aws-lambda-durable-functions — Claude Code skill: setup & overview
Teaches coding agents to build resilient AWS Lambda functions that run up to 1 year with state persistence. Useful for long-running workflows and multi-step AI agents.
npx skills add aws/agent-toolkit-for-aws --skill aws-lambda-durable-functions -a claude-codeWhat aws-lambda-durable-functions does
The skill guides the assistant through AWS Lambda durable execution and its replay model. Any non-deterministic operations like Math.random(), UUID generation, API calls, or database queries must live inside context.step(). If they run outside, replays will corrupt execution state. In addition, step operations cannot be nested inside one another; grouping requires context.runInChildContext().
A critical constraint: durable execution cannot be retrofitted into an existing function. You must create a new Lambda function with durable execution enabled and migrate the code there. Calling the function also demands a qualified ARN with an alias, version, or $LATEST suffix, because unqualified names fail immediately.
The skill covers TypeScript via @aws/durable-execution-sdk-js and Python via aws_durable_execution_sdk_python, saga rollback patterns, external callbacks, and local execution tests via DurableFunctionTestRunner. The Lambda execution role requires the AWSLambdaBasicDurableExecutionRolePolicy policy.
What it helps with
- create durable AWS Lambda workflows that execute for up to 1 year
- write TypeScript or Python handlers compliant with the replay model
- implement delays with
context.wait()and human-in-the-loop callbacks - isolate non-deterministic code and random IDs inside atomic steps
- test durable executions locally using SDK test runners
Example prompts for the agent
- Help me build a multi-step TypeScript Lambda handler using context.step
- Implement saga error handling with compensating steps for my durable Lambda
- Review this durable function code for replay model violations and nested steps
How to install aws-lambda-durable-functions
1Skills CLI (Vercel)
npx skills add aws/agent-toolkit-for-aws --skill aws-lambda-durable-functions -a claude-code2Manually: put the files in place
~/.claude/skills/aws-lambda-durable-functions/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/aws-lambda-durable-functions/
1Skills CLI (Vercel)
npx skills add aws/agent-toolkit-for-aws --skill aws-lambda-durable-functions -a codex2Manually: put the files in place
.agents/skills/aws-lambda-durable-functions/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add aws/agent-toolkit-for-aws --skill aws-lambda-durable-functions -a cursor2Manually: put the files in place
.cursor/skills/aws-lambda-durable-functions/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install aws/agent-toolkit-for-aws aws-lambda-durable-functions2Manually: put the files in place
.github/skills/aws-lambda-durable-functions/SKILL.md1Skills CLI (Vercel)
npx skills add aws/agent-toolkit-for-aws --skill aws-lambda-durable-functions -a gemini-cli2Platform CLI
gemini skills install https://github.com/aws/agent-toolkit-for-aws --path skills/specialized-skills/serverless-skills/aws-lambda-durable-functionsManually: put the files in place
.devin/skills/aws-lambda-durable-functions/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add aws/agent-toolkit-for-aws --skill aws-lambda-durable-functions -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about aws-lambda-durable-functions
How to install aws-lambda-durable-functions in Claude Code?
Run npx skills add aws/agent-toolkit-for-aws --skill aws-lambda-durable-functions -a claude-code in your terminal. This writes the skill to ~/.claude/skills/aws-lambda-durable-functions/SKILL.md.
What does aws-lambda-durable-functions do?
It provides rules and patterns for writing stateful AWS Lambda functions that persist execution state and survive interruptions. It guides step design, wait operations, saga patterns, and replay testing.
Can I retrofit durable execution into an existing Lambda function?
No, durable execution must be enabled at function creation time. You need to create a new Lambda function with durable execution enabled and migrate your handler logic.
