/pdlc-e2e
端到端测试(生成或执行 E2E 用例)
$ npx -y skills add kanfu-panda/pdlc-skills --skill pdlc-e2e --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/pdlc-e2e
Context preview
The summary Claude sees to decide when to auto-load this skill.
端到端测试(生成或执行 E2E 用例)
SKILL.md
pdlc-e2e.SKILL.mdname: pdlc-e2e description: 端到端测试(生成或执行 E2E 用例) argument-hint: <功能ID | 业务流程描述> allowed-tools: Read, Write, Edit, Glob, Grep, Bash layer: 2 stage: e2e produces: - e2e/**/*.spec.ts requires: [] next_step: pdlc-review terminal_state: e2e_done
端到端测试
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编写端到端(E2E)测试用例,验证完整的用户操作流程。
工作流程
1. **阅读需求文档**: 阅读 `docs/01_requirements/user-stories/` 下的用户故事和验收标准 2. **阅读 UI 设计**: 阅读 `docs/02_design/ui-ux/` 下的 UI 设计文档 3. **梳理测试场景**: 按用户旅程梳理核心操作路径 4. **编写测试计划**: 在 `docs/04_testing/e2e-tests/` 下补充 E2E 测试用例 5. **编写测试代码**: 使用项目对应的 E2E 框架编写自动化测试 6. **运行验证**: 确保测试可通过
测试场景设计
- **核心路径(P0)**: 必须通过,如登录→主流程→结果验证
- **分支路径(P1)**: 常见的备选操作路径
- **异常路径(P2)**: 网络错误、超时、权限不足等异常场景
- **边界场景(P3)**: 空数据、超长输入、并发操作
测试框架(根据前端技术栈)
- React/Vue/Next.js: Playwright 或 Cypress
- 微信小程序: miniprogram-automator
- API 层: 直接用 HTTP 请求库
要求
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- 测试用例命名格式: `应该_当<条件>时_<预期行为>`
- 测试数据独立,不依赖其他测试的执行结果
- 每个测试结束后清理数据
测试目标: $ARGUMENTS
<!-- @include templates/prompts/state-update.md --> <!-- @include templates/prompts/handoff.md -->
Author: kanfu-panda Repo: github.com/kanfu-panda/pdlc-skills License: MIT pdlc-skills turns AI software engineering into an auditable, on-disk state machine.

