step-functions

You are an expert in AWS Step Functions, the serverless orchestration service for building workflows as state machines. You help developers coordinate Lambda functions, API calls, and AWS services using visual workflows with branching, parallel execution, error handling, retries, and human approval steps — building reliable, observable distributed systems without custom orchestration code.

26 stars

Best use case

step-functions is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

You are an expert in AWS Step Functions, the serverless orchestration service for building workflows as state machines. You help developers coordinate Lambda functions, API calls, and AWS services using visual workflows with branching, parallel execution, error handling, retries, and human approval steps — building reliable, observable distributed systems without custom orchestration code.

Teams using step-functions should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/step-functions/SKILL.md --create-dirs "https://raw.githubusercontent.com/TerminalSkills/skills/main/skills/step-functions/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/step-functions/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How step-functions Compares

Feature / Agentstep-functionsStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

You are an expert in AWS Step Functions, the serverless orchestration service for building workflows as state machines. You help developers coordinate Lambda functions, API calls, and AWS services using visual workflows with branching, parallel execution, error handling, retries, and human approval steps — building reliable, observable distributed systems without custom orchestration code.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# AWS Step Functions — Serverless Workflow Orchestration

You are an expert in AWS Step Functions, the serverless orchestration service for building workflows as state machines. You help developers coordinate Lambda functions, API calls, and AWS services using visual workflows with branching, parallel execution, error handling, retries, and human approval steps — building reliable, observable distributed systems without custom orchestration code.

## Core Capabilities

### State Machine Definition

```json
{
  "Comment": "Order processing workflow",
  "StartAt": "ValidateOrder",
  "States": {
    "ValidateOrder": {
      "Type": "Task",
      "Resource": "arn:aws:lambda:us-east-1:123:function:validate-order",
      "Next": "CheckInventory",
      "Catch": [{
        "ErrorEquals": ["ValidationError"],
        "Next": "RejectOrder"
      }],
      "Retry": [{
        "ErrorEquals": ["States.TaskFailed"],
        "IntervalSeconds": 2,
        "MaxAttempts": 3,
        "BackoffRate": 2.0
      }]
    },
    "CheckInventory": {
      "Type": "Task",
      "Resource": "arn:aws:lambda:us-east-1:123:function:check-inventory",
      "Next": "InventoryDecision"
    },
    "InventoryDecision": {
      "Type": "Choice",
      "Choices": [
        {
          "Variable": "$.inStock",
          "BooleanEquals": true,
          "Next": "ProcessPayment"
        },
        {
          "Variable": "$.backorderAvailable",
          "BooleanEquals": true,
          "Next": "CreateBackorder"
        }
      ],
      "Default": "NotifyOutOfStock"
    },
    "ProcessPayment": {
      "Type": "Task",
      "Resource": "arn:aws:lambda:us-east-1:123:function:process-payment",
      "Next": "ParallelFulfillment"
    },
    "ParallelFulfillment": {
      "Type": "Parallel",
      "Branches": [
        {
          "StartAt": "ShipOrder",
          "States": {
            "ShipOrder": {
              "Type": "Task",
              "Resource": "arn:aws:lambda:us-east-1:123:function:ship-order",
              "End": true
            }
          }
        },
        {
          "StartAt": "SendConfirmation",
          "States": {
            "SendConfirmation": {
              "Type": "Task",
              "Resource": "arn:aws:lambda:us-east-1:123:function:send-email",
              "End": true
            }
          }
        },
        {
          "StartAt": "UpdateAnalytics",
          "States": {
            "UpdateAnalytics": {
              "Type": "Task",
              "Resource": "arn:aws:lambda:us-east-1:123:function:update-analytics",
              "End": true
            }
          }
        }
      ],
      "Next": "OrderComplete"
    },
    "OrderComplete": {
      "Type": "Succeed"
    },
    "RejectOrder": {
      "Type": "Task",
      "Resource": "arn:aws:lambda:us-east-1:123:function:reject-order",
      "Next": "OrderFailed"
    },
    "NotifyOutOfStock": {
      "Type": "Task",
      "Resource": "arn:aws:lambda:us-east-1:123:function:notify-out-of-stock",
      "Next": "OrderFailed"
    },
    "OrderFailed": {
      "Type": "Fail",
      "Error": "OrderProcessingFailed",
      "Cause": "Order could not be fulfilled"
    }
  }
}
```

### Direct SDK Integrations

```json
{
  "WriteToDynamo": {
    "Type": "Task",
    "Resource": "arn:aws:states:::dynamodb:putItem",
    "Parameters": {
      "TableName": "orders",
      "Item": {
        "id": { "S.$": "$.orderId" },
        "status": { "S": "processing" },
        "total": { "N.$": "States.Format('{}', $.total)" }
      }
    },
    "Next": "SendToSQS"
  },
  "SendToSQS": {
    "Type": "Task",
    "Resource": "arn:aws:states:::sqs:sendMessage",
    "Parameters": {
      "QueueUrl": "https://sqs.us-east-1.amazonaws.com/123/notifications",
      "MessageBody.$": "States.JsonToString($.notification)"
    },
    "Next": "WaitForApproval"
  },
  "WaitForApproval": {
    "Type": "Task",
    "Resource": "arn:aws:states:::sqs:sendMessage.waitForTaskToken",
    "Parameters": {
      "QueueUrl": "https://sqs.us-east-1.amazonaws.com/123/approvals",
      "MessageBody": {
        "taskToken.$": "$$.Task.Token",
        "orderId.$": "$.orderId"
      }
    },
    "TimeoutSeconds": 86400,
    "Next": "FinalStep"
  }
}
```

## Installation

```bash
# SAM / CDK / CloudFormation for deployment
# AWS SDK for starting executions
npm install @aws-sdk/client-sfn

# Start execution
import { SFNClient, StartExecutionCommand } from "@aws-sdk/client-sfn";
const sfn = new SFNClient({});
await sfn.send(new StartExecutionCommand({
  stateMachineArn: "arn:aws:states:...",
  input: JSON.stringify({ orderId: "123", items: [...] }),
}));
```

## Best Practices

1. **Express for high-volume** — Use Express Workflows for event processing (100K+ executions/sec, cheaper); Standard for long-running
2. **Catch + Retry** — Add `Catch` and `Retry` on every Task state; handle transient failures gracefully
3. **Direct integrations** — Call DynamoDB, SQS, SNS, ECS directly without Lambda; reduces latency and cost
4. **Parallel for fan-out** — Use Parallel state for concurrent operations; Map state for processing arrays
5. **Wait for callback** — Use `.waitForTaskToken` for human approval, external webhook, or async processing
6. **Input/output processing** — Use `InputPath`, `OutputPath`, `ResultPath` to control data flow between states
7. **Visual debugging** — Step Functions console shows execution flow visually; each state shows input/output/errors
8. **Idempotency** — Pass idempotency tokens through the workflow; retries may re-execute steps

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