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arch-patterns拱形图案

Agent Skill

arch-patterns 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

392

周安装

16

GitHub Stars

4

下载量

125
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:arch-patterns(拱形图案)
来源仓库:https://github.com/alphaonedev/openclaw-graph
仓库路径:skills/arch-patterns
安装命令:
npx skills add https://github.com/alphaonedev/openclaw-graph --skill arch-patterns
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/alphaonedev/openclaw-graph --skill arch-patterns

简介

arch-patterns 用于辅助应用软件架构模式与原则,包括 GoF 23 种设计模式、SOLID 原则及 DRY、YAGNI、KISS 等开发准则。

  • 适合在构建新代码库、重构遗留系统或解决设计问题时,生成代码片段、建议重构方案或验证整体设计结构。
  • 使用时需明确当前任务目标,调用技能分析现有代码结构,输出具体实现建议或改进点,并配合实际编码验证效果。
  • 安装前请确认来源仓库权限与维护状态,注意该技能可能涉及文件读写与代码生成,建议在受控环境中使用。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

arch-patterns

Purpose

This skill equips OpenClaw to assist in applying software architecture patterns, including the GoF 23 patterns (e.g., Factory, Singleton, Observer), SOLID principles (Single Responsibility, Open-Closed), and guidelines like DRY (Don't Repeat Yourself), YAGNI (You Aren't Gonna Need It), KISS (Keep It Simple, Stupid), composition over inheritance, and functional programming concepts. Use it to generate code snippets, suggest refactorings, or validate designs.

When to Use

Apply this skill when structuring new codebases, refactoring legacy systems, or resolving design issues. For example, use it for object-oriented designs in languages like Java or Go, or when adopting functional styles in Python. Avoid it for trivial scripts; reserve for projects with >1000 lines or teams >5 members.

Key Capabilities

  • GoF Patterns: Suggest implementations like Factory Method (creates objects without specifying class) or Observer (notifies dependents of state changes).
  • SOLID Principles: Enforce Single Responsibility (one class does one thing) or Dependency Inversion (depend on abstractions).
  • Best Practices: Recommend DRY by extracting repeated code into functions, YAGNI by avoiding premature features, KISS by simplifying complex logic, and favoring composition (e.g., using interfaces) over inheritance.
  • Comparisons: Provide code examples contrasting composition vs. inheritance, or functional vs. imperative approaches.
  • Validation: Analyze user code for anti-patterns and suggest fixes, e.g., detecting God Objects.

Usage Patterns

To use this skill, invoke OpenClaw via CLI or API with specific pattern queries. Start by providing context like language and problem. For CLI, pipe code snippets; for API, send JSON payloads. Always include the skill ID "arch-patterns" in requests. Example flow: Query a pattern, get a code snippet, then refine with follow-ups. Limit queries to one pattern per call for accuracy.

Common Commands/API

Use the OpenClaw CLI with authentication via $OPENCLAW_API_KEY environment variable. Commands require the skill ID.

  • CLI Command: openclaw run arch-patterns --pattern factory --lang go --input "Create a car factory" This generates a Go struct for a Factory pattern.
  • API Endpoint: POST /api/v1/skills/arch-patterns with JSON body: {"pattern": "singleton", "language": "java", "context": "Thread-safe logger"} Response includes a 2-4 line code snippet, e.g., a Java singleton class.
  • Config Format: Use YAML for advanced configs, e.g., skill: arch-patterns options: pattern: strategy validate: true Pass via --config path/to/config.yaml in CLI.
  • Flags: Add --validate to check existing code, or --refactor to suggest changes.

Integration Notes

Integrate this skill into workflows by wrapping it in scripts or IDE plugins. For example, in a CI/CD pipeline, call the API after code commits to enforce SOLID. Set $OPENCLAW_API_KEY for auth. If using with other skills (e.g., code-generation), chain requests: first query arch-patterns for design, then pass output to a compilation skill. Ensure inputs are under 500 characters; split larger codebases. For functional programming, specify paradigms like "fp" in queries to bias responses.

Error Handling

Handle errors by checking response codes: HTTP 400 for invalid patterns (e.g., misspelled "singlton"), 401 for missing $OPENCLAW_API_KEY, or 429 for rate limits. In CLI, errors return as JSON with "error": "Pattern not found". Retry transient errors with exponential backoff. Validate inputs before sending; for example, if a query lacks --lang, OpenClaw defaults to English but errors on code gen. Log errors with timestamps and include full request payloads for debugging.

Concrete Usage Examples

  1. Example 1: Implementing Factory Pattern in Go Command: openclaw run arch-patterns --pattern factory --lang go --input "Vehicle creator" Output: A snippet like: type Factory interface {Create() Vehicle} func NewCarFactory() Factory {return &CarFactory{}} This creates a Factory for vehicles, ensuring DRY by centralizing object creation.
  2. Example 2: Refactoring for SOLID in Java API Call: POST /api/v1/skills/arch-patterns with body: {"pattern": "solid", "principle": "single-responsibility", "code": "public class UserService {/* handles users and logging */}"} Response: Suggests splitting into: public class UserService {/* only user logic */} public class Logger {/* logging logic */} This applies Single Responsibility to improve maintainability.

Graph Relationships

  • Related to: se-architecture (parent cluster), patterns (tag overlap), solid (embedding hint), factory (specific pattern), singleton (pattern), observer (pattern), strategy (pattern).
  • Connections: Links to code-generation for implementation, debugging for anti-pattern detection, and optimization for performance tweaks based on KISS/YAGNI.

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

35.88%
按下载量换算45

Claude

31.72%
按下载量换算40

Cursor

19.03%
按下载量换算24

Gemini CLI

9.93%
按下载量换算12

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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