跳到技能内容
词映 AI导航
发现工具选型指南Skills 技能AI 快讯AI图片AI视频AI文档AI办公AI助手AI搜索AI编程AI音频AI设计AI智能体模型与开发AI学习模型评测AI提示词内容检测AI金融AI 3D扫描与识别其他工具跨境电商 AI
词映 AI导航
工具库Skills 技能
我的收藏
词映 AI导航
发现工具选型指南Skills 技能AI 快讯AI图片AI视频AI文档AI办公AI助手AI搜索AI编程AI音频AI设计AI智能体模型与开发AI学习模型评测AI提示词内容检测AI金融AI 3D扫描与识别其他工具跨境电商 AI
Skills directory/bssm-oss/pm-skills-codex/test-scenarios

QA Test Scenarios Skill for ChatGPT

Convert a user story or acceptance criteria into executable manual test scenarios with setup data, roles, steps, and observable outcomes. Use it to cover a normal path and boundary cases.

中文

Install in ChatGPT

The publisher targets Codex. The standalone instructions and text-only example can be tried in an eligible ChatGPT workspace with skills and uploads enabled. The installation path is documented. Workspace runtime verification is pending.

  1. Download pm-execution/skills/test-scenarios/SKILL.md from the pinned GitHub source on this page. Keep the filename and the name and description at the top, in a folder named test-scenarios.
  2. In an eligible ChatGPT workspace with skill uploads enabled, open Plugins, then Skills, Create, and Upload from your computer. Use a skill package format accepted by your file picker.
  3. Check the scan and the Installed list. You can also choose Create with editor and keep the original name, description, and instructions. Select the installed skill with @ in a new chat and try the fictional example.

Example task

Use fictional criteria: signed-in users can save an article to a reading list, the same article appears at most once, and clearing the list shows an empty state. Request scenarios for saving, saving again, and clearing.

What to check

All three scenarios specify role and data. Saving twice leaves one record, and clearing shows the empty state. Unspecified feedback copy remains open for product review.

Original SKILL.md on GitHub · Updated 2026-11-11

Frequently asked question

How do I tell whether a generated test case is executable?

Check that it has starting data, a path through the interface, and an expected result a tester can observe in a sample environment.

词映 AI 导航Skills 技能
工具分类全部工具已本地化技能选型指南AI 快讯