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Itential Goes Headless: Introducing AI Skills for Builders, Operators & Admins of Network Automation

Headshot of Ankit Bhansali, Principal Architect of AI Solutions and Strategy at Itential, designing automation and orchestration solutions for complex networking challenges.
Ankit Bhansali
Principal Architect – AI Solutions & Strategy
Last updated October 26, 2026

Key Takeaways

    • Itential AI Skills gives supported AI coding agents platform-specific guidance for building, operating, and administering Itential.
    • Builder Skills connects requirements to workflows, FlowAgents, and other assets through a spec-driven process with engineer review, testing, and documentation.
    • Operator Skills supports existing automation, including job execution, failure investigation, approvals, and schedules.
    • Admin Skills covers platform health, services, access, integrations, and configuration.
    • The packs work independently or alongside one another. Teams can move between their coding harness and Itential’s graphical interfaces to work on the same platform assets and jobs.
    • Broader participation helps teams grow their automation programs, while Itential connects agentic development and operations to platform permissions and governed execution.

You start the morning investigating a failed job. Before you finish, someone asks for access to an integration. Then you get back to the provisioning workflow you were supposed to deliver yesterday.

For network and infrastructure engineers, those responsibilities often land on the same desk. Building automation, running it, and maintaining the platform behind it are all part of getting the work done.

With the introduction of Itential AI Skills, you can bring that work into your AI coding harness. Three open-source packs, Builder, Operator, and Admin, supply the Itential-specific guidance to turn plain-language requests into platform actions.

Ask for the workflow you need. Inspect the job that failed. Check the environment supporting your automation. Work through Claude Code, Codex, GitHub Copilot, or Cursor, with Itential providing the platform permissions and execution controls behind the actions.

Agentic Development Meets the Rest of the Working Day

Agentic development creates an opportunity for network and infrastructure teams to turn their knowledge into working automation faster. An engineer can describe the intended behavior, work through a design, and review an implementation with help from a coding agent.

But delivering that implementation creates ongoing work. Someone needs to run it, inspect its results, handle failures, and maintain the services and access it depends on.

Builder Skills supports the delivery process. Operator and Admin Skills extend the same way of working into the operational and administrative tasks around it. You can move between those responsibilities in your coding environment, using the guidance appropriate to the task.

The practical benefit is less time assembling API requests and gathering platform details, with more time to apply your engineering judgment.

What Makes These Itential Skills?

A general coding agent can help write a request. Working effectively with a platform also requires knowing which resources to inspect, how they relate, which inputs an action needs, and how to check the result.

How Skill Work

AI Skills in Practices

For example, an automation’s execution inputs come from its underlying workflow. A failed job has task-level information worth inspecting before requesting another run. Adding a role to a group requires preserving its existing assignments.

The skills carry those procedures into the coding harness. They help the agent approach an Itential task with relevant platform knowledge instead of making you supply each detail.

That gives teams a headless way to work with Itential: describe and carry out platform work through a coding harness connected to your environment.

The skills run in the coding harness and interact with Itential through its APIs. They do not require the Itential MCP Server, and they are distinct from FlowAgents running inside the platform.

Multiple Ways to Work With Itential

AI Skills gives teams another way to work with Itential, alongside its graphical interfaces and direct API access. You can build a workflow through your coding harness, inspect or edit it in the graphical interface, then return to the harness to investigate a job.

Your team can mix these approaches to suit the task and the person doing it. An operator might use the application interface while an engineer uses AI Skills against the same environment. The assets and jobs live in the same platform, with permissions applying to the account used for each action.

Builder Skills: Turn Requirements Into Something You Can Support

Consider a request: “Build a VLAN provisioning workflow with validation before and after the change.”

The request establishes the goal. There are still engineering decisions to make: required inputs, target systems, validation checks, failure handling, and what constitutes a successful result.

Builder Skills guides that work through requirements, feasibility, design, build, test, and as-built documentation. Engineers can review each step and control the testing and validation.

The resulting asset might be a workflow or FlowAgent. Builder also supports forms, command templates, configuration and compliance assets, Lifecycle Manager resources, and Itential Gateway services.

The documentation matters after the initial delivery. When another engineer needs to change the automation, the requirements, design, and test results give them a starting point.

