
Multi-Space DevOps Agent
OfficialFreeManage AWS DevOps across multiple AgentSpaces seamlessly.
Free · Opens the source repo
What Multi-Space DevOps Agent does
The Multi-Space DevOps Agent skill enables users to coordinate AWS DevOps tasks across multiple configured AgentSpaces from a single Claude Code session. This skill is particularly useful for teams that operate in environments such as production, staging, and knowledge sharing. By allowing for the routing of questions to the appropriate space, users can efficiently query multiple environments in parallel or synthesize findings across different AWS accounts. This capability is essential for organizations that need to maintain clear and organized workflows across various stages of development and operations.
To utilize this skill, users must ensure that they have the necessary SigV4 authentication set up, as Bearer tokens are limited to a single AgentSpace. When multiple spaces are configured, the skill intelligently determines the best routing strategy based on the nature of the user’s query. For instance, if a user asks to compare error rates between production and staging, the skill will execute parallel queries to both spaces and synthesize the results into a single, coherent answer, highlighting the differences and similarities.
The skill also supports the creation of a routing guide that can streamline future interactions by storing information about the various AgentSpaces and their purposes. This guide can be generated automatically if the user does not have one, saving time and reducing the need for repetitive discovery processes. By leveraging this skill, teams can enhance their operational efficiency, reduce the risk of errors, and ensure that they are accessing the right information at the right time.
In summary, the Multi-Space DevOps Agent skill is designed for developers and DevOps teams who manage multiple AWS environments and need a streamlined way to interact with them. Its capabilities facilitate better decision-making and operational clarity in complex multi-space configurations.
When to use it
Use this skill when you need to interact with multiple AWS AgentSpaces, such as comparing environments or querying shared knowledge.
When not to use it
This skill is not suitable for scenarios where only a single AgentSpace is involved, as it is designed for multi-space coordination.
What you can build with it
Comparing Production and Staging
When a user wants to compare error rates between production and staging environments, the skill queries both spaces in parallel and synthesizes the results.
Accessing Shared Knowledge
If a user needs to look up runbooks for a specific issue, the skill first queries the knowledge space and then applies the findings in the relevant environment.
Creating a Routing Guide
If the user does not have a routing guide, the skill can discover all configured AgentSpaces and create a guide to streamline future interactions.
How to install Multi-Space DevOps Agent
View source1. Install with the skills CLI
npx skills add aws/agent-toolkit-for-aws/coordinating-multi-space-devops-agent --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by awsQuerying multiple AgentSpaces
Pre-flight
If aws_devops_agent__list_agent_spaces is not in your available tools, the remote MCP server is not connected. Tell the user to ask "help me set up the AWS DevOps Agent" so the setup-devops-agent skill auto-loads.
Prerequisite: SigV4 auth required
Multi-space routing requires SigV4 authentication — Bearer tokens are scoped to a single AgentSpace and cannot route to other spaces.
Many real teams run more than one AgentSpace — typically a production space, a staging space, and a dedicated "knowledge" space that holds runbooks shared across accounts. Each space has its own set of associated AWS accounts, runbooks, and history.
This skill is the routing brain. Use it when the user has multiple spaces configured, or when a question genuinely spans accounts.
Discovering spaces
aws_devops_agent__list_agent_spaces()
→ {"agentSpaces": [{"agentSpaceId": "as-abc123", "name": "prod"}, ...]}
If only one space is returned, this skill doesn't apply — use chatting-with-aws-devops-agent or investigating-incidents-with-aws-devops-agent directly (no agent_space_id needed).
