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aws-iot-greengrassAWS IOT greengrass 部署

Agent Skill

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。

总安装

256

周安装

11

GitHub Stars

11

下载量

90
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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-iot-greengrass(AWS IOT greengrass 部署)
来源仓库:https://github.com/aws-greengrass/greengrass-agent-context-pack
仓库路径:skills/aws-iot-greengrass
安装命令:
npx skills add https://github.com/aws-greengrass/greengrass-agent-context-pack --skill aws-iot-greengrass
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/aws-greengrass/greengrass-agent-context-pack --skill aws-iot-greengrass

简介

用于在容器化环境中实验 AWS IoT Greengrass 边缘运行时功能,非生产用途。

  • 支持 Greengrass Nucleus(Java 全功能)与 Lite(C 轻量级)两种运行时选择。
  • 提供组件生命周期管理、设备间 IPC 通信及本地规则引擎配置示例。
  • 每次使用前应确认目标设备资源限制(如 Lite 版 RAM <5MB),避免资源超限崩溃。
  • 适用于物联网原型开发与边缘 AI 推理等离线场景测试。

SKILL.md

Overview

AWS IoT Greengrass is an edge runtime for IoT devices. This skill covers experimentation and quick start scenarios in containerized environments — not production deployments.

Two runtimes are available:

  • Greengrass Nucleus — Full Java runtime with complete component lifecycle management and IPC support
  • Greengrass Nucleus Lite — Lightweight C runtime for constrained devices (<5MB RAM), optimized for minimal footprint

When a user doesn't specify which runtime, always ask before proceeding.

When to Use This Skill

Use this skill when:

  • Setting up Greengrass Nucleus or Lite in containers for experimentation
  • Creating or deploying custom IoT components
  • Migrating Greengrass V1 Lambda functions to V2 components
  • Troubleshooting Greengrass container or component issues
  • Working with Greengrass IPC, MQTT, or component recipes

Do NOT use this skill for:

  • Production device provisioning or fleet management
  • AWS IoT Core without Greengrass (use IoT Core docs directly)
  • Other edge runtimes (AWS IoT SiteWise, FreeRTOS, etc.)

Workflow Selection

Choose the right starting point:

Setup

Component Development

Migration

Troubleshooting

Common Mistakes

Avoid these frequent errors when working with Greengrass:

  1. Using Run instead of run in Lite recipes: Greengrass Lite is case-sensitive for all recipe lifecycle keys. Use lowercase: run, install, startup, shutdown.
  2. Deploying to individual things instead of thing groups: Greengrass Lite requires deployments to target thing groups, not individual things. Always create a thing group and deploy to the group ARN.
  3. Using boto3 for IoT Core publishing: Never use boto3 to publish to IoT Core from Greengrass components. Use GreengrassCoreIPCClientV2 from the awsiotsdk package instead.
  4. Using string QoS values: QoS must be numeric (0, 1, 2), not strings like "AT_LEAST_ONCE".
  5. Missing Token Exchange Service dependency: Components accessing AWS services (S3, DynamoDB, etc.) must declare aws.greengrass.TokenExchangeService as a hard dependency in the recipe.
  6. Including AWS CLI in containers: Don't install AWS CLI in Greengrass containers. Use static configuration with pre-fetched IoT endpoints instead — this reduces image size by ~67% and startup time by ~75%.
  7. Running Greengrass Nucleus as non-root: The full Nucleus runtime requires root privileges in containers. Use --init --privileged flags. (Lite uses ggcore user instead.)
  8. Forgetting flush=True in Python print statements: Component logs won't appear in systemd journal without explicit output flushing.

Defaults

Use these unless the user specifies otherwise:

  • Container runtime: Podman (preferred over Docker)
  • Region: us-east-1
  • Working directory: /tmp/ for setup files and configurations
  • Component language: Python
  • Deployment method: Cloud deployment (preferred over local for full AWS experience)
  • Recipe format: YAML (easier for local development than JSON)

LLM Context Files

For up-to-date API and service documentation (covers both Nucleus and Lite):

Reference Files

Load these as needed for detailed implementation guidance:

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.74%
按下载量换算33

Claude

27.37%
按下载量换算25

Cursor

19.04%
按下载量换算17

Gemini CLI

9.04%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

未通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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