본문으로 건너뛰기
cccskills
무료GitHub에 공개

shift-left-testing

Move testing activities earlier in the development lifecycle to catch defects when they're cheapest to fix. Use when implementing TDD, CI/CD, or early quality practices.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

proffesor-for-testing/agentic-qe스타 515(GitHub 515 + cccskills 0)

실행 점수 미검증

설치 방법 보기

포함된 파일(4)

  • SKILL.md4.7 KB
  • evals/shift-left-testing.yaml3.2 KB
  • schemas/output.json14.3 KB
  • scripts/validate-config.json439 B

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Shift-Left Testing

<default_to_action> When implementing early testing practices:

  1. VALIDATE requirements before coding (testability, BDD scenarios)
  2. WRITE tests before implementation (TDD)
  3. AUTOMATE in CI pipeline (every commit triggers tests)
  4. FIX defects immediately - never let them accumulate

Quick Shift-Left Levels:

  • Level 1: Unit tests with each PR (developer responsibility)
  • Level 2: TDD practice (tests before code)
  • Level 3: BDD/Example mapping in refinement (requirements testing)
  • Level 4: Risk analysis in design (architecture testing) </default_to_action>

Quick Reference Card

When to Use

  • Reducing cost of defects
  • Implementing CI/CD pipelines
  • Starting TDD practice
  • Improving requirements quality

Shift-Left Levels

LevelPracticeWhen
1Unit tests in PRBefore merge
2TDDBefore implementation
3BDD/Example MappingDuring refinement
4Risk AnalysisDuring design

Level 1: Tests in Every PR

# CI pipeline - tests run on every commit
name: CI
on: [push, pull_request]
jobs:
  test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - run: npm ci
      - run: npm run test:unit
      - run: npm run test:integration
      - run: npm run lint

  quality-gate:
    needs: test
    steps:
      - name: Coverage Check
        run: npx coverage-check --min 80
      - name: No New Warnings
        run: npm run lint -- --max-warnings 0

Agent-Assisted Shift-Left

// Validate requirements testability
await Task("Requirements Validation", {
  requirements: userStories,
  check: ['INVEST-criteria', 'testability', 'ambiguity'],
  generateBDD: true
}, "qe-requirements-validator");

// Generate tests from requirements
await Task("Generate Tests", {
  source: 'requirements',
  types: ['unit', 'integration', 'e2e'],
  coverage: 'comprehensive'
}, "qe-test-generator");

// Smart test selection for changes
await Task("Select Regression Tests", {
  changedFiles: prFiles,
  algorithm: 'risk-based',
  targetReduction: 0.7  // 70% time savings
}, "qe-regression-risk-analyzer");

Agent Coordination Hints

Memory Namespace

aqe/shift-left/
├── requirements/*       - Validated requirements
├── generated-tests/*    - Auto-generated tests
├── coverage-targets/*   - Coverage goals by component
└── pipeline-results/*   - CI/CD test history

Fleet Coordination

const shiftLeftFleet = await FleetManager.coordinate({
  strategy: 'shift-left',
  agents: [
    'qe-requirements-validator',     // Level 3-4
    'qe-test-generator',             // Level 2
    'qe-regression-risk-analyzer'    // Smart selection
  ],
  topology: 'sequential'
});

Related Skills


Remember

With Agents: Agents validate requirements testability, generate tests from specs, and select optimal regression suites. Use agents to implement shift-left practices consistently.

Skill Composition

  • TDD practice → Use /tdd-london-chicago for specific TDD guidance
  • Generate tests → Use /qe-test-generation for AI-powered test generation
  • CI/CD quality → Use /cicd-pipeline-qe-orchestrator for pipeline setup

Gotchas

  • "Shift left" doesn't mean "only test left" — production monitoring (shift right) is still needed
  • Agent generates tests before understanding requirements — tests for wrong behavior are worse than no tests
  • CI pipeline tests that take >10 minutes kill the feedback loop — keep commit-stage tests under 5 minutes
  • TDD discipline degrades when agent writes test+code simultaneously — enforce Red phase separation
  • Shifting left without lightweight environments just shifts the bottleneck — fix environments first

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

a11y-ally

무료

Use when running comprehensive WCAG accessibility audits with axe-core + pa11y + Lighthouse, generating context-aware remediation, or testing video accessibility. Supports 3-tier browser cascade with graceful degradation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

proffesor-for-testing/agentic-qe5152026년 10월 26일 업데이트

WCAG 2.2 compliance testing, screen reader validation, and inclusive design verification. Use when ensuring legal compliance (ADA, Section 508), testing for disabilities, or building accessible applications for 1 billion disabled users globally.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

proffesor-for-testing/agentic-qe5152026년 10월 26일 업데이트

Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

proffesor-for-testing/agentic-qe5152026년 10월 26일 업데이트

Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

proffesor-for-testing/agentic-qe5152026년 10월 26일 업데이트

Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

proffesor-for-testing/agentic-qe5152026년 10월 26일 업데이트

Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

proffesor-for-testing/agentic-qe5152026년 10월 26일 업데이트

proffesor-for-testing의 스킬 모두 보기

이 스킬의 문제 신고