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abstraction-concrete-examples抽象具体例子

Agent Skill

abstraction-concrete-examples 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

1,285

周安装

52

GitHub Stars

85

下载量

404
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

3

许可证

MIT

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:abstraction-concrete-examples(抽象具体例子)
来源仓库:https://github.com/lyndonkl/claude
仓库路径:skills/abstraction-concrete-examples
安装命令:
npx skills add https://github.com/lyndonkl/claude --skill abstraction-concrete-examples
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/lyndonkl/claude --skill abstraction-concrete-examples

简介

用于将抽象概念逐层展开为具体实现示例,建立清晰的认知阶梯。

  • 通过 3-5 级递进结构连接通用原则与实际代码或设计细节。
  • 适用于软件架构、教育讲解或复杂系统建模中的概念具象化。
  • 安装命令:npx skills add https://github.com/lyndonkl/claude --skill abstraction-concrete-examples
  • 支持 Codex、Claude、Cursor、Gemini CLI,通过 GitHub 安装。

SKILL.md

Abstraction Ladder Framework

Table of Contents

- 1. Gather Requirements - 2. Choose Approach - 3. Build the Ladder - 4. Validate Quality - 5. Deliver and Explain

The ladder uses 3-5 levels connecting universal principles to concrete details. Example:

  • L1: "Software should be maintainable"
  • L2: "Use modular architecture"
  • L3: "Apply dependency injection"
  • L4: "UserService injects IUserRepository"
  • L5: constructor(private repo: IUserRepository) {}

Workflow

Copy this checklist and track your progress:

Abstraction Ladder Progress:
- [ ] Step 1: Gather requirements
- [ ] Step 2: Choose approach
- [ ] Step 3: Build the ladder
- [ ] Step 4: Validate quality
- [ ] Step 5: Deliver and explain

Step 1: Gather requirements

Ask the user to clarify topic, purpose, audience, scope (suggest 4 levels), and starting point (top-down, bottom-up, or middle-out). This ensures the ladder serves the user's actual need.

Step 2: Choose approach

For straightforward cases with clear topics → Use resources/template.md. For complex cases with multiple parallel ladders or unusual constraints → Study resources/methodology.md. To see examples → Show user resources/examples/ (api-design.md, hiring-process.md).

Step 3: Build the ladder

Create abstraction-concrete-examples.md with topic, 3-5 distinct abstraction levels, connections between levels, and 2-3 edge cases. Ensure top level is universal, bottom level has measurable specifics, and transitions are logical. Direction options: top-down (principle → examples), bottom-up (observations → principles), or middle-out (familiar → both directions).

Step 4: Validate quality

Self-assess using resources/evaluators/rubric_abstraction_concrete_examples.json. Check: each level is distinct, transitions are clear, top level is universal, bottom level is specific, edge cases reveal insights, assumptions are stated, no topic drift, serves stated purpose. Minimum standard: Average score ≥ 3.5. If any criterion < 3, revise before delivering.

Step 5: Deliver and explain

Present the completed abstraction-concrete-examples.md file. Highlight key insights revealed by the ladder, note interesting edge cases or tensions discovered, and suggest applications based on their original purpose.

Common Patterns

For communication across levels:

  • Share L1-L2 with executives (strategy/principles)
  • Share L2-L3 with managers (approaches/methods)
  • Share L3-L5 with implementers (details/specifics)

For validation:

  • Check if L5 reality matches L1 principles
  • Identify gaps between adjacent levels
  • Find where principles break down

For design:

  • Use L1-L2 to guide decisions
  • Use L3-L4 to specify requirements
  • Use L5 for actual implementation

Guardrails

Do:

  • State assumptions explicitly at each level
  • Test edge cases that challenge the principles
  • Make concrete levels truly concrete (numbers, measurements, specifics)
  • Make abstract levels broadly applicable (not domain-locked)
  • Ensure each level is understandable given the previous level

Don't:

  • Use vague language ("good", "better", "appropriate") without defining terms
  • Make huge conceptual jumps between levels
  • Let different levels drift to different topics
  • Skip the validation step (the rubric check ensures quality)
  • Front-load expertise - explain clearly for the target audience

Quick Reference

  • Template for standard cases: resources/template.md
  • Methodology for complex cases: resources/methodology.md
  • Examples to study: resources/examples/api-design.md, resources/examples/hiring-process.md
  • Quality rubric: resources/evaluators/rubric_abstraction_concrete_examples.json

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

04

需要参考平台分布和安装热度时

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

补充不同宿主或平台的使用分布数据

能力 5

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

Claude Code

28.1%
按下载量换算114

Gemini CLI

25.8%
按下载量换算104

Antigravity

18.57%
按下载量换算75

windsurf

13.16%
按下载量换算53

github-copilot

8.24%
按下载量换算33

Codex

3.26%
按下载量换算13

安全审计

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权限和风险

需要联网

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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。

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