From 82dd482ed92abf6fecab4de2fbbf6d9a91138d56 Mon Sep 17 00:00:00 2001 From: Laith Al-Saadoon <9553966+theagenticguy@users.noreply.github.com> Date: Wed, 6 May 2026 11:49:51 -0400 Subject: [PATCH 1/2] docs: agent toolkit launch README Added information about the Agent Toolkit for AWS and its benefits for developers using AI coding agents. Signed-off-by: Laith Al-Saadoon <9553966+theagenticguy@users.noreply.github.com> --- README.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/README.md b/README.md index c43c418f..02a74252 100644 --- a/README.md +++ b/README.md @@ -5,6 +5,9 @@ _Read this in other languages: [日本語](README.jp.md)_ > [!IMPORTANT] > Generative AI can make mistakes. You should consider reviewing all output and costs generated by your chosen AI model and agentic coding assistant. See [AWS Responsible AI Policy](https://aws.amazon.com/ai/responsible-ai/policy/). +> [!TIP] +> The [Agent Toolkit for AWS](https://aws.amazon.com/about-aws/whats-new/2026/05/agent-toolkit/) is now live! The Agent Toolkit for AWS is the successor to the MCP servers, plugins, and skills available on AWS Labs, and was informed by feedback from customers like you. If you're building production software using coding agents or building agents for your own customers, we recommend Agent Toolkit for AWS. It includes IAM condition keys to distinguish agent actions from human ones, CloudWatch and CloudTrail visibility, and skills that have been evaluated for accuracy and effectiveness. This repo continues to work and accept contributions. Over time, the most useful projects here will move into Agent Toolkit for AWS. + Agent Plugins for AWS equip AI coding agents with the skills to help you architect, deploy, and operate on AWS. Agent plugins are currently supported by Claude Code, Codex, and Cursor. AI coding agents are increasingly used in software development, helping developers write, review, and deploy code more efficiently. Agent skills and the broader agent plugin packaging model are emerging as best practices for steering coding agents toward reliable outcomes without bloating model context. Instead of repeatedly pasting long AWS guidance into prompts, developers can now encode that guidance as reusable, versioned capabilities that agents invoke when relevant. This improves determinism, reduces context overhead, and makes agent behavior easier to standardize across teams. Agent plugins act as containers that package different types of expertise artifacts together. A single agent plugin can include: From 86a03e43ead6e6868a58b07e33e3307523db7f45 Mon Sep 17 00:00:00 2001 From: Laith Al-Saadoon <9553966+theagenticguy@users.noreply.github.com> Date: Wed, 6 May 2026 12:22:35 -0400 Subject: [PATCH 2/2] docs: fix lint issues Added a section about the new Agent Toolkit for AWS and its benefits for developers. Signed-off-by: Laith Al-Saadoon <9553966+theagenticguy@users.noreply.github.com> --- README.md | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/README.md b/README.md index 02a74252..93b9dbb7 100644 --- a/README.md +++ b/README.md @@ -5,9 +5,15 @@ _Read this in other languages: [日本語](README.jp.md)_ > [!IMPORTANT] > Generative AI can make mistakes. You should consider reviewing all output and costs generated by your chosen AI model and agentic coding assistant. See [AWS Responsible AI Policy](https://aws.amazon.com/ai/responsible-ai/policy/). +## What's new + > [!TIP] > The [Agent Toolkit for AWS](https://aws.amazon.com/about-aws/whats-new/2026/05/agent-toolkit/) is now live! The Agent Toolkit for AWS is the successor to the MCP servers, plugins, and skills available on AWS Labs, and was informed by feedback from customers like you. If you're building production software using coding agents or building agents for your own customers, we recommend Agent Toolkit for AWS. It includes IAM condition keys to distinguish agent actions from human ones, CloudWatch and CloudTrail visibility, and skills that have been evaluated for accuracy and effectiveness. This repo continues to work and accept contributions. Over time, the most useful projects here will move into Agent Toolkit for AWS. +--- + +## Agent Plugins for AWS + Agent Plugins for AWS equip AI coding agents with the skills to help you architect, deploy, and operate on AWS. Agent plugins are currently supported by Claude Code, Codex, and Cursor. AI coding agents are increasingly used in software development, helping developers write, review, and deploy code more efficiently. Agent skills and the broader agent plugin packaging model are emerging as best practices for steering coding agents toward reliable outcomes without bloating model context. Instead of repeatedly pasting long AWS guidance into prompts, developers can now encode that guidance as reusable, versioned capabilities that agents invoke when relevant. This improves determinism, reduces context overhead, and makes agent behavior easier to standardize across teams. Agent plugins act as containers that package different types of expertise artifacts together. A single agent plugin can include: