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Agent Skill · 研究检索

saga-patterns(传奇模式)

saga-patterns 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。

saga-patterns 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证为 MIT,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 72,323。

总安装 188周安装 8GitHub Stars 61下载 66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
MIT

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:saga-patterns(传奇模式)
来源仓库:https://github.com/melodic-software/claude-code-plugins
仓库路径:skills/saga-patterns
安装命令:
npx skills add https://github.com/melodic-software/claude-code-plugins --skill saga-patterns
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/melodic-software/claude-code-plugins --skill saga-patterns

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。

用于查找、检索和筛选相关信息,适合快速定位技术方案。可根据关键词、任务场景或来源线索聚合候选结果。建议结合原始 README 和安装命令进一步核验具体用法。安装前需确认权限范围、维护状态及是否触发联网操作。saga-patterns 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/saga-patterns

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/melodic-software/claude-code-plugins --skill s…;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

saga-patterns 怎么安装?

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

saga-patterns 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。

saga-patterns 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。

saga-patterns 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

saga-patterns 用的人多吗?

公开数据是累计安装 188 次,近一周安装 8 次,下载 66 次,GitHub 61 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。

saga-patterns 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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
saga-patterns

传奇模式 · 本页

18861调用外部服务MIT有提醒

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

Saga Patterns Skill

When to Use This Skill

Use this skill when:

  • Saga Patterns tasks - Working on distributed transaction patterns using orchestration and choreography
  • Planning or design - Need guidance on Saga Patterns approaches
  • Best practices - Want to follow established patterns and standards

Overview

Design distributed transaction patterns using orchestration and choreography for microservices.

MANDATORY: Documentation-First Approach

Before designing sagas:

  1. Invoke docs-management skill for saga patterns
  2. Verify patterns via MCP servers (perplexity, context7)
  3. Base guidance on established microservices patterns

Saga Fundamentals

Why Sagas?

PROBLEM:
Distributed transactions across services are complex.
Traditional 2PC (Two-Phase Commit) doesn't scale.

SOLUTION:
Saga = Sequence of local transactions
Each step has a compensating action
Eventual consistency instead of ACID

┌─────────┐    ┌─────────┐    ┌─────────┐
│ Step 1  │───►│ Step 2  │───►│ Step 3  │
│ Tx + Cx │    │ Tx + Cx │    │ Tx + Cx │
└─────────┘    └─────────┘    └─────────┘
     │              │              │
     ▼              ▼              ▼
   Local         Local          Local
 Transaction  Transaction    Transaction

Tx = Forward Transaction
Cx = Compensating Transaction

Saga Coordination Styles

Choreography (Event-Driven)

Choreography Pattern:

Services communicate through events.
No central coordinator.
Each service knows what to do next.

┌─────────────┐    ┌─────────────┐    ┌─────────────┐
│   Order     │    │  Payment    │    │  Inventory  │
│   Service   │    │  Service    │    │  Service    │
└──────┬──────┘    └──────┬──────┘    └──────┬──────┘
       │                  │                  │
       │ OrderCreated     │                  │
       │─────────────────►│                  │
       │                  │ PaymentProcessed │
       │                  │─────────────────►│
       │                  │                  │ InventoryReserved
       │◄─────────────────┼──────────────────│
       │ OrderConfirmed   │                  │

Characteristics:
✓ Loose coupling
✓ Simple services
✗ Hard to track
✗ Cyclic dependencies risk

Orchestration (Coordinator-Driven)

Orchestration Pattern:

Central orchestrator coordinates the saga.
Services expose commands.
Orchestrator manages state.

                ┌─────────────────┐
                │   Orchestrator  │
                │  (Saga Manager) │
                └────────┬────────┘
                         │
        ┌────────────────┼────────────────┐
        │                │                │
        ▼                ▼                ▼
┌─────────────┐  ┌─────────────┐  ┌─────────────┐
│   Order     │  │  Payment    │  │  Inventory  │
│   Service   │  │  Service    │  │  Service    │
└─────────────┘  └─────────────┘  └─────────────┘

Characteristics:
✓ Clear flow visibility
✓ Easier debugging
✗ Single point of failure
✗ Coupling to orchestrator

Choreography Implementation

Event-Driven Flow

// Order Service - Starts Saga
public class OrderService
{
    private readonly IEventPublisher _events;

    public async Task CreateOrderAsync(CreateOrderCommand cmd)
    {
        var order = new Order(cmd.CustomerId, cmd.Items);
        await _repository.SaveAsync(order);

        // Publish event to start saga
        await _events.PublishAsync(new OrderCreated
        {
            OrderId = order.Id,
            CustomerId = cmd.CustomerId,
            TotalAmount = order.TotalAmount
        });
    }

    // Handle compensation
    public async Task HandleAsync(PaymentFailed @event)
    {
        var order = await _repository.GetAsync(@event.OrderId);
        order.Cancel("Payment failed");
        await _repository.SaveAsync(order);

        await _events.PublishAsync(new OrderCancelled
        {
            OrderId = @event.OrderId,
            Reason = "Payment failed"
        });
    }
}