If more than one is returned, decide whether the user's question is:
| Question shape | Strategy |
|---|---|
| Scoped to one environment ("prod is broken") | Single space — pick the matching one |
| Spans environments ("compare prod vs staging") | Parallel — query each, synthesize |
| Generic knowledge ("what runbooks do we have for ECS?") | Route to the knowledge space if one is named that way |
| Ambiguous ("our service is slow") | Ask the user which environment, don't guess |
Per-session routing memory
If the user has a routing guide stored locally (e.g. .claude/aws-agents-for-devsecops.md, AGENTS.md, or per-project notes), read it once at the start of the session and use it as the routing table for the rest of the conversation. Format expected:
| Space | AWS Profile | Agent Space ID | Purpose |
|-------|-------------|----------------|---------|
| prod | acme-prod | as-abc123 | Production incidents, customer-facing services |
| stage | acme-stage | as-def456 | Pre-prod validation, integration testing |
| kb | acme-shared | as-ghi789 | Shared runbooks, cross-account knowledge |
If no guide exists, run discovery:
aws_devops_agent__list_agent_spaces()→ get all spaces.- For each space:
aws_devops_agent__chat(message="Summarize the AWS accounts, services, and runbooks you have access to.", agent_space_id="<SPACE_ID>")→ get a one-paragraph summary. - Offer to write the routing guide to the project (e.g.
.claude/aws-agents-for-devsecops.md,AGENTS.md, or per-project notes) so future sessions skip discovery.
Pattern A — Parallel queries, one synthesized answer
Use when the user wants a comparison: "compare prod and staging error rates", "is this issue happening in both accounts?", "audit costs across all our environments".
# 1. Query each space in parallel with environment-specific context
aws_devops_agent__chat(message="<question> | env=prod | <prod IaC context>", agent_space_id="PROD_ID")
→ {"executionId": "...", "answer": "..."}
aws_devops_agent__chat(message="<question> | env=stage | <stage IaC context>", agent_space_id="STAGE_ID")
→ {"executionId": "...", "answer": "..."}
# 2. Synthesize locally — present a side-by-side summary, not two separate dumps
Don't just paste both responses. Read both, identify what's the same vs. different, and tell the user the delta — that's the value.
Pattern B — Knowledge lookup, then per-space action
Use when one space holds runbooks/knowledge that informs work in another space.
# 1. Ask the knowledge space first
aws_devops_agent__chat(
message="What's our standard runbook for ECS 503 errors?",
agent_space_id="KB_ID"
)
→ {"answer": "<runbook text>"}
# 2. Apply that runbook in the target environment
aws_devops_agent__investigate(
title="ECS 503 errors on checkout-service. [Runbook from knowledge space] <runbook text> [Local context] ...",
agent_space_id="PROD_ID",
priority="HIGH"
)
The DevOps Agent doesn't share state between spaces — you bridge it by quoting the knowledge space's response into the investigation's title.
Pattern C — Targeted single-space query
Use when the user explicitly names a space or environment.
# Pick the matching agentSpaceId from your routing memory, pass it on the call
aws_devops_agent__chat(message="<question>", agent_space_id="<matched_space_id>")
If the routing is ambiguous and the user doesn't say, ask once — better than firing into the wrong account.
Pattern D — Investigations don't share state
Investigations are per-space. If an issue spans accounts, you may need two investigations:
aws_devops_agent__investigate(title="Latency spike — prod side", agent_space_id="PROD_ID", priority="HIGH")
aws_devops_agent__investigate(title="Latency spike — stage side", agent_space_id="STAGE_ID", priority="HIGH")
Track both taskIds. Poll both. Surface findings together.
This is rare — usually one space owns the problem. Don't fan out by default.
What NOT to do
- Don't blast every space with every question. It's slow, expensive, and the user has to read 3× as much output.
- Don't fan out without verifying scope. If a space's
descriptionor recorded coverage doesn't mention the relevant service, skip it — sending a question into a scope-mismatched space typically hangs rather than returning "I don't know." - Don't fire investigations in parallel by default. They take 5–8 minutes each. Pick the one space that owns the incident.
- Don't silently switch spaces mid-conversation. If a follow-up needs a different space, tell the user: "Switching to the knowledge space to look up the runbook."
Timeout guidance
The chat tool buffers the full response server-side before returning. Complex cross-account queries can take 30-90s per space. If a space doesn't respond within 90s, it's likely a scope mismatch — surface a message like "Space X did not respond within 90s — skipping (likely scope mismatch)" and move on rather than hanging.
See also
examples/multi-space-walkthrough.mdfor a fully worked scenario (prod incident with staging comparison and knowledge-space runbook lookup).- The
setup-devops-agentskill for first-time configuration of multiple AgentSpaces, AWS profiles, and shell wrappers.
Frequently asked questions about Multi-Space DevOps Agent
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