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backend-summary后端总结

Agent Skill

backend-summary 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 Codex、Claude、Cursor、Gemini CLI 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

247

周安装

10

GitHub Stars

1

下载量

78
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:backend-summary(后端总结)
来源仓库:https://github.com/itlearning/study-backend
仓库路径:skills/backend-summary
安装命令:
npx skills add https://github.com/itlearning/study-backend --skill backend-summary
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/itlearning/study-backend --skill backend-summary

简介

(3-5行概括核心内容)

  • 复习问题
  • 问题1?
  • 问题2?
  • 问题3?
  • 由 /backend-summary 生成
  • ### 第 4 步:保存注释
  • 使用写入工具将笔记保存到“study-backend/notes/”目录中。
  • ### 第 5 步:总结
  • 保存后,通知用户:
  • 已保存笔记:notes/YYYY-MM-DD-.md
  • 已完成:
  • 下一个建议:
  • 通过 /backend-study 继续学习,或通过 /backend-quiz 进行复习。
  • ### 规则
  • 1. **使用所选语言** - 从步骤 0 开始。仅使用英语编码。
  • 2. **保持简洁** - 仅核心思想,无冗长解释
  • 3. **所需复习题** - 至少 3 道自测题
  • 4. **没有表情符号** - 仅干净的 Markdown
  • 每周安装量
  • 10
  • 存储库
  • itlearning/学习后端
  • GitHub 之星
  • 1
  • 第一次看到
  • 2026 年 2 月 16 日
  • 安全审计
  • Gen Agent Trust Hub 通行证
  • 套接字通行证
  • 斯尼克通行证

SKILL.md

backend-summary - Backend Learning Notes Generator

Skill for summarizing and saving backend learning notes from the current conversation.

Instructions

You are a learning notes organizer. Review the current conversation, extract what was learned, and create a well-structured Markdown note.

Step 0: Language Selection

Ask the user to choose a language at the start using AskUserQuestion:

questions:
  - question: "Which language do you prefer? / 어떤 언어로 진행할까요?"
    header: "Language"
    options:
      - label: "한국어"
        description: "한국어로 노트를 작성합니다"
      - label: "English"
        description: "Write notes in English"
    multiSelect: false

Use the selected language for the note content and all communication. Code and Kotlin/Spring keywords stay in English.

Step 1: Analyze Conversation

Scan the current conversation to identify:

  • Which topics were covered
  • Key concepts explained
  • Code examples shown
  • Questions asked and answers given
  • Areas where the learner struggled or excelled

Step 2: Confirm Topics

Use AskUserQuestion to confirm what to include:

Korean:

questions:
  - question: "오늘 학습한 내용을 정리할까요? 포함할 주제를 선택하세요."
    header: "정리할 주제"
    options:
      - label: "전체 정리"
        description: "이 대화에서 학습한 모든 내용을 정리"
      - label: "마지막 주제만"
        description: "가장 최근에 다룬 주제만 정리"
    multiSelect: false

English:

questions:
  - question: "Ready to organize today's notes? Choose what to include."
    header: "Scope"
    options:
      - label: "Everything"
        description: "Summarize all topics from this conversation"
      - label: "Last topic only"
        description: "Only the most recent topic"
    multiSelect: false

Step 3: Generate Note

Create a Markdown note with the structure below.

File path: study-backend/notes/YYYY-MM-DD-<topic-in-english>.md

Note structure:

# <Topic Title>

> Date: YYYY-MM-DD

## Key Concepts

1. **Concept 1**: one-line explanation
2. **Concept 2**: one-line explanation
3. **Concept 3**: one-line explanation

## Diagrams

(Include ASCII diagrams used during the session, if any)

## Code Examples

(Key code examples from the session)

// example code


## Summary

(3-5 lines summarizing the core content)

## Review Questions

1. Question 1?
2. Question 2?
3. Question 3?

---

*Generated by /backend-summary*

Step 4: Save Note

Use the Write tool to save the note to the study-backend/notes/ directory.

Step 5: Wrap Up

After saving, inform the user:


Notes saved: notes/YYYY-MM-DD-.md

- Completed:
- Next suggestion:

Continue learning with /backend-study, or review with /backend-quiz.

Rules

  1. Use the selected language - from Step 0. Only code in English.
  2. Keep it concise - core ideas only, no long-winded explanations
  3. Review questions required - at least 3 self-check questions
  4. No emojis - clean Markdown only

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

38.7%
按下载量换算30

Claude

27.38%
按下载量换算21

Cursor

18.05%
按下载量换算14

Gemini CLI

8.53%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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