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Agent Skill · 开发

aws-lambda-durable-functions(AWS lambda durable functions 部署)

用于辅助云资源、部署、容器、基础设施和运维自动化任务。它适合让 Agent 检查配置、整理部署步骤、分析资源状态、生成排障思路或辅助云服务接入。使用时需要明确目标环境、账号权限、区域和资源组,区分本地测试与生产操作;涉及删除资源、重启服务、修改网络或权限配置时,应先确认影响范围。

aws-lambda-durable-functions 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 12,974。

总安装 1,058周安装 45GitHub Stars 634下载 371核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:aws-lambda-durable-functions(AWS lambda durable functions 部署)
来源仓库:https://github.com/awslabs/agent-plugins
仓库路径:skills/aws-lambda-durable-functions
安装命令:
npx skills add https://github.com/awslabs/agent-plugins --skill aws-lambda-durable-functions
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/awslabs/agent-plugins --skill aws-lambda-durable-functions

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

用于构建支持长时间运行且具备容错能力的多步骤应用与 AI 工作流。它适合让 Agent 设计可中断恢复的流程、配置状态持久化和事件驱动架构。使用时需要验证 AWS CLI 版本、运行时环境和 Durable Execution SDK 可用性。

安装需通过 npx skills add 命令从 awslabs/agent-plugins 仓库添加 aws-lambda-durable-functions 技能。涉及长时间执行的任务需确认账户限制(最长运行一年)及检查点机制是否满足业务需求。

来源仓库内路径:skills/aws-lambda-durable-functions

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/awslabs/agent-plugins --skill aws-lambda-durab…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

aws-lambda-durable-functions 怎么安装?

在终端执行 npx skills add https://github.com/awslabs/agent-plugins --skill aws-lambda-durable-functio…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

aws-lambda-durable-functions 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

aws-lambda-durable-functions 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

aws-lambda-durable-functions 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

aws-lambda-durable-functions 用的人多吗?

公开数据是累计安装 1,058 次,近一周安装 45 次,下载 371 次,GitHub 634 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

aws-lambda-durable-functions 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
aws-lambda-durable-functions

AWS lambda durable functions 部署 · 本页

1,058634调用外部服务未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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.

Onboarding

Step 1: Validate Prerequisites

Before using AWS Lambda durable functions, verify:

  1. AWS CLI is installed (2.33.22 or higher) and configured: aws --version aws sts get-caller-identity
  2. Runtime environment is ready:

- For TypeScript/JavaScript: Node.js 22+ (node --version) - For Python: Python 3.11+ (python --version. Note that currently only Lambda runtime environments 3.13+ come with the Durable Execution SDK pre-installed. 3.11 is the min supported Python version by the Durable SDK itself, however, you could use OCI to bring your own container image with your own Python runtime + Durable SDK.)

  1. Deployment capability exists (one of):

- AWS SAM CLI (sam --version) 1.153.1 or higher - AWS CDK (cdk --version) v2.237.1 or higher - Direct Lambda deployment access

Step 2: Select language and IaC framework

Language Selection

Default: TypeScript

Override syntax:

  • "use Python" → Generate Python code
  • "use JavaScript" → Generate JavaScript code

When not specified, ALWAYS use TypeScript

IaC framework selection

Default: CDK

Override syntax:

  • "use CloudFormation" → Generate YAML templates
  • "use SAM" → Generate YAML templates

When not specified, ALWAYS use CDK

Error Scenarios

Unsupported Language
  • List detected language
  • State: "Durable Execution SDK is not yet available for [framework]"
  • Suggest supported languages as alternatives
Unsupported IaC Framework
  • List detected framework
  • State: "[framework] might not support Lambda durable functions yet"
  • Suggest supported frameworks as alternatives

Serverless MCP Server Unavailable

  • Inform user: "AWS Serverless MCP not responding"
  • Ask: "Proceed without MCP support?"
  • DO NOT continue without user confirmation

Step 3: Install SDK

For TypeScript/JavaScript:

npm install @aws/durable-execution-sdk-js
npm install --save-dev @aws/durable-execution-sdk-js-testing

For Python:

pip install aws-durable-execution-sdk-python
pip install aws-durable-execution-sdk-python-testing

When to Load Reference Files

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

Quick Reference

Basic Handler Pattern

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:

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

Critical Rules

  1. All non-deterministic code MUST be in steps (Date.now, Math.random, API calls)
  2. Cannot nest durable operations - use runInChildContext to group operations
  3. Closure mutations are lost on replay - return values from steps
  4. Side effects outside steps repeat - use context.logger (replay-aware)

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):

# Valid
aws lambda invoke --function-name my-function:1 output.json
aws lambda invoke --function-name my-function:prod 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

MCP Server Configuration

Write access is enabled by default. The plugin ships with --allow-write in .mcp.json, so the MCP server can create projects, generate IaC, and deploy on behalf of the user.

Access to sensitive data (like Lambda and API Gateway logs) is not enabled by default. To grant it, add --allow-sensitive-data-access to .mcp.json.

Resources

平台分布

Codex

34.79%
按下载量换算129

Claude

29.6%
按下载量换算110

Cursor

17.67%
按下载量换算66

Gemini CLI

9.29%
按下载量换算34

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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