New support issue from end user?
WORKFLOW 1: Handle Support Request (KB-first)
KB-first IT service management for AI agents — auto-resolve from knowledge base, triage incidents, track SLA compliance, manage change requests, and escalate intelligently across Slack, email, and push notifications.
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 IT service management — handle support requests with KB-first resolution, triage incidents, manage ticket lifecycle, process change requests, and track SLA compliance. Use when handling IT support issues, triaging incidents, checking SLA status, creating change requests, searching the knowledge base, or…
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.
New support issue from end user?
WORKFLOW 1: Handle Support Request (KB-first)
Existing ticket needs attention?
WORKFLOW 2: Ticket Lifecycle Management
"What's the SLA?" / "Are we breaching?"
WORKFLOW 3: SLA Monitoring
Infrastructure/code change needed?
WORKFLOW 4: Change Management
"What do we know about X?"
WORKFLOW 5: Knowledge Search
Unclear?
Ask: "Is this a new issue, an existing ticket, or a change request?"
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.
KB-first resolution, duplicate detection, auto-classification
Triage, diagnose, advance, reassign
Breach detection with escalation actions
Risk-assessed change requests with rollback plans
Find and present relevant KB articles
Tool boundary
This allowlist is declared by the skill. It keeps the agent focused on the actions needed for this job while mcp-itsm 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-itsm, and confirm the declared tools are available before asking the agent to use the workflow.
git clone https://github.com/zavora-ai/skill-itsm-service-management.git \
~/.skills/skills/itsm-service-managementlet skills = SkillLoader::from_dir("~/.skills/skills").await?;
let skill = skills.load("itsm-service-management").await?;
let agent = LlmAgentBuilder::new("agent")
.instruction(skill.instructions())
.tools(skill.allowed_tools(toolset)?)
.build()?;The repository's compatibility statement: Requires mcp-itsm server connected. Optional: mcp-slack, mcp-notifications, mcp-email for escalation workflows.
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.