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AWS Step Functions

AWS LabsOfficialPublished by AWS Labs

  • Skill
  • Tool integration
  • Cloud and DevOps
  • Apache-2.0
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From the author

Build workflows with AWS Step Functions state machines using the JSONata query language. Covers Amazon States Language (ASL) structure, state types, variables, data transformation, error handling, AWS service integration, and migrating from the JSONPath to the JSONata query language.
— the description by AWS Labs

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill provides comprehensive documentation and patterns for defining workflows in AWS Step Functions. It focuses on the Amazon States Language (ASL) and the use of JSONata for data transformation and logic. The skill covers the eight core state types, error handling, service integrations, and best practices for migrating from legacy JSONPath to JSONata. It also includes architectural patterns such as the Saga pattern, polling loops, and semaphore locks to help developers design robust distributed applications.

What it does

  • Explains ASL structure and the eight available state types.
  • Provides syntax guidance for JSONata expressions in state machines.
  • Details error handling strategies using Retry and Catch blocks.
  • Outlines patterns for AWS service integrations like Lambda, DynamoDB, and SQS.
  • Offers architectural templates for common workflow challenges.
  • Provides instructions for migrating existing state machines from JSONPath to JSONata.

When to use it

  • When designing distributed applications or orchestrating microservices on AWS.
  • When building data or machine learning pipelines that require automated processes.
  • When implementing complex logic like retries, error handling, or branching in cloud workflows.
  • When transitioning state machine definitions to use JSONata for data transformation.

Advantages

  • Centralized reference for ASL syntax and JSONata expressions.
  • Includes ready-to-use architectural patterns for common distributed system problems.
  • Clear guidance on state input/output management and variable assignment.
  • Provides comparative analysis between Standard and Express workflow types.

Usage examples

“How do I implement a retry policy in a Task state?”
The agent provides the syntax for the Retry field, explaining how to define error codes, interval seconds, and max attempts within an ASL Task state.
“Show me how to use JSONata to transform output in a Pass state.”
The agent provides a code example demonstrating the use of the Output field with JSONata expressions to format data dynamically.
“What is the difference between Standard and Express workflows?”
The agent returns a comparison table detailing differences in execution duration, throughput, pricing, and history retention.
“How do I migrate my state machine from JSONPath to JSONata?”
The agent explains the replacement of JSONPath fields like InputPath and ResultPath with the new Arguments and Output fields, and provides migration steps.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/awslabs/aws-step-functions/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip aws-step-functions.zip -d .agents/skills

Documentation by AWS Labs

AWS Step Functions

Overview

AWS Step Functions uses Amazon States Language (ASL) to define state machines as JSON. With AWS Step Functions, you can create workflows, also called State machines, to build distributed applications, automate processes, orchestrate microservices, and create data and machine learning pipelines.

This skill provides comprehensive guidance for writing state machines in ASL, covering:

  • ASL structure and JSONata expression syntax

  • Details on the eight available workflow states

  • The $states reserved variable

  • Workflow variables with Assign

  • Error handling

  • AWS Service integration patterns

  • Example code for data transformation and architecture

  • Validation and testing of state machines

  • How to migrate from JSONPath to JSONata

When to Load Reference Files

Load the appropriate reference file based on what the user is working on:

  • ASL structure, state types, Task, Pass, Choice, Wait, Succeed, Fail, Parallel, Map → see references/asl-state-types.md

  • Error handling, troubleshooting, Retry, Catch, fallback, error codes, States.Timeout, States.ALL → see references/error-handling.md

  • Service integrations, Lambda invoke, DynamoDB, SNS, SQS, SDK integrations, Resource ARN, sync, async → see references/service-integrations.md

  • Migrating from JSONPath to JSONata, migration, JSONPath to JSONata, InputPath, Parameters, ResultSelector, ResultPath, OutputPath, intrinsic functions, Iterator, payload template → see references/migrating-from-jsonpath-to-jsonata.md

  • Validation, linting, testing, TestState, test state, mock, mocking, unit test, inspection level, DEBUG, TRACE, validate state, test in isolation → see references/validation-and-testing.md

  • Architecture patterns, examples, polling, saga, compensation, scatter-gather, semaphore, lock, human-in-the-loop, escalation, Express to Standard → see references/architecture-patterns.md

  • Data transformation, JSONata expressions, filtering, aggregation, string operations, $reduce, $lookup, $toMillis, $partition, $parse, $hash, $uuid → see references/transforming-data.md

  • State input/output, $states, Assign, Output, Arguments, variable scope, variable limits, evaluation order, passing data between states → see references/processing-state-inputs-and-outputs.md

