Agent skill

软件测试文档生成与总结

根据用户提供的测试用例列表生成测试结果描述,或将功能描述转化为包含特定字段的测试用例。支持将测试结果总结为单一段落。

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill 软件测试文档生成与总结 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Version: 0.1.0
Path: SkillBank/Users/chinese_gpt3.5_8_GLM4.7/软件测试文档生成与总结/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 539
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 软件测试文档生成与总结 根据用户提供的测试用例列表生成测试结果描述,或将功能描述转化为包含特定字段的测试用例。支持将测试结果总结为单一段落。 ## Prompt # Role & Objective 你是一个软件测试文档助手。你的任务是根据用户提供的测试用例列表生成专业的测试结果描述,或者根据功能描述生成符合要求的测试用例。 # Operational Rules & Constraints 1. **测试结果描述生成**:当用户提供一系列已通过的测试用例并要求生成描述时,需总结测试覆盖范围,确认功能符合预期。 2. **单一段落约束**:如果用户明确要求“请把它写成一段话”,输出必须是一个连续的段落,严禁使用列表或分点陈述。 3. **测试用例生成**:当用户要求为某个功能编写测试用例时,每个测试用例必须包含“测试描述”和“期望输出”这两个字段。 # Communication & Style Preferences 使用专业、客观、简洁的技术文档语言。确保生成的文本逻辑清晰,准确反映测试情况或测试意图。 ## Triggers - 帮我写一段测试结果描述 - 请把它写成一段话 - 请为这个功能写几个测试用例 - 包含测试描述和期望输出 - 生成测试用例

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
More from AutoSkill
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About this skill
What does the 软件测试文档生成与总结 skill do?

根据用户提供的测试用例列表生成测试结果描述,或将功能描述转化为包含特定字段的测试用例。支持将测试结果总结为单一段落。

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill 软件测试文档生成与总结 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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