You can also use Builder Skills to document an existing project before making its next change.

Operator Skills: Understand What Happened & Choose the Next Action

Once automation is running, the questions change. “Show me the jobs that failed today and the errors behind them.”

Operator Skills guides the agent through finding the jobs, inspecting the failed tasks, and retrieving relevant error information and results. You can use those findings to decide whether to correct an input, investigate a dependency, retry a task, or escalate.

A reported error is evidence for that decision. It may still take investigation to establish the underlying cause.

Operator Skills also helps you find existing automation, inspect its required inputs, request a run, and check the resulting job. You can review waiting manual tasks, submit the outcome you specify, and manage automation triggers and schedules.

For an engineer handling an operational queue, that puts several familiar tasks in one working environment. Start with what needs attention, inspect the information, and request the appropriate next step.

Admin Skills: Maintain the Environment the Work Depends On

Sometimes the job is healthy, but the environment needs attention. An adapter has stopped. A new integration needs access. A team needs a service account.

Start with: “Check the health of my Itential environment and flag what needs attention.”

Admin Skills supports inspecting platform components and their states, then carrying out the administration work you request. Its scope includes services, accounts, groups, roles, service accounts, SSO, integrations, and configuration.

For an integration request, the work can include creating the integration model and instance, assigning the required access, and checking that its tasks are available to the intended users.

That is useful to administrators and to engineers who share responsibility for the automation environment. The platform work surrounding a delivery can happen through the same coding harness used to build and operate it.

Three Packs, Connected Responsibilities

Take an interface compliance use case.

  • You use Builder Skills to define and build the workflow, review its checks, and test the result.
  • You use Admin Skills to configure the integration and access the workflow needs.
  • You use Operator Skills to schedule the existing automation, inspect its jobs, and investigate a failed run.

Those tasks have different procedures and may belong to different people. The packs provide guidance for each responsibility while working against the connected Itential environment.

You can install one pack for the work you own or use all three when your responsibilities span the lifecycle.

More Capacity Across the Automation Program

For an organization, the value extends beyond completing an individual task faster. When more engineers and operators can apply their expertise without first mastering every platform detail, work depends less on a small group of specialists. Experienced users can spend more time on complex engineering, while other team members take on the building, operational, and administrative tasks within their responsibilities. That helps teams shorten delivery cycles, put existing automation to broader use, and grow the program with the people they already have.

Connect Agentic Development & Operations to Governed Execution

As AI makes it easier to build and operate automation, the platform executing that work becomes more important. Itential AI Skills connects the flexibility of an AI coding harness to the Itential Platform’s permissions, execution controls, and operational visibility. Teams can work through plain-language requests while Itential authenticates the connected account, enforces its access, and manages the resulting platform actions. Whether engineers build a workflow with defined steps or a FlowAgent that reasons through a task at runtime, Itential provides the governed execution foundation for the infrastructure actions.

Skills guide how the coding agent approaches the work. Engineers still review proposed changes, control testing and validation, and assess results. Organization and team guidance can add naming conventions, design standards, and change procedures alongside the controls enforced by the platform. Together, these give teams a way to accelerate agentic development and operations while retaining control over how that work reaches their infrastructure.

Start With One Task You Already Understand

Choose a task where you can assess the result.

Inspect a failed job. Check platform health. Document an existing project. Then move into building or changing assets as you become familiar with the approach.

Install the relevant pack, configure your Itential connection, and open your supported coding harness. The repositories document installation and invocation for Claude Code, Codex CLI, GitHub Copilot CLI, GitHub Copilot in VS Code, and Cursor.

Start with the pack that matches your responsibilities. Use your coding harness, Itential’s graphical interfaces, or both as the work requires.

Explore Itential AI Skills and choose the pack for your next task.

Get Started with Itential AI Skills →

Register for the Live Webinar to See It In Action →

Headshot of Ankit Bhansali, Principal Architect of AI Solutions and Strategy at Itential, designing automation and orchestration solutions for complex networking challenges.
Ankit Bhansali is a Principal Architect – AI Solutions & Strategy at Itential. Drawing on a strong research background in software and networking, he designs innovative solutions to address the industry’s most complex challenges. His strategic approach empowers businesses to achieve transformative growth through robust automation and end to end orchestration.
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