  • Deployment, SAM, CloudFormation, IaC, DefinitionSubstitutions, X-Ray tracing, logging → see the aws-serverless-deployment skill or deploy-on-aws plugin

Quick Reference

Standard vs Express Workflows
StandardExpress
Max duration1 year5 minutes
Execution semanticsExactly-onceAt-least-once (async) / At-most-once (sync)
Execution historyRetained 90 days, queryable via APICloudWatch Logs only
Max throughput2,000 exec/sec100,000 exec/sec
Pricing modelPer state transitionPer execution count + duration
.sync / .waitForTaskTokenSupportedNot supported
Best forAuditable, non-idempotent operationsHigh-volume, idempotent event processing

Choose Standard for: payment processing, order fulfillment, compliance workflows, anything that must never execute twice.

Choose Express for: IoT data ingestion, streaming transformations, mobile backends, high-throughput short-lived processing.

Setting the State Machine Query Language

JSONata is the modern, preferred way to reference and transform data in ASL. It replaces the five JSONPath I/O fields (InputPath, Parameters, ResultSelector, ResultPath, OutputPath) with just two: Arguments (inputs) and Output.

Enable at the top level to apply to all states:

{ "QueryLanguage": "JSONata", "StartAt": "...", "States": {...} }

Or per-state to migrate from JSONPath incrementally:

{ "Type": "Task", "QueryLanguage": "JSONata", ... }

JSONPath is still supported and is the default if QueryLanguage is omitted — existing state machines do not need to be migrated.

Best Practices

  • Set "QueryLanguage": "JSONata" at the top level for new state machines unless the user wants to use JSONPath

  • Keep Output minimal — only include what the state immediately after the current state needs

  • Use Assign to store variables needed in later states instead of threading it through Output

  • Use $states.input to reference original state input

  • Remember: Assign and Output are evaluated in parallel — variable assignments in Assign are NOT available in Output of the same state

  • All JSONata expressions must produce a defined value — $data.nonExistentField throws States.QueryEvaluationError

  • Use $states.context.Execution.Input to access the original workflow input from any state

  • Save state machine definitions with .asl.json extension when working outside the console

  • Prefer the optimized Lambda integration (arn:aws:states:::lambda:invoke) over the SDK integration

Troubleshooting

Common Errors
  • States.QueryEvaluationError — JSONata expression failed. Check for type errors, undefined fields, or out-of-range values.

  • Mixing JSONPath fields with JSONata fields in the same state.

  • Using $ or $$ at the top level of a JSONata expression — use $states.input instead.

  • Forgetting {% %} delimiters around JSONata expressions — the string will be treated as a literal.

  • Assigning variables in Assign and expecting them in Output of the same state — new values only take effect in the next state.

  • Reference references/validation-and-testing.md and references/error-handling.md for detailed troubleshooting information.

Resources

Files

references/validation-and-testing.md

Validation and Testing

Local ASL Validation

Files saved with the .asl.json extension get automatic validation from the AWS Toolkit Extension. If the extension is not installed, suggest the user install it (https://open-vsx.org/extension/amazonwebservices/aws-toolkit-vscode). Use your diagnostics tool on any .asl.json file to catch structural errors instantly. The State Machine definition must be saved as .asl.json to work with local validation.


Testing with TestState API

The TestState API enables unit and integration testing of Step Functions without deployment. Key capabilities:

  • Mock service integrations — Test without invoking real services

  • Advanced states — Map, Parallel, Activity, .sync, .waitForTaskToken (require mocks)

  • Control execution — Simulate retries, Map iterations, error scenarios

  • Chain tests — Use output→input to test execution paths

  • Optional IAM — When mocking, roleArn optional

Before Accessing AWS

Before calling the TestState API, follow this sequence:

  1. Ask the user to grant you permission to use the TestState API in their AWS account.

  2. Check for AWS credentials: run aws sts get-caller-identity and verify the response.

  3. If credentials are available, confirm the IAM role ARN to use for execution (or omit if using mocks).

  4. If credentials are unavailable, help the user construct the CLI/SDK call to run manually.

  5. Never assume AWS access — always ask before making any AWS API call.

Required IAM Permissions

The calling identity needs states:TestState. If not using mocks, it also needs iam:PassRole for the execution role. For HTTP Task with revealSecrets, add states:RevealSecrets.

aws stepfunctions test-state \
  --definition '{"Type":"Task","Resource":"arn:aws:states:::lambda:invoke","Arguments":{...},"End":true}' \
  --input '{"data":"value"}' \
  --mock '{"result":"{\"StatusCode\":200,\"Payload\":{\"body\":\"success\"}}"}' \
  --inspection-level DEBUG

Inspection Levels

LevelReturnsUse Case
INFOoutput, status, nextStateQuick validation
DEBUG+ afterArguments, result, variablesData flow debugging
TRACE+ HTTP request/response (use --reveal-secrets for auth)HTTP Task debugging

Critical: Service-Specific Mock Structure

⚠️ Mocks MUST match AWS service API response schema exactly — field names (case-sensitive), types, required fields.

