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swift-architecture-skillSwift 架构技能

Agent Skill

swift-architecture-skill 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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

21,356

周安装

908

GitHub Stars

公开资料未说明

下载量

7,482
OpenClaw

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

MIT-0

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:swift-architecture-skill(Swift 架构技能)
来源仓库:https://github.com/efremidze/swift-architecture-skill
安装命令:
openclaw skills install swift-architecture-skill
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install swift-architecture-skill

简介

swift-architecture-skill 提供 Swift 架构设计与审查清单支持。

  • 适合在 OpenClaw 中设计新功能时参考最佳实践与模式模板。
  • 通过 clawhub 安装,包含特定于平台的架构剧本。
  • 使用前应核对目标平台(iOS/macOS/watchOS)的适配范围。
  • 推荐给 Swift 语言主导的移动应用开发者。

SKILL.md

name
swift-architecture-skill
description
Agent Skill for Swift architecture design and implementation patterns, with architecture-specific playbooks and review checklists. Use when designing new features, refactoring existing modules, reviewing pull requests, or debugging maintainability issues in SwiftUI/UIKit projects and you need concrete guidance for MVVM, MVI, TCA, Clean Architecture, VIPER, or Reactive patterns.

Swift Architecture Skill

Overview

Use this skill to pick the best Swift architecture playbook for SwiftUI/UIKit codebases and apply it to the user’s task.

Workflow

Step 1: Analyze the Request Context

Before selecting an architecture, capture:

  • task type (new feature, refactor, PR review, debugging)
  • UI stack (SwiftUI, UIKit, or mixed)
  • scope (single screen, multi-screen, app-wide)
  • existing conventions to preserve

Step 2: Select the Architecture

If the user explicitly names an architecture, treat it as the initial candidate and run a fit check before committing:

  • validate against UI stack fit (SwiftUI/UIKit/mixed), state complexity, effect orchestration needs, team familiarity, and existing codebase conventions
  • if it fits, proceed with the requested architecture
  • if it mismatches key constraints, explicitly explain the mismatch and recommend the closest-fit alternative from references/selection-guide.md
  • if the user still insists on a mismatched architecture, proceed with a risk-mitigated plan and state the risks up front

When no architecture is named, load references/selection-guide.md and infer the best fit from stated constraints (state complexity, team familiarity, testing goals, effect orchestration needs, and framework preferences). Explain the recommendation briefly.

Architecture reference mapping:

  • MVVM → references/mvvm.md
  • MVI → references/mvi.md
  • TCA → references/tca.md
  • Clean Architecture → references/clean-architecture.md
  • VIPER → references/viper.md
  • Reactive → references/reactive.md

Step 3: Analyze Existing Codebase (When Applicable)

When code already exists:

  • detect current architecture and DI style
  • note concurrency model (async/await, Combine, GCD, mixed)
  • align recommendations to local conventions

Step 4: Produce Concrete Deliverables

Read the selected architecture reference and convert its guidance into deliverables tailored to the user's request:

  • File and module structure: directory layout with file names specific to the feature
  • State and dependency boundaries: concrete types, protocols, and injection points
  • Async strategy: cancellation, actor isolation, and error paths
  • Testing strategy: what to test, how to stub dependencies, and example test structure
  • Migration path (for refactors): incremental steps to move from current to target architecture
  • UI stack adaptation: where SwiftUI and UIKit guidance should differ for the chosen architecture

Step 5: Validate with Checklist

End with the architecture-specific PR review checklist from the reference file, adapted to the user's feature.

Output Requirements

  • Keep recommendations scoped to the requested feature or review task.
  • Prefer protocol-based dependency injection and explicit state modeling.
  • Flag anti-patterns found in existing code and provide direct fixes.
  • Include cancellation and error handling in all async flows.
  • For explicit architecture requests, include a short fit result (fit or mismatch) with 1-2 reasons.
  • For mismatch cases, include one closest-fit alternative and why it better matches the stated constraints.
  • When writing code, include only the patterns relevant to the task — do not dump entire playbooks.
  • Treat reference snippets as illustrative by default; add full compile scaffolding only if the user asks for runnable code.
  • Ask only minimum blocking questions; otherwise proceed with explicit assumptions stated up front.
  • When reviewing PRs, use the architecture-specific checklist and call out specific violations with line-level fixes.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

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

OpenClaw

87.76%
按下载量换算6,566

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

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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