agentsclimarketplace

Step functions

Skill ComeOnOliver/skillshub/skills/TerminalSkills/skills/step-functions

🧠 The right skill, one API call. AI agent skills registry with token-efficient skill resolution. 5,000+ skills from 500+ top repos.From the repository description

Install
npx -y skills add ComeOnOliver/skillshub --skill step-functions

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

5.4 KB, ~1.4k tokens by cl100k_base, as published. Nobody here has run it

AWS Step Functions β€” 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 β€” building reliable, observable distributed systems without custom orchestration code.

Core Capabilities

State Machine Definition

{
  "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

{
  "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

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

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.