Finding Mock Structure
  1. Identify service from Resource ARN: arn:aws:states:::lambda:invoke → Lambda Invoke API

  2. Consult AWS SDK docs for that API's Response Syntax

  3. Structure mock to match

Common Service Mocks
ServiceAPIMock StructureExample
LambdaInvoke{StatusCode, Payload, FunctionError?}'{"result":"{\"StatusCode\":200,\"Payload\":{\"body\":\"ok\"}}\"}'
DynamoDBPutItem{Attributes?}'{"result":"{\"Attributes\":{\"id\":{\"S\":\"123\"}}}"}'
DynamoDBGetItem{Item?}'{"result":"{\"Item\":{\"id\":{\"S\":\"123\"}}}"}'
SNSPublish{MessageId}'{"result":"{\"MessageId\":\"abc-123\"}"}'
SQSSendMessage{MessageId, MD5OfMessageBody}'{"result":"{\"MessageId\":\"xyz\",\"MD5OfMessageBody\":\"...\"}"}'
EventBridgePutEvents{FailedEntryCount, Entries[]}'{"result":"{\"FailedEntryCount\":0,\"Entries\":[{\"EventId\":\"123\"}]}"}'
S3PutObject{ETag, VersionId?}'{"result":"{\"ETag\":\"\\\"abc123\\\"\"}"}'
Step FunctionsStartExecution{ExecutionArn, StartDate}'{"result":"{\"ExecutionArn\":\"arn:...\",\"StartDate\":\"...\"}"}'
Secrets ManagerGetSecretValue{ARN, Name, SecretString?}'{"result":"{\"Name\":\"MySecret\",\"SecretString\":\"...\"}"}'

For .sync patterns: Mock the polling API (e.g., startExecution.sync:2 → mock DescribeExecution, NOT StartExecution)

Mock Syntax

Success: --mock '{"result":"<service API response JSON>"}'
Error: --mock '{"errorOutput":{"error":"ErrorCode","cause":"description"}}'
Validation: --mock '{"fieldValidationMode":"STRICT|PRESENT|NONE","result":"..."}'

Validation modes:

  • STRICT (default): All required fields, correct types — use in CI/CD

  • PRESENT: Only validate fields present — flexible testing

  • NONE: No validation — quick prototyping only

Testing Map States

Tests Map's input/output processing, not iterations inside. Mock = entire Map output.

aws stepfunctions test-state \
  --definition '{
    "Type":"Map",
    "Items":"{% $states.input.items %}",
    "ItemSelector":{"value":"{% $states.context.Map.Item.Value %}"},
    "ItemProcessor":{"ProcessorConfig":{"Mode":"INLINE"},...},
    "End":true
  }' \
  --input '{"items":[1,2,3]}' \
  --mock '{"result":"[10,20,30]"}' \
  --inspection-level DEBUG

DEBUG returns: afterItemSelector, afterItemBatcher, toleratedFailureCount, maxConcurrency

Distributed Map: Provide data in input (as if read from S3)
Failure threshold testing: Use --state-configuration '{"mapIterationFailureCount":N}'
Testing state within Map: --state-name auto-populates $states.context.Map.Item.Index, $states.context.Map.Item.Value

Testing Parallel States

Mock = JSON array, one element per branch (in definition order):

--mock '{"result":"[{\"branch1\":\"result1\"},{\"branch2\":\"result2\"}]"}'

Testing Error Handling

Retry Logic
--state-configuration '{"retrierRetryCount":1}' \
--mock '{"errorOutput":{"error":"Lambda.ServiceException","cause":"..."}}' \
--inspection-level DEBUG

Response includes: status:"RETRIABLE", retryBackoffIntervalSeconds, retryIndex

Catch Handlers
--mock '{"errorOutput":{"error":"Lambda.TooManyRequestsException","cause":"..."}}' \
--inspection-level DEBUG

Response includes: status:"CAUGHT_ERROR", nextState, catchIndex, error in output

Error Propagation in Map/Parallel
--state-name "ChildState" \
--state-configuration '{"errorCausedByState":"ChildState"}' \
--mock '{"errorOutput":{"error":"States.TaskFailed","cause":"..."}}'

