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Agent Skill · 研究检索

architect(架构师)

architect 用于查找、检索和筛选相关信息,适合在 Local Agent 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。

architect 是研究检索类 Agent Skill,可用宿主为 Local Agent,通过unknown获取,权限为调用外部服务;许可证信息还不明确,暂无第三方扫描结果,按安装量在研究检索类的 73,675 个 Skill 里排第 64,959。

总安装 291周安装 12下载 95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。
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:architect(架构师)
来源仓库:https://smithery.ai
仓库路径:architect
安装命令:
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。当前暂无明确安装命令,请以来源页面说明为准。

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

architect 用于系统架构方案检索与评估。适用于技术决策前的参考资料查找。可按规模、行业或技术栈筛选案例。不替代深度技术论证。architect 属于研究检索类 Skill,可作为该场景下的辅助能力补充。建议交叉比对多个来源的观点。适用宿主包括 Local Agent,接入前应确认版本、权限和运行环境要求。

来源仓库内路径: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 Local Agent;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

    没有现成安装命令,按unknown的说明从来源页面获取,仓库路径是 architect。

  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

    它需要调用外部服务,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

architect 怎么安装?

公开资料没有给出可以直接复制的命令,需要按来源页面说明手动安装,仓库内路径为 architect。

architect 支持哪些 AI 工具?

公开资料标注支持 Local Agent。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。

architect 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。

architect 用的人多吗?

公开数据是累计安装 291 次,近一周安装 12 次,下载 95 次。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。

architect 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 Local Agent 一种宿主,触发方式和使用习惯不用来回切换。

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。
  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 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 Local Agent,想直接扩展它能力的人。
  • 需要处理研究检索类任务、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。
  • 要求有安全扫描结论才肯安装的团队。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
architect

架构师 · 本页

291—调用外部服务未明确未收录

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

Architect Skill

Design software architecture for the personal_assistant project following established patterns and principles. In PRD the user will add "!IMPORTANT!" for items you must address. Always evaluate this section and propose 1 to 2 solutions to the highlighted issue.

Architecture Principles

This project follows Domain Driven Design and Onion Architecture:

┌─────────────────────────────────────────────────────┐
│                   Controllers                       │
│              (Presentation Layer)                   │
│         HTTP handling, request validation           │
├─────────────────────────────────────────────────────┤
│                    Services                         │
│              (Business/Domain Layer)                │
│    Core business logic, domain rules, validation    │
├─────────────────────────────────────────────────────┤
│                  Repositories                       │
│              (Data Access Layer)                    │
│         Database operations, data mapping           │
├─────────────────────────────────────────────────────┤
│                    Database                         │
│                   (SQL Server)                      │
└─────────────────────────────────────────────────────┘

Database

The project uses SQL Server (not PostgreSQL). All raw SQL scripts in TDDs must use SQL Server syntax:

  • INT IDENTITY(1,1) for auto-increment (not SERIAL)
  • DATETIME2 for timestamps (not TIMESTAMPTZ)
  • BIT for booleans (not BOOLEAN)
  • UNIQUEIDENTIFIER for GUIDs (not UUID)
  • NVARCHAR for Unicode strings
  • Square brackets [TableName] for identifiers (not double quotes)
  • CONSTRAINT [FK_Name] FOREIGN KEY syntax for foreign keys

Backwards Compatibility

All backend changes must be 100% backwards compatible for drops (memories) and access to drops (which users have access to drops they or others created).

Design Process

For every request, always create an md file and save it to directory docs/tdd. Most times you will be referrencing PRDs in docs/prd. You can ask /product-manager to create a prd if you don't have enough requirements to do a quality design.

1. Understand Requirements

  • Clarify the feature/change scope
  • Identify affected domains
  • Determine integration points with existing code

2. Identify Components

For Backend Features:

  • Which controllers need modification/creation?
  • What services handle the business logic?
  • What repositories are needed for data access?
  • What domain models represent the data?
  • What request/response models are needed?

For Frontend Features:

  • !IMPORTANT! - use fyli-fe-v2 project. fyli-fe is deprecated and only used for reference.
  • Which views/pages are affected?
  • What components need creation/modification?
  • What composables provide shared logic?
  • What Pinia stores manage state?
  • What service layer handles API calls?
  • Use docs/FRONTEND_STYLE_GUIDE.md for all style decisions.
  • Request the /designer to review proposed frontend changes.

