AWS Step Functions
AWS LabsOfficialPublished by AWS Labs
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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
Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/awslabs/aws-step-functions/downloadUnzip 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
$statesreserved variableWorkflow variables with
AssignError 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
| Standard | Express | |
|---|---|---|
| Max duration | 1 year | 5 minutes |
| Execution semantics | Exactly-once | At-least-once (async) / At-most-once (sync) |
| Execution history | Retained 90 days, queryable via API | CloudWatch Logs only |
| Max throughput | 2,000 exec/sec | 100,000 exec/sec |
| Pricing model | Per state transition | Per execution count + duration |
.sync / .waitForTaskToken | Supported | Not supported |
| Best for | Auditable, non-idempotent operations | High-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 JSONPathKeep
Outputminimal — only include what the state immediately after the current state needsUse
Assignto store variables needed in later states instead of threading it through OutputUse
$states.inputto reference original state inputRemember:
AssignandOutputare evaluated in parallel — variable assignments inAssignare NOT available inOutputof the same stateAll JSONata expressions must produce a defined value —
$data.nonExistentFieldthrowsStates.QueryEvaluationErrorUse
$states.context.Execution.Inputto access the original workflow input from any stateSave state machine definitions with
.asl.jsonextension when working outside the consolePrefer 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.inputinstead.Forgetting
{% %}delimiters around JSONata expressions — the string will be treated as a literal.Assigning variables in
Assignand expecting them inOutputof 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
- ATTRIBUTION.mdAdded by AutoGineer922 B
- LICENSELicence file added by AutoGineer9.9 KiB
- NOTICELicence file added by AutoGineer89 B
- SKILL.md7.4 KiB
- examples/compensation-saga-pattern.asl.json3.5 KiB
- examples/express-standard-handoff.asl.json2.2 KiB
- examples/human-in-the-loop-with-timeout-escalation.asl.json3.4 KiB
- examples/nested-map-parallel-structures.asl.json2.0 KiB
- examples/polling-loop-wait-check-choice.asl.json2.0 KiB
- examples/scatter-gather-with-partial-results.asl.json2.2 KiB
- examples/semaphore-concurrency-lock.asl.json3.3 KiB
- references/architecture-patterns.md3.8 KiB
- references/asl-state-types.md12.4 KiB
- references/error-handling.md6.9 KiB
- references/migrating-from-jsonpath-to-jsonata.md13.3 KiB
- references/processing-state-inputs-and-outputs.md11.2 KiB
- references/service-integrations.md6.4 KiB
- references/transforming-data.md6.2 KiB
- references/validation-and-testing.md11.0 KiB
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,
roleArnoptional
Before Accessing AWS
Before calling the TestState API, follow this sequence:
Ask the user to grant you permission to use the TestState API in their AWS account.
Check for AWS credentials: run
aws sts get-caller-identityand verify the response.If credentials are available, confirm the IAM role ARN to use for execution (or omit if using mocks).
If credentials are unavailable, help the user construct the CLI/SDK call to run manually.