Testing .sync and .waitForTaskToken

Required: Must provide mock (validation exception otherwise)

.sync Patterns

Mock the polling API, not initial call:

# startExecution.sync:2 → mock DescribeExecution
--mock '{"result":"{\"Status\":\"SUCCEEDED\",\"Output\":\"{...}\"}"}'

Common patterns: startExecution.sync:2→DescribeExecution, batch:submitJob.sync→DescribeJobs, glue:startJobRun.sync→GetJobRun

.waitForTaskToken
--context '{"Task":{"Token":"test-token-123"}}' \
--mock '{"result":"{\"StatusCode\":200,\"Payload\":{\"status\":\"approved\"}}"}'

Activity States

Require mock:

--definition '{"Type":"Task","Resource":"arn:aws:states:...:activity:MyActivity",...}' \
--mock '{"result":"{\"result\":\"completed\"}"}'

Chaining Tests (Integration Testing)

RESULT_1=$(aws stepfunctions test-state --state-name "State1" ... | jq -r '.output')
NEXT_1=$(... | jq -r '.nextState')
RESULT_2=$(aws stepfunctions test-state --state-name "$NEXT_1" --input "$RESULT_1" ...)

Validates: data transformations, state transitions, end-to-end paths

Context Fields

Test states referencing execution context:

--context '{
  "Execution":{"Id":"arn:...","Name":"test-123","StartTime":"2024-01-01T10:00:00.000Z"},
  "State":{"Name":"ProcessData","EnteredTime":"2024-01-01T10:00:05.000Z"},
  "Task":{"Token":"test-token-abc123"}
}'

HTTP Tasks (TRACE)

--resource "arn:aws:states:::http:invoke" \
--inspection-level TRACE \
--reveal-secrets  # Requires states:RevealSecrets permission

Returns: inspectionData.request (method, URL, headers, body), inspectionData.response (status, headers, body)

Troubleshooting

ErrorFix
Invalid field typeCheck AWS SDK docs for correct types
Required field missingAdd field OR use fieldValidationMode:PRESENT
.sync validation failedMock polling API, not initial call

Debug workflow:

  1. Start fieldValidationMode:NONE for logic testing

  2. Switch to PRESENT for partial validation

  3. Use STRICT in CI/CD

Test Automation Pattern

#!/bin/bash
test_state() {
  local state_name=$1
  local input=$2
  local mock=$3
  
  aws stepfunctions test-state \
    --definition "$(cat statemachine.asl.json)" \
    --state-name "$state_name" \
    --input "$input" \
    --mock "$mock" \
    --inspection-level DEBUG
}

# Test chain
RESULT=$(test_state "State1" '{"id":"123"}' '{"result":"..."}' | jq -r '.output')
test_state "State2" "$RESULT" '{"result":"..."}'

Best Practices

  1. Always verify mock structure against AWS SDK docs for the specific service

  2. For .sync, mock polling API (DescribeX/GetX), not initial call

  3. Use STRICT validation in CI/CD to catch mismatches early

  4. Test all error paths with appropriate error codes

  5. Chain tests to validate multi-state execution paths

  6. Start with NONE→PRESENT→STRICT when developing mocks

  7. Use DEBUG for data flow, TRACE for HTTP debugging

  8. Mock external dependencies to isolate state machine logic

  9. Test Map failure thresholds with mapIterationFailureCount

  10. Never commit --reveal-secrets output to version control

Quick Reference

# Basic test
aws stepfunctions test-state --definition '{...}' --input '{...}' --mock '{...}'

# Test specific state in state machine
aws stepfunctions test-state --definition "$(cat sm.json)" --state-name "MyState" --input '{...}' --mock '{...}'

# Test retry (2nd attempt)
--state-configuration '{"retrierRetryCount":1}' --mock '{"errorOutput":{...}}'

# Test Map failure threshold
--state-configuration '{"mapIterationFailureCount":5}' --mock '{"errorOutput":{...}}'

# Test with context
--context '{"Execution":{"Id":"..."}, "Task":{"Token":"..."}}'

# HTTP Task with secrets
--inspection-level TRACE --reveal-secrets

# Mock validation modes
--mock '{"fieldValidationMode":"STRICT|PRESENT|NONE","result":"..."}'

Requirements and compatibility

Written for: Claude Code

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Claude Code frontmatter

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Attribution and licence

Published by
AWS Labs
Publisher
AWS Labs (Official)
Source
awslabs/agent-plugins · plugins/aws-serverless/skills/aws-step-functions · commit fbefb37
Licence
Apache License 2.0 (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • NOTICE (added by AutoGineer from NOTICE)
  • ATTRIBUTION.md (written by AutoGineer)
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