Token导航 LogoToken导航

Agent Skill · 前端设计

senior-architect(高级建筑师)

senior-architect 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。

senior-architect 是前端设计类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为可写文件;许可证信息还不明确,第三方扫描已通过,按安装量在前端设计类的 10,216 个 Skill 里排第 4,600。

总安装 847周安装 36GitHub Stars 52下载 297核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:senior-architect(高级建筑师)
来源仓库:https://github.com/aaaaqwq/claude-code-skills
仓库路径:skills/senior-architect
安装命令:
npx skills add https://github.com/aaaaqwq/claude-code-skills --skill senior-architect
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/aaaaqwq/claude-code-skills --skill senior-architect

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

senior-architect 协助完成架构设计与技术选型,适用于大型项目的结构分析与模式推荐。支持从代码库自动生成架构图、分析依赖关系,并提供微服务与单体架构的对比建议。集成数据库选择、技术栈评估和工作流模板,助力制定可持续演进的系统方案。

安装命令为 npx skills add https://github.com/aaaaqwq/claude-code-skills --skill senior-architect,基于 Python 脚本执行。生成的图表与建议仅供参考,实际实施前需结合业务上下文与安全要求进行人工复核。

来源仓库内路径:skills/senior-architect

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/aaaaqwq/claude-code-skills --skill senior-arch…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要可写文件,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

senior-architect 怎么安装?

在终端执行 npx skills add https://github.com/aaaaqwq/claude-code-skills --skill senior-architect。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

senior-architect 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

senior-architect 需要什么权限?

权限级别是可写文件。该 Skill 可能写入或修改本地文件,使用前需要确认目标目录和修改范围。

senior-architect 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

senior-architect 用的人多吗?

公开数据是累计安装 847 次,近一周安装 36 次,下载 297 次,GitHub 52 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

senior-architect 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理前端设计类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
senior-architect

高级建筑师 · 本页

84752可写文件未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Senior Architect

Architecture design and analysis tools for making informed technical decisions.

Table of Contents

- Architecture Diagram Generator - Dependency Analyzer - Project Architect

- Database Selection - Architecture Pattern Selection - Monolith vs Microservices


Quick Start

# Generate architecture diagram from project
python scripts/architecture_diagram_generator.py ./my-project --format mermaid

# Analyze dependencies for issues
python scripts/dependency_analyzer.py ./my-project --output json

# Get architecture assessment
python scripts/project_architect.py ./my-project --verbose

Tools Overview

1. Architecture Diagram Generator

Generates architecture diagrams from project structure in multiple formats.

Solves: "I need to visualize my system architecture for documentation or team discussion"

Input: Project directory path Output: Diagram code (Mermaid, PlantUML, or ASCII)

Supported diagram types:

  • component - Shows modules and their relationships
  • layer - Shows architectural layers (presentation, business, data)
  • deployment - Shows deployment topology

Usage:

# Mermaid format (default)
python scripts/architecture_diagram_generator.py ./project --format mermaid --type component

# PlantUML format
python scripts/architecture_diagram_generator.py ./project --format plantuml --type layer

# ASCII format (terminal-friendly)
python scripts/architecture_diagram_generator.py ./project --format ascii

# Save to file
python scripts/architecture_diagram_generator.py ./project -o architecture.md

Example output (Mermaid):

graph TD
    A[API Gateway] --> B[Auth Service]
    A --> C[User Service]
    B --> D[(PostgreSQL)]
    C --> D

2. Dependency Analyzer

Analyzes project dependencies for coupling, circular dependencies, and outdated packages.

Solves: "I need to understand my dependency tree and identify potential issues"

Input: Project directory path Output: Analysis report (JSON or human-readable)

Analyzes:

  • Dependency tree (direct and transitive)
  • Circular dependencies between modules
  • Coupling score (0-100)
  • Outdated packages

Supported package managers:

  • npm/yarn (package.json)
  • Python (requirements.txt, pyproject.toml)
  • Go (go.mod)
  • Rust (Cargo.toml)

Usage:

# Human-readable report
python scripts/dependency_analyzer.py ./project

# JSON output for CI/CD integration
python scripts/dependency_analyzer.py ./project --output json

# Check only for circular dependencies
python scripts/dependency_analyzer.py ./project --check circular

# Verbose mode with recommendations
python scripts/dependency_analyzer.py ./project --verbose

Example output:

Dependency Analysis Report
==========================
Total dependencies: 47 (32 direct, 15 transitive)
Coupling score: 72/100 (moderate)

Issues found:
- CIRCULAR: auth → user → permissions → auth
- OUTDATED: lodash 4.17.15 → 4.17.21 (security)

Recommendations:
1. Extract shared interface to break circular dependency
2. Update lodash to fix CVE-2020-8203

3. Project Architect

Analyzes project structure and detects architectural patterns, code smells, and improvement opportunities.

