Introducing Skills: Microservices Validation Superpowers for Coding Agents

Signadot Skills move high-fidelity, infrastructure-backed validation directly into the coding agent's inner loop, giving agents the ability to test their own work against live services before a PR is ever opened.

Reading time 5 min

Author Anirudh Ramanathan

Published March 23, 2026

Coding agents like Claude Code and Cursor can refactor a microservice in seconds. But they cannot see how that change behaves when it hits the rest of your system. They lack the context to observe side effects, verify downstream dependencies, or confirm service health in a live environment.

For teams building on microservices, this is the core bottleneck. The real challenge is no longer the speed of writing code. It is the speed of verifying it. And as agents accelerate PR volume, the gap between generation and validation is widening fast.

Today, we are announcing the Signadot Skills framework to close that gap. Skills move high-fidelity, infrastructure-backed validation directly into the agent’s inner loop, giving coding agents the ability to test their own work against live services before a PR is ever opened.

Most agents stick to what they can do locally on the machine. While this handles basic runtime validation, it leaves a gap where complex integration issues occur later in the lifecycle.

To bridge this gap, an agent needs the ability to:

Trigger requests against live dependencies
Inspect real traffic and logs
Assert on distributed state
Debug failures autonomously when something breaks

The Signadot Skills framework provides the Actions that allow agents to interact with live Sandboxes and RouteGroups.

The Stack: Actions, Plans, and Tags

Skills are built on three layers that separate platform governance from developer flexibility.

Skills stack breakdown

1. Actions: The Primitives

Actions are platform-supported primitives like request-http, check, etc. These are governed by platform engineering and run on Runner Groups managed via the Signadot API. We are starting with a core set of actions and allowing users to contribute more to the signadot/actions repository. These ship with a default image capable of running most built-in actions.

We will be launching with a core set of built-in Actions and will open the signadot/actions repository for community contributions in the future.

2. Plans: The Logic

A Plan is a deterministic sequence of Actions generated from a prompt. You can author these prompts from your coding agent, the CLI, or the Signadot UI.

Prompt-Driven Authoring: You can create a new capability by describing it to your agent:

Terminal

      ❯ User

      Create a skill called check-location-service. It should check that the /locations endpoint returns 200 and that area-51 is returned as a location in the JSON.
    
      ❯ Agent

      I have the details. Generating the deterministic plan now.

Signadot generates a transparent DAG for you to review and test with inputs like $ENDPOINT before finalizing.

3. Tags: Versioning

Once a Plan is stable, you tag it with a version like check-location-service-v1. Tags work like Docker tags: they pin a specific, immutable snapshot of your validation logic so that your agent always invokes exactly the sequence you approved.

Skills Backed by Signadot Infrastructure

Signadot Skills are versioned capabilities backed by hardened platform infrastructure. By tagging and exporting these plans, you provide your agent with a secure gateway to execute complex validation logic against your live environment.

A generated .claude/SKILL.md looks like this:

---
name: check-location-service
description: Validates the location service endpoint in a specific sandbox.
---

Run the following command using the Bash tool:
signadot plan run check-location-service-v1 --set endpoint=$ENDPOINT --set sandbox=$SANDBOX

Summarize results. If it fails, analyze the error and propose a fix.

The Usage Journey: Autonomous Validation

You can now ask an agent to verify its own work during a refactor, collapsing functions that traditionally only lived in CI into the early development phase.

Terminal

      ❯ User

      Refactor the location service and verify that /check-location-service still passes in my sandbox.
    
      ❯ Agent

      Updates code, then invokes the skill while filling in the inputs required from context

      $ signadot plan run check-location-service-v1
    
      ❯ Agent

      Validation passed. Ready to push.

The developer receives not just a code change, but a verified result. The agent closed the loop.

Moving The Deadlock

We think Skills will have a major impact on how platform teams support developers in the age of coding agents.

Instead of shipping only CI pipelines that run after the fact, platform teams can now ship validation capabilities directly to developers and their agents. These capabilities run against real infrastructure, produce deterministic results, and are governed at the platform level.

With Skills, we are moving from agents that write code to agents that build and validate systems.

Coming Soon

Skills is launching in early Q2, 2026. If you are interested in learning more about Skills, schedule a demo call below or come talk to us on Slack. Subscribe to our newsletter to stay updated on the release.