/continuous-testing
Integrate automated testing into CI/CD pipelines for continuous quality feedback. Use for continuous testing, CI testing, automated testing pipelines, test orchestration, and DevOps quality practices.
$ npx -y skills add aj-geddes/useful-ai-prompts --skill continuous-testing --agent claude-codeHow it fires
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/continuous-testing
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Integrate automated testing into CI/CD pipelines for continuous quality feedback. Use for continuous testing, CI testing, automated testing pipelines, test orchestration, and DevOps quality practices.
SKILL.md
continuous-testing.SKILL.mdname: continuous-testing
description: >
Integrate automated testing into CI/CD pipelines for continuous quality
feedback. Use for continuous testing, CI testing, automated testing pipelines,
test orchestration, and DevOps quality practices.
Continuous Testing
Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
Overview
Continuous testing integrates automated testing throughout the software development lifecycle, providing rapid feedback on quality at every stage. It shifts testing left in the development process and ensures that code changes are validated automatically before reaching production.
When to Use
- Setting up CI/CD pipelines
- Automating test execution on commits
- Implementing shift-left testing
- Running tests in parallel
- Creating test gates for deployments
- Monitoring test health
- Optimizing test execution time
- Establishing quality gates
Quick Start
Minimal working example:
# .github/workflows/ci.yml
name: Continuous Testing
on:
push:
branches: [main, develop]
pull_request:
branches: [main, develop]
env:
NODE_VERSION: "18"
jobs:
# Unit tests - Fast feedback
unit-tests:
runs-on: ubuntu-latest
timeout-minutes: 10
steps:
- uses: actions/checkout@v3
- name: Setup Node.js
uses: actions/setup-node@v3
with:
node-version: ${{ env.NODE_VERSION }}
// ... (see reference guides for full implementation)Reference Guides
Detailed implementations in the `references/` directory:
| Guide | Contents | |---|---| | [GitHub Actions CI Pipeline](references/github-actions-ci-pipeline.md) | GitHub Actions CI Pipeline | | [GitLab CI Pipeline](references/gitlab-ci-pipeline.md) | GitLab CI Pipeline | | [Jenkins Pipeline](references/jenkins-pipeline.md) | Jenkins Pipeline | | [Test Selection Strategy](references/test-selection-strategy.md) | Test Selection Strategy | | [Flaky Test Detection](references/flaky-test-detection.md) | Flaky Test Detection | | [Test Metrics Dashboard](references/test-metrics-dashboard.md) | Test Metrics Dashboard |
Best Practices
✅ DO
- Run fast tests first (unit → integration → E2E)
- Parallelize test execution
- Cache dependencies
- Set appropriate timeouts
- Monitor test health and flakiness
- Implement quality gates
- Use test selection strategies
- Generate comprehensive reports
❌ DON'T
- Run all tests sequentially
- Ignore flaky tests
- Skip test maintenance
- Allow tests to depend on each other
- Run slow tests on every commit
- Deploy with failing tests
- Ignore test execution time
- Skip security scanning
Read more
name: continuous-testing description: > Integrate automated testing into CI/CD pipelines for continuous quality feedback. Use for continuous testing, CI testing, automated testing pipelines, test orchestration, and DevOps quality practices.
Continuous Testing
Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
Overview
Continuous testing integrates automated testing throughout the software development lifecycle, providing rapid feedback on quality at every stage. It shifts testing left in the development process and ensures that code changes are validated automatically before reaching production.
When to Use
- Setting up CI/CD pipelines
- Automating test execution on commits
- Implementing shift-left testing
- Running tests in parallel
- Creating test gates for deployments
- Monitoring test health
- Optimizing test execution time
- Establishing quality gates
Quick Start
Minimal working example:
# .github/workflows/ci.yml
name: Continuous Testing
on:
push:
branches: [main, develop]
pull_request:
branches: [main, develop]
env:
NODE_VERSION: "18"
jobs:
# Unit tests - Fast feedback
unit-tests:
runs-on: ubuntu-latest
timeout-minutes: 10
steps:
- uses: actions/checkout@v3
- name: Setup Node.js
uses: actions/setup-node@v3
with:
node-version: ${{ env.NODE_VERSION }}
// ... (see reference guides for full implementation)Reference Guides
Detailed implementations in the `references/` directory:
| Guide | Contents | |---|---| | [GitHub Actions CI Pipeline](references/github-actions-ci-pipeline.md) | GitHub Actions CI Pipeline | | [GitLab CI Pipeline](references/gitlab-ci-pipeline.md) | GitLab CI Pipeline | | [Jenkins Pipeline](references/jenkins-pipeline.md) | Jenkins Pipeline | | [Test Selection Strategy](references/test-selection-strategy.md) | Test Selection Strategy | | [Flaky Test Detection](references/flaky-test-detection.md) | Flaky Test Detection | | [Test Metrics Dashboard](references/test-metrics-dashboard.md) | Test Metrics Dashboard |
Best Practices
✅ DO
- Run fast tests first (unit → integration → E2E)
- Parallelize test execution
- Cache dependencies
- Set appropriate timeouts
- Monitor test health and flakiness
- Implement quality gates
- Use test selection strategies
- Generate comprehensive reports
❌ DON'T
- Run all tests sequentially
- Ignore flaky tests
- Skip test maintenance
- Allow tests to depend on each other
- Run slow tests on every commit
- Deploy with failing tests
- Ignore test execution time
- Skip security scanning
488 production-ready AI prompts, all following a standardized template with validated quality gates. Transform ChatGPT, Claude, and other AI assistants into expert consultants.
Repo: aj-geddes/useful-ai-prompts
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