// Payment Service - Reacts to OrderCreated
public class PaymentService
{
    public async Task HandleAsync(OrderCreated @event)
    {
        try
        {
            var payment = await ProcessPaymentAsync(@event.OrderId, @event.TotalAmount);

            await _events.PublishAsync(new PaymentProcessed
            {
                OrderId = @event.OrderId,
                PaymentId = payment.Id
            });
        }
        catch (PaymentException ex)
        {
            await _events.PublishAsync(new PaymentFailed
            {
                OrderId = @event.OrderId,
                Reason = ex.Message
            });
        }
    }
}

// Inventory Service - Reacts to PaymentProcessed
public class InventoryService
{
    public async Task HandleAsync(PaymentProcessed @event)
    {
        try
        {
            await ReserveInventoryAsync(@event.OrderId);

            await _events.PublishAsync(new InventoryReserved
            {
                OrderId = @event.OrderId
            });
        }
        catch (InsufficientInventoryException)
        {
            // Trigger compensation
            await _events.PublishAsync(new InventoryReservationFailed
            {
                OrderId = @event.OrderId
            });
        }
    }

    // Compensating action
    public async Task HandleAsync(OrderCancelled @event)
    {
        await ReleaseInventoryAsync(@event.OrderId);
    }
}

Orchestration Implementation

Saga Orchestrator

// Saga State Machine
public class OrderSaga : Saga<OrderSagaData>,
    IAmStartedBy<OrderCreated>,
    IHandle<PaymentProcessed>,
    IHandle<PaymentFailed>,
    IHandle<InventoryReserved>,
    IHandle<InventoryReservationFailed>
{
    protected override void ConfigureHowToFindSaga(SagaPropertyMapper<OrderSagaData> mapper)
    {
        mapper.MapSaga(s => s.OrderId)
            .ToMessage<OrderCreated>(m => m.OrderId)
            .ToMessage<PaymentProcessed>(m => m.OrderId)
            .ToMessage<PaymentFailed>(m => m.OrderId)
            .ToMessage<InventoryReserved>(m => m.OrderId)
            .ToMessage<InventoryReservationFailed>(m => m.OrderId);
    }

    public async Task Handle(OrderCreated message, IMessageHandlerContext context)
    {
        Data.OrderId = message.OrderId;
        Data.CustomerId = message.CustomerId;
        Data.TotalAmount = message.TotalAmount;
        Data.Status = SagaStatus.Started;

        // Request payment
        await context.Send(new ProcessPaymentCommand
        {
            OrderId = message.OrderId,
            Amount = message.TotalAmount
        });
    }

    public async Task Handle(PaymentProcessed message, IMessageHandlerContext context)
    {
        Data.PaymentId = message.PaymentId;
        Data.Status = SagaStatus.PaymentCompleted;

        // Request inventory reservation
        await context.Send(new ReserveInventoryCommand
        {
            OrderId = message.OrderId
        });
    }

    public async Task Handle(PaymentFailed message, IMessageHandlerContext context)
    {
        Data.Status = SagaStatus.Failed;

        // Compensate: Cancel order
        await context.Send(new CancelOrderCommand
        {
            OrderId = message.OrderId,
            Reason = "Payment failed"
        });

        MarkAsComplete();
    }

    public async Task Handle(InventoryReserved message, IMessageHandlerContext context)
    {
        Data.Status = SagaStatus.Completed;

        // Complete the saga
        await context.Publish(new OrderCompleted
        {
            OrderId = Data.OrderId
        });

        MarkAsComplete();
    }

    public async Task Handle(InventoryReservationFailed message, IMessageHandlerContext context)
    {
        Data.Status = SagaStatus.Failed;

        // Compensate: Refund payment
        await context.Send(new RefundPaymentCommand
        {
            OrderId = Data.OrderId,
            PaymentId = Data.PaymentId
        });

        // Compensate: Cancel order
        await context.Send(new CancelOrderCommand
        {
            OrderId = Data.OrderId,
            Reason = "Inventory unavailable"
        });

        MarkAsComplete();
    }
}

public class OrderSagaData : ContainSagaData
{
    public Guid OrderId { get; set; }
    public Guid CustomerId { get; set; }
    public decimal TotalAmount { get; set; }
    public Guid? PaymentId { get; set; }
    public SagaStatus Status { get; set; }
}

Compensating Transactions

Compensation Design

Compensation Principles:

1. SEMANTIC UNDO
   Not always exact reverse
   Example: Cancel order vs. un-create order

2. IDEMPOTENT
   Can be called multiple times safely
   Same result regardless of retries

3. NEVER FAIL
   Compensation must succeed eventually
   Use retries with backoff

4. ORDERED
   Compensate in reverse order
   Last step first, first step last

Compensation Flow:
Step 1 ─► Step 2 ─► Step 3 ─► FAILURE
   │         │         │         │
   │         │         │         ▼
   │         │         └───► Compensate 3
   │         │                   │
   │         └───────────────► Compensate 2
   │                             │
   └─────────────────────────► Compensate 1

