Agent skill · AI & Agents

civil-service-question-practice

公务员考试专项刷题与错题重练助手。当用户说“刷题”“来10道资料分析”“逐题做判断推理”“按某省真题练习”“从我上传的PDF/题库里抽题”“先别给答案”“限时练一组”“错题重做”“再来几道同类题”“针对薄弱点出题”时,应使用本 Skill。支持用户文件、知识库、联网核验的公开真题、机构公开题和AI自编变式题混合题源;提供逐题/批量/限时模式、答案隐藏、即时批改、题源标识、正确率与错因统计、错题重做和下一组训练建议。完整套卷模拟应使用 mock-exam,申论主观答案精批应使用 civil-service-essay-grader。

mingchen666157★ · +54/wk · 1 repos on radarProfile →
claude-coderead-only
Install
npx skills add mingchen666/Reviva --skill civil-service-question-practice --agent claude-code

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

Facts
Files in the skill folder: 12
SKILL.md size: 5 KB
Bundled scripts: none
Version: 1.2.0
Allowed tools: -file_read-file_write-document_read-office_write-vision_analyze-kb_search
Path: electron/builtin-assets/skills/civil-service-question-practice/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 181 · +24 this week
Language: HTML
Read our review of the source →

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

From the SKILL.md

# 公考专项刷题 帮助用户把“学过方法”转化成“限时做对题”。刷题不只是生成题目,还要控制题源、隐藏答案、准确批改、识别错因,并根据结果安排下一组练习。 ## 按需读取 references 与 examples - 用户询问刷题方法、复习间隔、错题重练或把握度记录的研究依据时,读 `references/research-basis.md`。 - 从用户文件、知识库或联网页面选题和核验来源时,读 `references/source-verification.md`。 - 选择逐题、批量、限时、错题重做或薄弱点训练时,读 `references/practice-modes.md`。 - 解析 `1A 2C 3D`、把握度、部分答案或主观题提交时,读 `references/answer-parsing.md`。 - 判断错误原因和安排针对训练时,读 `references/error-

More from Reviva
All skills →
About this skill
What does the civil-service-question-practice skill do?

公务员考试专项刷题与错题重练助手。当用户说“刷题”“来10道资料分析”“逐题做判断推理”“按某省真题练习”“从我上传的PDF/题库里抽题”“先别给答案”“限时练一组”“错题重做”“再来几道同类题”“针对薄弱点出题”时,应使用本 Skill。支持用户文件、知识库、联网核验的公开真题、机构公开题和AI自编变式题混合题源;提供逐题/批量/限时模式、答案隐藏、即时批改、题源标识、正确率与错因统计、错题重做和下一组训练建议。完整套卷模拟应使用 mock-exam,申论主观答案精批应使用 civil-service-essay-grader。

How do I install it?

Run `npx skills add mingchen666/Reviva --skill civil-service-question-practice --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 mingchen666/Reviva, a repository with 181 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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