Source text
SKILL.md · Apache-2.0
---
name: aws-lambda-durable-functions
description: Builds resilient, long-running, multi-step applications with AWS Lambda durable functions with automatic state persistence, retry logic, and orchestration for long-running executions. Covers the critical replay model, step operations, wait/callback patterns, error handling with saga pattern, testing with LocalDurableTestRunner. Triggers on phrases like lambda durable functions, durable execution, workflow orchestration, state machines, retry/checkpoint patterns, long-running stateful Lambda functions, saga pattern, human-in-the-loop callbacks, reliable serverless applications, context.step, context.wait, context.invoke, context.runInChildContext, withDurableExecution, DurableContext, UnrecoverableInvocationError, durable-execution-sdk, qualified ARN invocation, and durable handler replay.
version: 1
---
# AWS Lambda durable functions
Build resilient multi-step applications and AI workflows that can execute for up to 1 year while maintaining reliable progress despite interruptions.
**Works best with** the [AWS MCP server](https://docs.aws.amazon.com/aws-mcp/) but is not required. All AWS interactions in this skill use standard AWS CLI commands that work in any environment with configured AWS credentials.
## Critical Rules
Read these before writing any code. Each one is a constraint that will silently break a function if violated.
1. **Durable execution must be enabled at function creation time — it cannot be retrofitted.** A new Lambda function must be created with durable execution turned on. Migrate the logic into the new function; do not attempt to install the SDK and wrap the handler of the existing function and expect it to work.
2. **Durable functions must be invoked with a qualified ARN** — a specific version, an alias, or the literal `$LATEST` suffix. An unqualified function name will fail. See the *Invocation Requirements* section below for examples.
3. **Durable operations cannot be nested.** You cannot call `context.step()`, `context.wait()`, or `context.invoke()` from inside another step's callback. Use `context.runInChildContext()` to group operations instead.
4. **All non-deterministic code must run inside steps.** `Date.now()`, `Math.random()`, UUID generation, API calls, and database queries outside a step will produce different values on replay and corrupt execution state.
5. **Closure mutations are lost on replay** - return values from steps
6. **Side effects outside steps repeat** - use `context.logger` (replay-aware)
## When to Load Reference Files
Load the appropriate reference file based on what the user is working on:
- **Getting started**, **basic setup**, **example**, **ESLint**, or **Jest setup** -> see [getting-started.md](references/getting-started.md)
- **Understanding replay model**, **determinism**, or **non-deterministic errors** -> see [replay-model-rules.md](references/replay-model-rules.md)
- **Creating steps**, **atomic operations**, or **retry logic** -> see [step-operations.md](references/step-operations.md)
- **Waiting**, **delays**, **callbacks**, **external systems**, or **polling** -> see [wait-operations.md](references/wait-operations.md)
- **Parallel execution**, **map operations**, **batch processing**, or **concurrency** -> see [concurrent-operations.md](references/concurrent-operations.md)
- **Error handling**, **retry strategies**, **saga pattern**, or **compensating transactions** -> see [error-handling.md](references/error-handling.md)
- **Advanced error handling**, **timeout handling**, **circuit breakers**, or **conditional retries** -> see [advanced-error-handling.md](references/advanced-error-handling.md)
- **Testing**, **local testing**, **cloud testing**, **test runner**, or **flaky tests** -> see [testing-patterns.md](references/testing-patterns.md)
- **Deployment**, **CloudFormation**, **CDK**, **SAM**, **log groups**, **deploy**, or **infrastructure** -> see [deployment-iac.md](references/deployment-iac.md)
- **Advanced patterns**, **GenAI agents**, **completion policies**, **step semantics**, or **custom serialization** -> see [advanced-patterns.md](references/advanced-patterns.md)
- **troubleshooting**, **stuck execution**, **failed execution**, **debug execution ID**, **execution history**, **execution error**, **why did my execution fail**, **execution timed out**, **callback not received**, **diagnose execution**, or **root cause execution** -> see [troubleshooting-executions.md](references/troubleshooting-executions.md)
## Quick Reference
### Basic Handler Pattern
**TypeScript:**
```typescript
import { withDurableExecution, DurableContext } from '@aws/durable-execution-sdk-js';
export const handler = withDurableExecution(async (event, context: DurableContext) => {
const result = await context.step('process', async () => processData(event));
return result;
});
```
**Python:**
```python
from aws_durable_execution_sdk_python import durable_execution, DurableContext
@durable_execution
def handler(event: dict, context: DurableContext) -> dict:
result = context.step(lambda _: process_data(event), name='process')
return result
```
### Python API Differences
The Python SDK differs from TypeScript in several key areas:
- **Steps**: Use `@durable_step` decorator + `context.step(my_step(args))`, or inline `context.step(lambda _: ..., name='...')`. Prefer the decorator for automatic step naming.
