跳到正文
cccskills
免费在 GitHub 公开

qe-test-generation

AI-powered test generation using pattern recognition, code analysis, and intelligent test synthesis for comprehensive test coverage.

中文简介正在准备中。当前显示原文说明。

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

实测评分 未实测

查看安装方法

包含的文件(1)

  • SKILL.md3.3 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

QE Test Generation

Purpose

Guide the use of v3's AI-powered test generation capabilities including pattern-based test synthesis, multi-framework support, and intelligent test case derivation from code analysis.

Activation

  • When generating tests for new code
  • When improving test coverage
  • When migrating tests between frameworks
  • When applying TDD patterns
  • When generating edge case tests

Quick Start

# Generate unit tests for a file
aqe test generate --file src/services/UserService.ts --framework jest

# Generate tests with coverage target
aqe test generate --scope src/api/ --coverage 90 --type unit

# Generate integration tests
aqe test generate --file src/controllers/AuthController.ts --type integration

# Generate from patterns
aqe test generate --pattern repository --target src/repositories/

Agent Workflow

// Spawn test generation agents
Task("Generate unit tests", `
  Analyze src/services/PaymentService.ts and generate comprehensive Jest tests.
  Include:
  - Happy path tests for all public methods
  - Edge cases and boundary conditions
  - Error handling scenarios
  - Mock external dependencies
  Output to tests/unit/services/PaymentService.test.ts
`, "qe-test-generator")

// Pattern-based generation
Task("Apply test patterns", `
  Scan src/repositories/ and apply repository test pattern:
  - CRUD operation tests
  - Query builder tests
  - Transaction tests
  - Connection error handling
`, "qe-pattern-matcher")

Test Generation Strategies

1. Code Analysis Based

await testGenerator.analyzeAndGenerate({
  source: 'src/services/OrderService.ts',
  analysis: {
    methods: true,
    branches: true,
    dependencies: true,
    errorPaths: true
  },
  output: {
    framework: 'jest',
    style: 'describe-it',
    assertions: 'expect'
  }
});

2. Pattern-Based Generation

await testGenerator.applyPattern({
  pattern: 'service-layer',
  targets: ['src/services/*.ts'],
  customizations: {
    mockStrategy: 'jest.mock',
    asyncHandling: 'async-await',
    errorAssertion: 'toThrow'
  }
});

3. Coverage-Driven Generation

await testGenerator.fillCoverageGaps({
  coverageReport: 'coverage/lcov.info',
  targetCoverage: 90,
  prioritize: ['uncovered-branches', 'error-paths'],
  maxTests: 50
});

Framework Support

FrameworkUnitIntegrationE2EMocking
Jest✅✅⚠️jest.mock
Vitest✅✅⚠️vi.mock
Mocha✅✅❌sinon
Pytest✅✅❌pytest-mock
JUnit✅✅❌Mockito

Test Quality Checks

quality_checks:
  assertions:
    minimum_per_test: 1
    meaningful: true

  isolation:
    no_shared_state: true
    proper_setup_teardown: true

  naming:
    descriptive: true
    follows_convention: true

  coverage:
    branches: 80
    statements: 85

Coordination

Primary Agents: qe-test-generator, qe-pattern-matcher, qe-test-architect Coordinator: qe-test-generation-coordinator Related Skills: qe-coverage-analysis, qe-test-execution

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

a11y-ally

免费

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.

中文简介正在准备中。当前显示原文说明。

proffesor-for-testing/agentic-qe5152026年10月26日 更新

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.

中文简介正在准备中。当前显示原文说明。

proffesor-for-testing/agentic-qe5152026年10月26日 更新

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.

中文简介正在准备中。当前显示原文说明。

proffesor-for-testing/agentic-qe5152026年10月26日 更新

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.

中文简介正在准备中。当前显示原文说明。

proffesor-for-testing/agentic-qe5152026年10月26日 更新

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.

中文简介正在准备中。当前显示原文说明。

proffesor-for-testing/agentic-qe5152026年10月26日 更新

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.

中文简介正在准备中。当前显示原文说明。

proffesor-for-testing/agentic-qe5152026年10月26日 更新

查看 proffesor-for-testing 的全部技能

报告此技能的问题