3. Design Patterns to Apply

Factory Pattern - Use instead of if/else chains or switch statements:

// Good: Factory pattern via dictionary or DI registration
var handlerFactory = new Dictionary<string, INotificationHandler>
{
    ["email"] = new EmailHandler(),
    ["sms"] = new SmsHandler(),
    ["push"] = new PushHandler()
};
var handler = handlerFactory[type];

// Avoid: Switch statements
switch (type)
{
    case "email": ...
    case "sms": ...
}

Repository Pattern - Abstract database operations:

public interface IUserRepository
{
    Task<User?> FindByIdAsync(string id);
    Task<User> SaveAsync(User user);
}

Service Pattern - Encapsulate business logic:

public class AgendaService
{
    private readonly ICalendarRepository calendarRepo;
    private readonly ITodoRepository todoRepo;

    public AgendaService(ICalendarRepository calendarRepo, ITodoRepository todoRepo)
    {
        this.calendarRepo = calendarRepo;
        this.todoRepo = todoRepo;
    }

    public async Task<Agenda> GenerateDailyAgendaAsync(string userId, DateTime date)
    {
        // Business logic here
    }
}

Composable Pattern (Frontend) - Share reactive logic:

// useCalendar.ts
export function useCalendar() {
  const events = ref<CalendarEvent[]>([]);
  const loading = ref(false);

  async function fetchEvents(range: DateRange) { ... }

  return { events, loading, fetchEvents };
}

4. Data Flow Design

Request → Controller → Service → Repository → Database
                ↓
         Validation
                ↓
         Domain Logic
                ↓
Database → Repository → Service → Controller → Response

Model Transformations:

  • Controller receives RequestDTO → transforms to DomainModel
  • Service works with DomainModel
  • Repository transforms DomainModel ↔ DatabaseEntity
  • Controller transforms DomainModel → ResponseDTO

5. Error Handling Strategy

  • Throw typed exceptions immediately when errors occur
  • Let global error handler catch and format responses
  • Define custom exception types for business errors:
public class NotFoundException : AppException { ... }
public class ValidationException : AppException { ... }
public class AuthorizationException : AppException { ... }

6. Testing Strategy

Following TDD approach:

  1. Write failing tests first
  2. Implement minimum code to pass
  3. Refactor while keeping tests green

Test Boundaries:

  • Unit tests: Services, Repositories, Utilities
  • Integration tests: API endpoints
  • Frontend: Component tests, Store tests, Composable tests, Service tests
Full testing standards: See docs/TESTING_BEST_PRACTICES.md for detailed backend and frontend testing patterns, examples, and checklists.

Architecture Output Format

When designing a feature, provide:

Overview

Brief description of the architectural approach

Component Diagram

Visual representation of component relationships

File Structure

cimplur-core/
├── Controllers/
│   └── [NewController]Controller.cs
├── Services/
│   └── [NewService]Service.cs
├── Repositories/
│   └── [NewRepo]Repository.cs
└── Models/
    └── [NewModel].cs

Interface Definitions

Key interfaces and types needed

Data Flow

Step-by-step flow through the system

Database Changes

This project uses EF Core Code-First migrations. Never write raw SQL for schema changes. To add/modify tables:

  1. Create/update POCO entity class in cimplur-core/Memento/Domain/Entities/
  2. Add FK and index configuration in StreamContext.cs → OnModelCreating
  3. Add DbSet<T> property to StreamContext.cs
  4. Generate migration: cd cimplur-core/Memento && dotnet ef migrations add <Name>

When documenting schema in TDDs, show the POCO entity, the OnModelCreating configuration, and the DbSet line.

Raw SQL MUST be included as a reference comment.

Always create the raw sql for each migration and save it in the TDD. That is the way the code gets to production (we don't use EF migrations in production).

Database Schema

Do not use jsonb fields if it can be avoided.

API Endpoints

New or modified endpoints

Frontend Components

Vue components and their responsibilities

Testing Plan

What tests are needed and at what level. Always add tests for both frontend and backend changes.

Implementation Order

Recommended sequence for building the feature

Review

After creating the TDD, use the Skill tool to invoke /code-review (e.g., Skill: code-review) to review the TDD and get feedback. Do NOT use the Task tool with subagent_type "code-review" — code-review is a skill, not a subagent type. Display feedback to the user to decide if to address.

Archiving

When a TDD is complete (all phases built and reviewed), move the corresponding PRD from docs/prd/ to docs/prd/archive/.

Project-Specific Considerations

  • Calendar Integration: Consider Google Calendar and Outlook APIs
  • Notes/Reminders: Auto-organization requires AI/categorization logic
  • Daily Agenda: Combines calendar, todos, and priority algorithms
  • Weekly Summary: Aggregation of completed items and accomplishments
  • Focus Planning: AI-assisted priority recommendations

Remember: Keep methods under 100 lines, favor composability, and always consider testability in designs.

平台分布

Local Agent

97.91%
按下载量换算93

安全审计

暂无安全审计结果可展示。

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。

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