"deploy", "promote", "release"?
promote_release (after run_checks)
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Agent infrastructurePublic skills
Environment & Deployment
Safe deployment operations — health checks, promotion gates, rollback, drift detection, and worker scaling across dev/staging/production.
What this skill teaches
A reusable playbook for a specific kind of work.
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.
Manage environments and deployments — inspect environments, run health checks, scale workers, promote releases, rollback, and detect configuration drift. Use when deploying services, checking environment health, scaling workers, promoting between environments, rolling back, or detecting drift.
Architecture
How Environment & Deployment guides an ADK-Rust agent.
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.
01
User request
The agent receives a goal expressed in ordinary language.
02
Environment & Deployment skill
Matches intent, supplies the decision guide, and narrows the tool boundary.
03
ADK-Rust agent
Plans the workflow and streams each meaningful step through the runtime.
04
mcp-environment
Executes authenticated operations against the system that owns the capability.
05
Verified result
The skill's completion rules shape the evidence returned to the user.
Decision guide
How the agent turns a request into the right action.
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.
"health", "status", "check"?
inspect_environment / run_checks
"scale", "workers", "capacity"?
scale_workers / worker_status
"rollback", "revert"?
rollback_release
"drift", "out of sync"?
detect_drift / sync_environment
"audit", "who deployed"?
audit_trail
Proven workflows
Repeatable sequences for useful outcomes.
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.
013 calls
Safe Promotion
Check → promote → verify
022 calls
Rollback
Revert → verify health
031-2 calls
Drift Detection
Find config mismatches
041 calls
Scale
Adjust worker capacity
Tool boundary
The skill may use 10 documented tools.
This allowlist is declared by the skill. It keeps the agent focused on the actions needed for this job while mcp-environment retains responsibility for authentication, validation, and the connected system.
list_environments
inspect_environment
sync_environment
run_checks
scale_workers
promote_release
rollback_release
audit_trail
detect_drift
worker_status
Working rules
What the agent should do.
- Run health checks before AND after promotion
- Never promote directly to production without staging verification
- Maintain rollback capability for every deployment
- Detect and resolve drift before promoting
Operating boundaries
What the agent should avoid.
- Never deploy without health checks
- Don't scale to zero without explicit confirmation
- Don't promote with detected drift (resolve first)
Install and connect
Add the skill beside the capability it expects.
Install the repository where your ADK-Rust skill loader can discover it, connect mcp-environment, and confirm the declared tools are available before asking the agent to use the workflow.
Install the skill
git clone https://github.com/zavora-ai/skill-environment-deployment.git \
~/.skills/skills/environment-deploymentADK-Rust loading shape
let skills = SkillLoader::from_dir("~/.skills/skills").await?;
let skill = skills.load("environment-deployment").await?;
let agent = LlmAgentBuilder::new("agent")
.instruction(skill.instructions())
.tools(skill.allowed_tools(toolset)?)
.build()?;The repository's compatibility statement: Requires mcp-environment server connected.
Official documentation
Read the complete skill package.
The repository remains authoritative for its exact instructions, examples, helper scripts, assets, MCP requirements, license, and later updates.
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Source record
Repository metadata for this skill entry.
- License
- Apache-2.0
- Allowed tools
- 10
- References
- 3
- Revision
- aebcf4bcb4a8
- Updated
- May 31, 2026