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Dokploy Deploy

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jpropato·vlatest·backend

Automates Dokku application deployments from Git repositories using a simple configuration file.

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This skill no longer installs under the name dokploy-deploy. jpropato/siba is deleted or private, so it cannot be installed from.

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Publisher

jpropato

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Live repository

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About this skill

What it does

This skill enables AI agents to manage and deploy applications to a Dokploy instance, an open-source Platform as a Service (PaaS) that simplifies deployments on your own Virtual Private Server (VPS). It allows for both CLI-based deployment using the dokploy command or manual deployment through the Dokploy dashboard. The agent can create projects and applications within Dokploy, and trigger deployments from Git repositories or Docker images.

When to use it

  • You need to automate application deployments to your own VPS running Dokploy.
  • You want to manage multiple applications on a Dokploy instance without manual intervention.
  • You're already using Dokploy and want to integrate it with an AI agent for streamlined workflows.
  • You prefer triggering deployments programmatically via API calls.

Key capabilities

  • Application deployment to Dokploy instances.
  • Project creation within Dokploy.
  • Application creation within a Dokploy project.
  • Support for both CLI and dashboard-based deployments.
  • Integration with Git repositories (GitHub/GitLab) or Docker images.
  • Configuration of Nixpacks or Dockerfiles for builds.
  • API trigger deployment functionality.

Example prompts

  • "Deploy my application named 'my-app' to Dokploy project 'my-project'."
  • "Create a new Dokploy project called 'staging'."
  • "Trigger a deployment for the application with ID '12345' on my Dokploy instance."

Tips & gotchas

  • You will need access to a Dokploy instance, the dokploy CLI installed (npm install -g dokploy), and an API token.
  • Sensitive information like environment variables should be managed through the Dokploy dashboard or CLI, not committed directly into your repository.
  • Using Nixpacks is recommended for automatic language detection and build optimization within Dokploy.