agent-deployment-pipeline

Automate CI/CD pipelines for AI agent deployments with evaluation gates.

2|Updated Dec 14, 2025
One-click install
npx skills add https://github.com/raphaelmansuy/k8s-agent-stack --skill agent-deployment-pipeline
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-deployment-pipeline
Source: https://github.com/raphaelmansuy/k8s-agent-stack/tree/main/archive/skills/agent-deployment-pipeline
Command: npx skills add https://github.com/raphaelmansuy/k8s-agent-stack --skill agent-deployment-pipeline

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates safe, repeatable agent deployments using CI/CD pipelines, evaluation gates, and GitOps practices to reduce risk and streamline releases.

Core Features & Use Cases

  • CI/CD pipelines: Build, test, and package agent images automatically.
  • Evaluation gates: Automated safety checks before deployment.
  • GitOps with ArgoCD: Declarative deployments and progressive rollouts.
  • Canary & Production rollout: Controlled rollout strategies.

Quick Start

Push changes to the agents/* folder to trigger the pipeline; monitor status in GitHub Actions and ArgoCD dashboards.

Frequently Asked Questions about agent-deployment-pipeline

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate CI/CD pipelines for AI agent deployments?

CI/CD pipelines for agent deployments automate building, testing, and releasing code through GitHub Actions workflows. This Skill implements a multi-stage pipeline with push triggers, automated testing, evaluation gates, and progressive canary rollouts to reduce manual work and deployment risk.

What are evaluation gates and why do they matter in agent deployment?

Evaluation gates are automated safety checkpoints that run tests and validations before deployment. This Skill uses MLflow evaluation to gate decisions, ensuring agents meet safety and performance criteria before staging or production release.

How does GitOps with ArgoCD improve agent deployment workflows?

GitOps with ArgoCD enables declarative, version-controlled deployments where infrastructure state lives in Git. This Skill integrates ArgoCD for progressive rollouts and canary deployments, letting you track and roll back changes through Git commits instead of manual commands.

Can I deploy agents safely without manual testing between each stage?

Yes. This Skill automates the entire pipeline from push to production: container builds, testing, safety evaluation, staging deployment, canary rollout, and production release. Evaluation gates ensure only validated agents advance automatically.

What triggers the deployment pipeline and how do I monitor it?

Pushing changes to the agents/* folder triggers the GitHub Actions workflow automatically. Monitor pipeline status in GitHub Actions dashboards and view deployment progress in ArgoCD for real-time visibility across build, test, eval, and rollout stages.

Do I need existing CI/CD infrastructure to use this deployment approach?

This Skill targets GitHub Actions and ArgoCD environments. If you use these platforms, the Skill provides ready-to-use pipeline templates and GitOps workflows; if not, you'll need to adapt the patterns to your CI/CD platform and container registry.