Solves: "I want to understand the current architecture and identify areas for improvement"

Input: Project directory path Output: Architecture assessment report

Detects:

  • Architectural patterns (MVC, layered, hexagonal, microservices indicators)
  • Code organization issues (god classes, mixed concerns)
  • Layer violations
  • Missing architectural components

Usage:

# Full assessment
python scripts/project_architect.py ./project

# Verbose with detailed recommendations
python scripts/project_architect.py ./project --verbose

# JSON output
python scripts/project_architect.py ./project --output json

# Check specific aspect
python scripts/project_architect.py ./project --check layers

Example output:

Architecture Assessment
=======================
Detected pattern: Layered Architecture (confidence: 85%)

Structure analysis:
  ✓ controllers/  - Presentation layer detected
  ✓ services/     - Business logic layer detected
  ✓ repositories/ - Data access layer detected
  ⚠ models/       - Mixed domain and DTOs

Issues:
- LARGE FILE: UserService.ts (1,847 lines) - consider splitting
- MIXED CONCERNS: PaymentController contains business logic

Recommendations:
1. Split UserService into focused services
2. Move business logic from controllers to services
3. Separate domain models from DTOs

Decision Workflows

Database Selection Workflow

Use when choosing a database for a new project or migrating existing data.

Step 1: Identify data characteristics

CharacteristicPoints to SQLPoints to NoSQL
Structured with relationships✓
ACID transactions required✓
Flexible/evolving schema✓
Document-oriented data✓
Time-series data✓ (specialized)

Step 2: Evaluate scale requirements

  • <1M records, single region → PostgreSQL or MySQL
  • 1M-100M records, read-heavy → PostgreSQL with read replicas
  • 100M records, global distribution → CockroachDB, Spanner, or DynamoDB
  • High write throughput (>10K/sec) → Cassandra or ScyllaDB

Step 3: Check consistency requirements

  • Strong consistency required → SQL or CockroachDB
  • Eventual consistency acceptable → DynamoDB, Cassandra, MongoDB

Step 4: Document decision Create an ADR (Architecture Decision Record) with:

  • Context and requirements
  • Options considered
  • Decision and rationale
  • Trade-offs accepted

Quick reference:

PostgreSQL → Default choice for most applications
MongoDB    → Document store, flexible schema
Redis      → Caching, sessions, real-time features
DynamoDB   → Serverless, auto-scaling, AWS-native
TimescaleDB → Time-series data with SQL interface

Architecture Pattern Selection Workflow

Use when designing a new system or refactoring existing architecture.

Step 1: Assess team and project size

Team SizeRecommended Starting Point
1-3 developersModular monolith
4-10 developersModular monolith or service-oriented
10+ developersConsider microservices

Step 2: Evaluate deployment requirements

  • Single deployment unit acceptable → Monolith
  • Independent scaling needed → Microservices
  • Mixed (some services scale differently) → Hybrid

Step 3: Consider data boundaries

  • Shared database acceptable → Monolith or modular monolith
  • Strict data isolation required → Microservices with separate DBs
  • Event-driven communication fits → Event-sourcing/CQRS

Step 4: Match pattern to requirements

RequirementRecommended Pattern
Rapid MVP developmentModular Monolith
Independent team deploymentMicroservices
Complex domain logicDomain-Driven Design
High read/write ratio differenceCQRS
Audit trail requiredEvent Sourcing
Third-party integrationsHexagonal/Ports & Adapters

See references/architecture_patterns.md for detailed pattern descriptions.


Monolith vs Microservices Decision

Choose Monolith when:

  • Team is small (<10 developers)
  • Domain boundaries are unclear
  • Rapid iteration is priority
  • Operational complexity must be minimized
  • Shared database is acceptable

Choose Microservices when:

  • Teams can own services end-to-end
  • Independent deployment is critical
  • Different scaling requirements per component
  • Technology diversity is needed
  • Domain boundaries are well understood

Hybrid approach: Start with a modular monolith. Extract services only when:

  1. A module has significantly different scaling needs
  2. A team needs independent deployment
  3. Technology constraints require separation

Reference Documentation

Load these files for detailed information:

FileContainsLoad when user asks about
references/architecture_patterns.md9 architecture patterns with trade-offs, code examples, and when to use"which pattern?", "microservices vs monolith", "event-driven", "CQRS"
references/system_design_workflows.md6 step-by-step workflows for system design tasks"how to design?", "capacity planning", "API design", "migration"
references/tech_decision_guide.mdDecision matrices for technology choices"which database?", "which framework?", "which cloud?", "which cache?"

Tech Stack Coverage

Languages: TypeScript, JavaScript, Python, Go, Swift, Kotlin, Rust Frontend: React, Next.js, Vue, Angular, React Native, Flutter Backend: Node.js, Express, FastAPI, Go, GraphQL, REST Databases: PostgreSQL, MySQL, MongoDB, Redis, DynamoDB, Cassandra Infrastructure: Docker, Kubernetes, Terraform, AWS, GCP, Azure CI/CD: GitHub Actions, GitLab CI, CircleCI, Jenkins


Common Commands

# Architecture visualization
python scripts/architecture_diagram_generator.py . --format mermaid
python scripts/architecture_diagram_generator.py . --format plantuml
python scripts/architecture_diagram_generator.py . --format ascii

# Dependency analysis
python scripts/dependency_analyzer.py . --verbose
python scripts/dependency_analyzer.py . --check circular
python scripts/dependency_analyzer.py . --output json

# Architecture assessment
python scripts/project_architect.py . --verbose
python scripts/project_architect.py . --check layers
python scripts/project_architect.py . --output json

Getting Help

  1. Run any script with --help for usage information
  2. Check reference documentation for detailed patterns and workflows
  3. Use --verbose flag for detailed explanations and recommendations

平台分布

Claude

33.29%
按下载量换算99

Codex

32.21%
按下载量换算96

Cursor

17.08%
按下载量换算51

Gemini CLI

9.65%
按下载量换算29

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

可写文件

该 Skill 可能写入或修改本地文件,使用前需要确认目标目录和修改范围。

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。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills