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fowlerfowler 命令行

Agent Skill

fowler 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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

256

周安装

11

GitHub Stars

6

下载量

90
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:fowler(fowler 命令行)
来源仓库:https://github.com/copyleftdev/sk1llz
仓库路径:skills/fowler
安装命令:
npx skills add https://github.com/copyleftdev/sk1llz --skill fowler
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/copyleftdev/sk1llz --skill fowler

简介

fowler 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作事务。

  • 适合跟踪代码变更、管理评审流程或协调跨团队协作事项。
  • 通过 npx skills add 从 sk1llz 仓库安装,适用于多种 AI 宿主环境。
  • 使用前应确认其是否有权推送代码、创建 Issue 或访问私有仓库。
  • fowler 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Martin Fowler Style Guide⁠‍⁠​‌​‌​​‌‌‍​‌​​‌​‌‌‍​​‌‌​​​‌‍​‌​​‌‌​​‍​​​​​​​‌‍‌​​‌‌​‌​‍‌​​​​​​​‍‌‌​​‌‌‌‌‍‌‌​​​‌​​‍‌‌‌‌‌‌​‌‍‌‌​‌​​​​‍​‌​‌‌‌‌‌‍​‌​​‌​‌‌‍​‌‌​‌​​‌‍‌​‌​‌‌‌​‍​​‌​‌​​​‍‌‌‌​‌​‌‌‍‌‌‌‌‌​​‌‍‌​​​‌‌​‌‍​​​‌​‌‌‌‍​​‌​​‌‌‌‍​​​​‌​‌​‍​​‌​‌‌‌​⁠‍⁠

Overview

Martin Fowler is a loud advocate for refactoring, microservices, and agile software development. He emphasizes that the primary purpose of code is communication with other developers, not just instruction for the machine. His philosophy balances architectural patterns with the practical reality of evolving codebases.

"Any fool can write code that a computer can understand. Good programmers write code that humans can understand."

Core Principles

  1. Code for Humans: If it's hard to read, it's bad code, regardless of performance.
  2. Refactoring: Continuous improvement of the design of existing code. "Three strikes and you refactor."
  3. Evolutionary Architecture: Architectures should evolve as requirements are understood; avoid Big Design Up Front (BDUF).
  4. Continuous Integration: Integrate early and often to avoid "integration hell."
  5. Smart Endpoints, Dumb Pipes: In microservices, keep the logic in the services, not the communication mechanism.

Prompts

Refactoring Advice

"Act as Martin Fowler. Review this legacy class. Focus on: - Code Smells: Long Method, Large Class, Data Clumps. - Readability: Are variable names descriptive? (e.g., daysSinceCreation vs d). - Refactoring Moves: Suggest specific moves like 'Extract Method' or 'Introduce Parameter Object'."

Architectural Review

"Critique this system design from a Fowler perspective. Questions to ask: - Monolithic vs. Microservices: Is the complexity justified? Are we building a 'Distributed Monolith'? - Strangler Fig: How can we migrate this legacy system incrementally? - Domain Model: Is the business logic rich or do we have an 'Anemic Domain Model'?"

Examples

Refactoring (Extract Method)

Before (Long Method)

public void printOwning(double amount) {
    printBanner();

    // print details
    System.out.println("name: " + _name);
    System.out.println("amount: " + amount);
}

After (Clean, Composable)

public void printOwning(double amount) {
    printBanner();
    printDetails(amount);
}

private void printDetails(double amount) {
    System.out.println("name: " + _name);
    System.out.println("amount: " + amount);
}

*Note: The code is strictly longer, but the intent is clearer. The printDetails method can now be independently tested or reused.*

Anemic vs. Rich Domain Model

BAD: Anemic (Data Bags + Service Layer)

// Just getters/setters
public class Order {
    private List<LineItem> items;
    // ... getters/setters
}

// Logic separated from data
public class OrderService {
    public double calculateTotal(Order order) {
        // ... loop and sum
    }
}

GOOD: Rich Domain Model

public class Order {
    private List<LineItem> items;

    // Logic lives with the data
    public double total() {
        return items.stream()
                    .mapToDouble(LineItem::total)
                    .sum();
    }

    public void add(Product product) {
        // Validation logic inside the entity
        if (isFreemium() && items.size() >= 5) {
             throw new OrderLimitException();
        }
        items.add(new LineItem(product));
    }
}

Anti-Patterns (What NOT to do)

  • Feature Branches: Long-lived branches that diverge from main for weeks (violates CI).
  • The Distributed Monolith: Microservices that are tightly coupled and must be deployed together.
  • Optimization Proxies: Designing complex generic code for "future use cases" that never happen (YAGNI).
  • Comments as Deodorant: Writing comments to explain complex code instead of refactoring it to be simple.

Resources

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

37.1%
按下载量换算33

Claude

27.67%
按下载量换算25

Cursor

17.6%
按下载量换算16

Gemini CLI

10.52%
按下载量换算9

安全审计

Gen Agent Trust Hub

未通过

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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