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chatting-with-aws-devops-agent

Skill

Have a fast, conversational analysis with the AWS DevOps Agent. Use for cost optimization, architecture review, topology mapping, knowledge / runbook discovery, security audits, dependency questions, and quick diagnostics — anything that needs a 5-30 second answer rather than a 5-8 minute deep inves

0Cloud

Install

git clone https://github.com/aws/agent-toolkit-for-aws.git ~/.claude/skills/chatting-with-aws-devops-agent

What is chatting-with-aws-devops-agent?

Have a fast, conversational analysis with the AWS DevOps Agent. Use for cost optimization, architecture review, topology mapping, knowledge / runbook discovery, security audits, dependency questions, and quick diagnostics — anything that needs a 5-30 second answer rather than a 5-8 minute deep investigation. Trigger words include cost, optimize, review, architecture, topology, what runbooks, show me, compare, audit, what if.

What this can do

Capabilities declared in this component's own frontmatter — not inferred.

Inherit all session tools

Declares no tool restrictions — inherits every session tool

~107 tokens of context used while enabled, before you invoke anything

Documentation

README · ~3 min read

Chat with the AWS DevOps Agent

AgentSpace routing (SigV4 only): If list_agent_spaces is available in your tool list and the multi-space orchestration skill has NOT been invoked yet this session, invoke it first to determine which agent_space_id to use. Then pass agent_space_id on all tool calls below. For bearer token auth this is unnecessary — the token is already scoped to one space.

Chat is the default. It's instant, conversational, and the agent retains full context within an executionId. Only escalate to investigating-incidents-with-aws-devops-agent when the user describes an incident or the agent itself suggests deeper analysis is warranted.

How to send messages

Primary — use the chat tool:

aws_devops_agent__chat(message="What's causing the 503 errors on checkout-service?")
→ {"executionId": "uuid", "answer": "Based on my analysis..."}

One call, full answer. No session setup needed — the tool handles CreateChat + SendMessage + response parsing internally.

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