技能版本 1.0.0

architecture-decision-records

Write and maintain Architecture Decision Records (ADRs) following best practices for technical decision documentation. Use when documenting significant technical decisions, reviewing past architectural choices, or establishing decision processes.

价格

免费

  • 安装:免费

在组织开通时一次性收取;再次读取清单或下载不重复收费。

以上为公开标价。你的组织可能有协议价,以控制台显示的价格为准。

如何使用

  1. 为组织安装

    开通即安装:组织固定使用开通时的版本(当前为 1.0.0)。升级到新版本需要取消后重新开通。

  2. 创建凭证

    客户端使用组织凭证读取;绑定到数字人后,数字人使用绑定凭证按需加载。请求中携带:

    Authorization: Bearer $ZGI_MARKET_KEY

  3. 读取清单与安装包

    清单列出版本、文件和校验值;安装包是一个 zip 文件。

    读取清单
    curl "https://market-api.zgi.im/v1/market/skills/architecture-decision-records/manifest" \
      -H "Authorization: Bearer $ZGI_MARKET_KEY"
    下载安装包
    curl "https://market-api.zgi.im/v1/market/skills/architecture-decision-records/package" \
      -H "Authorization: Bearer $ZGI_MARKET_KEY" \
      -o architecture-decision-records.zip

    读取清单和下载安装包不计入用量。下载后请用响应头中的 SHA-256 校验文件。

技能说明

名称
architecture-decision-records
说明
Write and maintain Architecture Decision Records (ADRs) following best practices for technical decision documentation. Use when documenting significant technical decisions, reviewing past architectural choices, or establishing decision processes.
仅指令

技能包内没有脚本文件:这个技能是供模型阅读的文本。

SKILL.md 节选

# Architecture Decision Records

Comprehensive patterns for creating, maintaining, and managing Architecture Decision Records (ADRs) that capture the context and rationale behind significant technical decisions.

## When to Use This Skill

- Making significant architectural decisions
- Documenting technology choices
- Recording design trade-offs
- Onboarding new team members
- Reviewing historical decisions
- Establishing decision-making processes

## Core Concepts

### 1. What is an ADR?

An Architecture Decision Record captures:
- **Context**: Why we needed to make a decision
- **Decision**: What we decided
- **Consequences**: What happens as a result

### 2. When to Write an ADR

| Write ADR | Skip ADR |
|-----------|----------|
| New framework adoption | Minor version upgrades |
| Database technology choice | Bug fixes |
| API design patterns | Implementation details |
| Security architecture | Routine maintenance |
| Integration patterns | Configuration changes |

### 3. ADR Lifecycle

```
Proposed → Accepted → Deprecated → Superseded
              ↓
           Rejected
```

## Templates

### Template 1: Standard ADR (MADR Format)

```markdown
# ADR-0001: Use PostgreSQL as Primary Database

## Status

Accepted

## Context

We need to select a primary database for our new e-commerce platform. The system
will handle:
- ~10,000 concurrent users
- Complex product catalog with hierarchical categories
- Transaction processing for orders and payments
- Full-text search for products
- Geospatial queries for store locator

The team has experience with MySQL, PostgreSQL, and MongoDB. We need ACID
compliance for financial transactions.

## Decision Drivers

* **Must have ACID compliance** for payment processing
* **Must support complex queries** for reporting
* **Should support full-text search** to reduce infrastructure complexity
* **Should have good JSON support** for flexible product attributes
* **Team familiarity** reduces onboarding time

## Considered Options

### Option 1: PostgreSQL
- **Pros**: ACID compliant, excellent JSON support (JSONB), built-in full-text
  search, PostGIS for geospatial, team has experience
- **Cons**: Slightly more complex replication setup than MySQL

### Option 2: MySQL
- **Pros**: Very familiar to team, simple replication, large community
- **Cons**: Weaker JSON support, no built-in full-text search (need
  Elasticsearch), no geospatial without extensions

### Option 3: MongoDB
- **Pros**: Flexible schema, native JSON, horizontal scaling
- **Cons**: No ACID for multi-document transactions (at decision time),
  team has limited experience, requires schema design discipline

## Decision

We will use **PostgreSQL 15** as our primary database.

## Rationale

PostgreSQL provides the best balance of:
1. **ACID compliance** essential for e-commerce transactions
2. **Built-in capabilities** (full-text search, JSONB, PostGIS) reduce
   infrastructure complexity
3. **Team familiarity** with SQL databases reduces learning curve
4. **Mature ecosystem** with excellent tooling and community support

The slight complexity in replication is outweighed by the reduction in
additional services (no separate Elasticsearch needed).

## Consequences

### Positive
- Single database handles transactions, search, and geospatial queries
- Reduced operational complexity (fewer services to manage)
- Strong consistency guarantees for financial data
- Team can leverage existing SQL expertise

### Negative
- Need to learn PostgreSQL-specific features (JSONB, full-text search syntax)
- Vertical scaling limits may require read replicas sooner
- Some team members need PostgreSQL-specific training

### Risks
- Full-text search may not scale as well as dedicated search engines
- Mitigation: Design for potential Elasticsearch addition if needed

## Implementation Notes

- Use JSONB for flexible product attributes
- Implement connection pooling with PgBouncer
- Set up streaming replication for read replicas
- Use pg_trgm extension for fuzzy search

## Related Decisions

SKILL.md 不止这些内容,安装后可阅读全文。

技能包内容

共 1 个文件,合计 12.4 KiB

  • SKILL.md12.4 KiB

来源与审核

审核状态
尚未审核,内容来自上游来源
许可证
未说明

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