"deploy", "ship", "release", "new version"?
WORKFLOW 1: Deploy
Cloud operations for AI agents — deploy services, scale replicas, manage DNS, rotate secrets, promote between environments, monitor costs, and rollback on failure.
What this skill teaches
An MCP server tells an agent which actions are available. A skill adds the judgment around those actions: how to recognize the job, which sequence to follow, what to avoid, and how to decide that the result is complete.
Orchestrate cloud infrastructure — deploy services, scale replicas, manage DNS, handle secrets, promote between environments, monitor costs, and rollback on failure. Use when deploying services, scaling applications, managing DNS records, rotating secrets, promoting to production, checking costs, or rolling back…
Architecture
The skill stays readable and portable because it contains instructions rather than service credentials or business data. ADK-Rust supplies it to the agent, the agent chooses from its reviewed tool boundary, and the connected MCP server performs the authenticated operation.
The agent receives a goal expressed in ordinary language.
Matches intent, supplies the decision guide, and narrows the tool boundary.
Plans the workflow and streams each meaningful step through the runtime.
Executes authenticated operations against the system that owns the capability.
The skill's completion rules shape the evidence returned to the user.
Decision guide
These routes come directly from the skill instructions. They help the model recognize intent and select a focused tool or workflow instead of improvising across the entire capability surface.
"deploy", "ship", "release", "new version"?
WORKFLOW 1: Deploy
"scale", "replicas", "capacity"?
WORKFLOW 2: Scale
"rollback", "revert", "undo"?
WORKFLOW 3: Rollback
"DNS", "domain", "record"?
WORKFLOW 4: DNS Management
"secret", "env var", "API key", "rotate"?
WORKFLOW 5: Secrets
"promote", "staging to prod"?
WORKFLOW 6: Promotion
"costs", "spending", "bill"?
WORKFLOW 7: Cost Analysis
"health", "status", "services"?
list_services / get_cluster_health
Proven workflows
A workflow joins several tool calls into a task the user actually recognizes. The skill explains the sequence and the intended result while ADK-Rust streams the agent's progress through the shared runtime.
Deploy → verify logs → check resources
Check resources → check costs → scale
Revert → verify healthy
List → set/update record
Set/rotate → restart service
Verify staging → promote → verify prod
Tool boundary
This allowlist is declared by the skill. It keeps the agent focused on the actions needed for this job while mcp-infrastructure retains responsibility for authentication, validation, and the connected system.
Working rules
Operating boundaries
Install and connect
Install the repository where your ADK-Rust skill loader can discover it, connect mcp-infrastructure, and confirm the declared tools are available before asking the agent to use the workflow.
git clone https://github.com/zavora-ai/skill-cloud-infrastructure.git \
~/.skills/skills/cloud-infrastructurelet skills = SkillLoader::from_dir("~/.skills/skills").await?;
let skill = skills.load("cloud-infrastructure").await?;
let agent = LlmAgentBuilder::new("agent")
.instruction(skill.instructions())
.tools(skill.allowed_tools(toolset)?)
.build()?;The repository's compatibility statement: Requires mcp-infrastructure server connected (supports any cloud platform via API).
Official documentation
The repository remains authoritative for its exact instructions, examples, helper scripts, assets, MCP requirements, license, and later updates.
Keep exploring
Source record
Repository metadata for this skill entry.