- **Wait**: `context.wait(duration=Duration.from_seconds(n), name='...')`
- **Exceptions**: `ExecutionError` (permanent), `InvocationError` (transient), `CallbackError` (callback failures)
- **Testing**: Use `DurableFunctionTestRunner` class directly - instantiate with handler, use context manager, call `run(input=...)`
### Invocation Requirements
Durable functions **require qualified ARNs** (version, alias, or `$LATEST`):
```bash
# Valid
aws lambda invoke --function-name my-function:1 output.json
aws lambda invoke --function-name my-function:live output.json
# Invalid - will fail
aws lambda invoke --function-name my-function output.json
```
## IAM Permissions
Your Lambda execution role MUST have the `AWSLambdaBasicDurableExecutionRolePolicy` managed policy attached. This includes:
- `lambda:CheckpointDurableExecution` - Persist execution state
- `lambda:GetDurableExecutionState` - Retrieve execution state
- CloudWatch Logs permissions
**Additional permissions needed for:**
- **Durable invokes**: `lambda:InvokeFunction` on target function ARNs
- **External callbacks**: Systems need `lambda:SendDurableExecutionCallbackSuccess` and `lambda:SendDurableExecutionCallbackFailure`
## Validation Guidelines
When writing or reviewing durable function code, ALWAYS check for these replay model violations:
1. **Non-deterministic code outside steps**: `Date.now()`, `Math.random()`, UUID generation, API calls, database queries must all be inside steps
2. **Nested durable operations in step functions**: Cannot call `context.step()`, `context.wait()`, or `context.invoke()` inside a step function — use `context.runInChildContext()` instead
3. **Closure mutations that won't persist**: Variables mutated inside steps are NOT preserved across replays — return values from steps instead
4. **Side effects outside steps that repeat on replay**: Use `context.logger` for logging (it is replay-aware and deduplicates automatically)
When implementing or modifying tests for durable functions, ALWAYS verify:
1. All operations have descriptive names
2. Tests get operations by NAME, never by index
3. Replay behavior is tested with multiple invocations
4. Use `LocalDurableTestRunner` for local testing
## Security Considerations
- **Checkpoint data encryption**: Execution state is persisted automatically. Enable KMS encryption on associated CloudWatch Log Groups to protect checkpointed data at rest.
- **Sensitive data in step results**: Step return values are checkpointed and persisted. Do not return secrets, raw credentials, or PII from steps — store sensitive data in Secrets Manager or SSM Parameter Store and return references instead.
- **Input validation**: Validate and sanitize event payloads at the handler entry point before passing data to steps.
- **Credential management**: Retrieve secrets from AWS Secrets Manager or SSM Parameter Store within steps.
- **Callback payload validation**: Data received via `waitForCallback` originates from external systems — validate and sanitize before processing.
- **Logging**: Avoid `DEBUG` log level in non-development environments as it may expose step results and execution state. Enable CloudWatch Logs encryption with KMS.
## Resources
- [AWS Lambda durable functions Documentation](https://docs.aws.amazon.com/lambda/latest/dg/durable-functions.html)
- [JavaScript SDK Repository](https://github.com/aws/aws-durable-execution-sdk-js)
- [Python SDK Repository](https://github.com/aws/aws-durable-execution-sdk-python)
- [IAM Policy Reference](https://docs.aws.amazon.com/aws-managed-policy/latest/reference/AWSLambdaBasicDurableExecutionRolePolicy.html)
© aws · Apache-2.0 · aws/agent-toolkit-for-aws