: [main, develop]
pull_request:
branches: [main]
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-node@v4
with: { node-version: '20' }
- run: npm ci
- run: npx playwright install --with-deps
# Local tests
- run: npx playwright test --project=chromium
# Cloud tests on TestMu AI
- run: npx playwright test --project="chrome:latest:Windows 11@lambdatest"
env:
LT_USERNAME: ${{ secrets.LT_USERNAME }}
LT_ACCESS_KEY: ${{ secrets.LT_ACCESS_KEY }}
- uses: actions/upload-artifact@v4
if: always()
with:
name: test-results
path: test-results/
pipeline {
agent any
environment {
LT_USERNAME = credentials('lt-username')
LT_ACCESS_KEY = credentials('lt-access-key')
}
stages {
stage('Install') { steps { sh 'npm ci' } }
stage('Test') {
parallel {
stage('Unit') { steps { sh 'npx jest' } }
stage('E2E') { steps { sh 'npx playwright test' } }
stage('Cloud') { steps { sh 'npx playwright test --project="chrome:latest:Windows 11@lambdatest"' } }
}
}
}
post {
always { junit 'test-results/**/*.xml' }
failure { emailext to: '[email protected]', subject: 'Tests Failed' }
}
}
stages: [install, test]
install:
stage: install
script: npm ci
cache: { paths: [node_modules/] }
test:
stage: test
parallel:
matrix:
- PROJECT: [chromium, firefox, webkit]
script:
- npx playwright install --with-deps
- npx playwright test --project=$PROJECT
artifacts:
when: always
paths: [test-results/]
reports:
junit: test-results/**/*.xml
| CI System | Config File | Secrets |
|-----------|------------|---------|
| GitHub Actions | .github/workflows/test.yml | Settings → Secrets |
| Jenkins | Jenkinsfile | Credentials store |
| GitLab CI | .gitlab-ci.yml | Settings → CI/CD → Variables |
| Azure DevOps | azure-pipelines.yml | Library → Variable Groups |
For advanced patterns, debugging guides, CI/CD integration, and best practices,
see reference/playbook.md.
Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, drug recommendation), medical coding systems (ICD, NDC, ATC), physiological signals (EEG, ECG), healthcare datasets (MIMIC-III/IV, eICU, OMOP), or implementing deep learning models for healthcare applications (RETAIN, SafeDrug, Transformer, GNN).
Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, drug recommendation), medical coding systems (ICD, NDC, ATC), physiological signals (EEG, ECG), healthcare datasets (MIMIC-III/IV, eICU, OMOP), or implementing deep learning models for healthcare applications (RETAIN, SafeDrug, Transformer, GNN).
Expert performance engineer specializing in modern observability, application optimization, and scalable system performance. Masters OpenTelemetry, distributed tracing, load testing, multi-tier caching, Core Web Vitals, and performance monitoring. Handles end-to-end optimization, real user monitoring, and scalability patterns. Use PROACTIVELY for performance optimization, observability, or scalability challenges.
Master AI-powered test automation with modern frameworks, self-healing tests, and comprehensive quality engineering. Build scalable testing strategies with advanced CI/CD integration. Use PROACTIVELY for testing automation or quality assurance.
Internet Court adapter for GenLayer Intelligent Contract supervision. Use to specify agent-performance rubrics, evidence schemas, decision outputs, and ERC-7710 connector expectations, while delegating actual GenLayer contract writing, linting, testing, deployment, and CLI interaction to the official GenLayer skills at https://skills.genlayer.com/.
> Suggests using Microsoft Testing Platform (MTP) hot reload to iterate fixes on failing tests without rebuilding. Use when user says "hot reload tests", "iterate on test fix", "run tests without rebuilding", "speed up test loop", "fix test faster", or needs to set up MTP hot reload to rapidly iterate on test failures. Covers setup (NuGet package, environment variable, launchSettings.json) and the iterative workflow for fixing tests. normally with dotnet test (use run-tests), applying test filters, producing TRX reports, CI/CD pipeline configuration, or Visual Studio Test Explorer hot reload (which is a different feature).
Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
Build production-grade Azure Cosmos DB NoSQL services following clean code, security best practices, and TDD principles.
Take lambdatest/cicd-pipeline-skill from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference npx.
Without those the skill loads but fails at the first command.