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architecture架构

Agent Skill

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

总安装

235

周安装

10

GitHub Stars

1

下载量

82
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:architecture(架构)
来源仓库:https://github.com/olamedia/analytics-skills
仓库路径:skills/architecture
安装命令:
npx skills add https://github.com/olamedia/analytics-skills --skill architecture
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/olamedia/analytics-skills --skill architecture

简介

architecture 用于辅助数据整理、表格处理、CSV/Excel 分析和指标计算。

  • 适合清洗字段、汇总数据、发现异常或生成统计口径说明。
  • 通过 npx skills add 命令从 GitHub 仓库安装,需确认权限与维护状态。
  • 使用时需确认数据来源和时间范围,避免将样本当全量事实。
  • 涉及敏感数据导出时应先确认脱敏方式和操作边界。

SKILL.md

Architecture

Design the technical architecture for a set of requirements: components, data flow, dependency graph, tech stack decisions, integration points, and risks.

When to Use

  • A PRD exists and the technical approach needs to be designed
  • Before task breakdown — architecture defines WHAT components exist; breakdown defines the ORDER to build them
  • When architectural decisions need to be documented (data model, API design, component structure)
  • When integration with existing systems requires explicit mapping

When NOT to use: The technical approach is already documented in an architecture.md, or the change is trivial (single file, no architectural decisions).

Input

  • prd.md from the artifact folder (required)
  • context-map.md from the artifact folder (required — for tech stack and existing patterns)
  • brainstorming.md from the artifact folder (recommended — for chosen direction rationale)

Output

  • architecture.md saved to the artifact folder (see references/formats.md for template)

The Process

Step 1: Load Upstream Artifacts

Read prd.md, context-map.md, and optionally brainstorming.md from the artifact folder. If prd.md or context-map.md is missing, tell the user which skill to run first.

Also check for project documentation listed in references/context-sources.md (docs/TechStack.md, docs/ProjectStructure.md). If available, use them for tech stack details and project structure when designing components and mapping integration points.

Extract:

  • User stories and functional requirements (from PRD)
  • Tech stack, patterns, and conventions (from context map)
  • Chosen direction and trade-offs accepted (from brainstorming)

Step 2: Identify Components

From the PRD requirements, identify the distinct components needed:

  • Data layer: schemas, models, migrations
  • Backend logic: services, business rules, validation
  • API layer: endpoints, routes, middleware
  • Frontend components: views, forms, widgets
  • Shared utilities: helpers, types, constants

For each component, define:

  • Responsibility — what it does (single responsibility)
  • Location — where it lives in the project (follow existing conventions from context map)
  • Interface — key functions, endpoints, or props it exposes
  • Dependencies — what other components it needs

Follow existing codebase patterns. If the project uses a service layer pattern, use it. If components are colocated with tests, follow that. Do not invent new patterns when existing ones work.

Step 3: Map Data Flow

Describe how data moves through the system for the key user stories:

[User Action]
  → [Frontend Component] (handles UI state)
    → [API Call] (request to backend)
      → [Route Handler] (validation, auth)
        → [Service] (business logic)
          → [Database] (persistence)
        ← [Response]
      ← [API Response]
    ← [UI Update] (re-render with new data)

Cover the primary happy path and the most important error path.

Step 4: Build Dependency Graph

Map what must be built before what. This directly feeds the task breakdown:

[Database Schema / Migrations]
    ├── [Types / Interfaces]
    │       ├── [Service Layer]
    │       │       ├── [API Endpoints]
    │       │       │       └── [Frontend API Client]
    │       │       │               └── [UI Components]
    │       │       └── [Validation Logic]
    │       └── [Test Utilities]
    └── [Seed Data]

Implementation order follows the graph bottom-up: foundations first.

Step 5: Document Tech Decisions

For every non-trivial technical choice, record:

DecisionChoiceRationale
State management[e.g. URL params + React state][Why — aligns with existing pattern, simpler than Redux for this scope]
Data fetching[e.g. SWR with optimistic updates][Why — already in the stack, handles caching]
Validation[e.g. Zod schemas shared client/server][Why — single source of truth, TypeScript inference]

Do not introduce new dependencies without justification. Check the existing stack first (context map).

Step 6: Map Integration Points

How does this feature connect to what already exists?

  • Which existing files will be modified?
  • Which existing APIs will be consumed?
  • Which existing components will be extended or composed?
  • Are there database schema changes that affect other features?

Step 7: Define Boundaries

State what is and isn't allowed during implementation:

  • Always: [e.g. follow existing naming conventions, write tests for new logic, use existing error handling patterns]
  • Ask first: [e.g. adding new dependencies, changing shared types, modifying database schema]
  • Never: [e.g. bypass validation, commit secrets, modify unrelated code]

Step 8: Identify Risks

RiskImpactMitigation
[e.g. Schema migration breaks existing queries]High[Run migration in staging first, write rollback]
[e.g. New endpoint conflicts with existing route]Medium[Check route registry before adding]

Flag high-risk items — these should be tackled early in the task breakdown (fail fast).

Step 9: Write and Save Architecture Document

Write architecture.md to the artifact folder using the template from references/formats.md.

Present the architecture to the user for review. Walk through:

  1. Component overview
  2. Data flow for the primary user story
  3. Key tech decisions and their rationale
  4. Any risks or open questions

Apply requested changes, then save.

Announce the saved path:

"Architecture saved to [path]/architecture.md."

Common Rationalizations

RationalizationReality
"I'll figure out the architecture while coding"Architecture decisions made under implementation pressure are worse. 15 minutes of design saves hours of refactoring.
"This is too small for an architecture document"If it touches 3+ files or makes a tech decision, write it down. A short document is fine.
"The PRD already describes the technical approach"PRD describes WHAT. Architecture describes HOW — components, data flow, dependencies. Different concerns.
"I know the codebase, I don't need to document integration points"The task breakdown skill and any agent doing implementation will need this documented. Write it for them.
"We can refactor later if the architecture is wrong"Wrong architecture is the most expensive kind of rework. Get it right in a document before committing to code.

Red Flags

  • No dependency graph — implementation order will be wrong
  • Components that don't follow existing codebase patterns
  • New dependencies added without checking what's already in the stack
  • No integration points mapped — feature will break existing functionality
  • Empty risks section — every architecture has risks
  • Writing code during the architecture phase

Verification

Before handing off, confirm:

  • All upstream artifacts loaded (PRD, context map)
  • Components identified with responsibilities, locations, and interfaces
  • Data flow documented for primary user story
  • Dependency graph shows implementation order
  • Tech decisions documented with rationale
  • Integration points with existing system mapped
  • Boundaries defined (Always / Ask first / Never)
  • Risks identified with mitigations
  • User has reviewed and approved the architecture
  • architecture.md saved to artifact folder

Next

"Architecture complete. Next recommended skill: breakdown — slice this into ordered, interlinked development tasks."

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

33.54%
按下载量换算28

Claude

32.7%
按下载量换算27

Cursor

17.94%
按下载量换算15

Gemini CLI

9.22%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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