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 DEBUGInspection Levels
| Level | Returns | Use Case |
|---|---|---|
| INFO | output, status, nextState | Quick validation |
| DEBUG | + afterArguments, result, variables | Data 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
Identify service from
ResourceARN:arn:aws:states:::lambda:invoke→ LambdaInvokeAPIConsult AWS SDK docs for that API's Response Syntax
Structure mock to match
Common Service Mocks
| Service | API | Mock Structure | Example |
|---|---|---|---|
| Lambda | Invoke | {StatusCode, Payload, FunctionError?} | '{"result":"{\"StatusCode\":200,\"Payload\":{\"body\":\"ok\"}}\"}' |
| DynamoDB | PutItem | {Attributes?} | '{"result":"{\"Attributes\":{\"id\":{\"S\":\"123\"}}}"}' |
| DynamoDB | GetItem | {Item?} | '{"result":"{\"Item\":{\"id\":{\"S\":\"123\"}}}"}' |
| SNS | Publish | {MessageId} | '{"result":"{\"MessageId\":\"abc-123\"}"}' |
| SQS | SendMessage | {MessageId, MD5OfMessageBody} | '{"result":"{\"MessageId\":\"xyz\",\"MD5OfMessageBody\":\"...\"}"}' |
| EventBridge | PutEvents | {FailedEntryCount, Entries[]} | '{"result":"{\"FailedEntryCount\":0,\"Entries\":[{\"EventId\":\"123\"}]}"}' |
| S3 | PutObject | {ETag, VersionId?} | '{"result":"{\"ETag\":\"\\\"abc123\\\"\"}"}' |
| Step Functions | StartExecution | {ExecutionArn, StartDate} | '{"result":"{\"ExecutionArn\":\"arn:...\",\"StartDate\":\"...\"}"}' |
| Secrets Manager | GetSecretValue | {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/CDPRESENT: Only validate fields present — flexible testingNONE: 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 DEBUGDEBUG 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, $states.context.Map.Item.Value
Testing Parallel States
Mock = JSON array, one element per branch (in definition order):
--mock '{"result":"[{\"branch1\":\"result1\"},{\"branch2\":\"result2\"}]"}'Testing Error Handling
Retry Logic
--state-configuration '{"retrierRetryCount":1}' \
--mock '{"errorOutput":{"error":"Lambda.ServiceException","cause":"..."}}' \
--inspection-level DEBUGResponse includes: status:"RETRIABLE", retryBackoffIntervalSeconds, retryIndex
Catch Handlers
--mock '{"errorOutput":{"error":"Lambda.TooManyRequestsException","cause":"..."}}' \
--inspection-level DEBUGResponse includes: status:"CAUGHT_ERROR", nextState, catchIndex, error in output
Error Propagation in Map/Parallel
--state-name "ChildState" \
--state-configuration '{"errorCausedByState":"ChildState"}' \
--mock '{"errorOutput":{"error":"States.TaskFailed","cause":"..."}}'Testing .sync and .waitForTaskToken
Required: Must provide mock (validation exception otherwise)
.sync Patterns
Mock the polling API, not initial call:
# startExecution.sync:2 → mock DescribeExecution
--mock '{"result":"{\"Status\":\"SUCCEEDED\",\"Output\":\"{...}\"}"}'Common patterns: startExecution.sync:2→DescribeExecution, batch:submitJob.sync→DescribeJobs, glue:startJobRun.sync→GetJobRun
.waitForTaskToken
--context '{"Task":{"Token":"test-token-123"}}' \
--mock '{"result":"{\"StatusCode\":200,\"Payload\":{\"status\":\"approved\"}}"}'Activity States
Require mock:
--definition '{"Type":"Task","Resource":"arn:aws:states:...:activity:MyActivity",...}' \
--mock '{"result":"{\"result\":\"completed\"}"}'Chaining Tests (Integration Testing)
RESULT_1=$(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 permissionReturns: inspectionData.request (method, URL, headers, body), inspectionData.response (status, headers, body)
Troubleshooting
| Error | Fix |
|---|---|
| Invalid field type | Check AWS SDK docs for correct types |
| Required field missing | Add field OR use fieldValidationMode:PRESENT |
| .sync validation failed | Mock polling API, not initial call |
Debug workflow:
Start
fieldValidationMode:NONEfor logic testingSwitch to
PRESENTfor partial validationUse
STRICTin 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" "$RESULT" '{"result":"..."}'Best Practices
Always verify mock structure against AWS SDK docs for the specific service
For .sync, mock polling API (DescribeX/GetX), not initial call
Use STRICT validation in CI/CD to catch mismatches early
Test all error paths with appropriate error codes
Chain tests to validate multi-state execution paths
Start with NONE→PRESENT→STRICT when developing mocks
Use DEBUG for data flow, TRACE for HTTP debugging
Mock external dependencies to isolate state machine logic
Test Map failure thresholds with
mapIterationFailureCountNever commit
--reveal-secretsoutput to version control
Quick Reference
# Basic test
aws stepfunctions test-state --definition '{...}' --input '{...}' --mock '{...}'
# Test specific state in state machine
aws stepfunctions test-state --definition "$(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
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- 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)
- Synced
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