Compensation Examples

// Forward Transaction and Compensation Pairs
public class ReservationService
{
    // Forward: Reserve inventory
    public async Task<ReservationId> ReserveAsync(OrderId orderId, List<Item> items)
    {
        var reservation = new Reservation(orderId, items);
        foreach (var item in items)
        {
            await _inventory.DecrementAsync(item.ProductId, item.Quantity);
        }
        await _repository.SaveAsync(reservation);
        return reservation.Id;
    }

    // Compensating: Release reservation
    public async Task ReleaseAsync(ReservationId reservationId)
    {
        var reservation = await _repository.GetAsync(reservationId);
        if (reservation.Status == ReservationStatus.Released)
            return; // Idempotent

        foreach (var item in reservation.Items)
        {
            await _inventory.IncrementAsync(item.ProductId, item.Quantity);
        }

        reservation.Release();
        await _repository.SaveAsync(reservation);
    }
}

Error Handling

Retry Strategies

Retry Patterns:

1. IMMEDIATE RETRY
   For transient failures
   Network glitches, timeouts

2. EXPONENTIAL BACKOFF
   Increasing delays
   1s → 2s → 4s → 8s

3. CIRCUIT BREAKER
   Stop retrying after threshold
   Allow recovery time

4. DEAD LETTER QUEUE
   Capture failed messages
   Manual intervention

Timeout Handling

// Saga with Timeout
public class OrderSaga : Saga<OrderSagaData>
{
    public async Task Handle(OrderCreated message, IMessageHandlerContext context)
    {
        // Set timeout for payment
        await RequestTimeout<PaymentTimeout>(
            context,
            TimeSpan.FromMinutes(30));

        await context.Send(new ProcessPaymentCommand { ... });
    }

    public async Task Timeout(PaymentTimeout timeout, IMessageHandlerContext context)
    {
        if (Data.Status == SagaStatus.AwaitingPayment)
        {
            // Payment didn't complete in time
            await context.Send(new CancelOrderCommand
            {
                OrderId = Data.OrderId,
                Reason = "Payment timeout"
            });

            Data.Status = SagaStatus.TimedOut;
            MarkAsComplete();
        }
    }
}

Saga Design Template

# Saga Design: [Process Name]

## Overview
[What this saga accomplishes]

## Trigger
[What event starts this saga]

## Steps

| Step | Service | Action | Compensating Action |
|------|---------|--------|---------------------|
| 1 | [Service] | [Forward action] | [Compensation] |
| 2 | [Service] | [Forward action] | [Compensation] |
| 3 | [Service] | [Forward action] | [Compensation] |

## Flow Diagram

[ASCII saga flow diagram]


## Failure Scenarios

| Failure Point | What Failed | Compensation Chain |
| --- | --- | --- |
| After Step 1 | [Description] | Compensate 1 |
| After Step 2 | [Description] | Compensate 2 → 1 |

## Timeout Handling

- Step 1 timeout: [What happens]
- Step 2 timeout: [What happens]

## Idempotency

- [How duplicates are handled]

## Monitoring

- [What to monitor]
- [Alerting thresholds]

## Choosing Choreography vs Orchestration

| Factor | Choreography | Orchestration |
| --- | --- | --- |
| **Coupling** | Loose | Tighter |
| **Visibility** | Distributed | Centralized |
| **Complexity** | In events | In orchestrator |
| **Debugging** | Harder | Easier |
| **Team structure** | Independent teams | Central team |
| **Failure handling** | Distributed | Centralized |
| **Best for** | Simple flows | Complex flows |

## Workflow

When designing sagas:

1. **Identify Boundaries**: Which services participate?
2. **Define Steps**: Forward actions in order
3. **Design Compensations**: Reverse actions for each step
4. **Choose Style**: Choreography or orchestration?
5. **Handle Failures**: Timeouts, retries, dead letters
6. **Ensure Idempotency**: All actions repeatable safely
7. **Plan Monitoring**: Track saga state and failures
8. **Test Failure Paths**: Verify compensations work

## User-Facing Interface

When invoked directly by the user, this skill designs a saga pattern for distributed transactions.

### Execution Workflow

1. **Parse Arguments** - Extract transaction description, style preference (orchestration/choreography/recommend), and participating services list. If no transaction provided, ask the user.
2. **Research Context** - Use MCP servers to understand saga patterns for similar transactions.
3. **Analyze Transaction** - Identify participating services, define forward transaction steps, design compensating actions, plan error handling.
4. **Recommend Style** - If style not specified, evaluate choreography vs orchestration based on flow complexity, team structure, debugging needs, and coupling tolerance.
5. **Design Saga** - Create step definitions, compensations, state machine (orchestration) or event flow (choreography), and failure scenarios.
6. **Generate Output** - Produce saga design document with flow diagrams, step detail table, C# implementation examples, error handling strategy, and monitoring recommendations.

## References

For detailed guidance:

---

**Last Updated:** 2025-12-26

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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。来源安全扫描存在提醒或未通过项,安装前请自行复核。

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