kuberocketai

🥈Silver

KubeRocketAI is a declarative framework for AI-driven software development. It enables teams to define, validate, and orchestrate AI agents as code. This makes the software development lifecycle (SDLC) transparent, auditable, and CI/CD-ready. It integrates with tools like VSCode, Cursor, and Windsurf, benefiting operations teams by automating and streamlining software development workflows.

2960Updated 1w ago

Intermediate30min to implementautomation

Saves ~140 min per use

Quick InstallView Source

git clone https://github.com/KubeRocketCI/kuberocketai.git

Works with:

Claude

Overview

About This Skill

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/KubeRocketCI/kuberocketai

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Create a KubeRocketAI configuration file for a [COMPANY] in the [INDUSTRY] sector. The configuration should include AI agents for [SPECIFIC TASKS], integrating with [TOOLS] like VSCode and Cursor. Ensure the configuration is CI/CD-ready and includes validation rules for the AI agents' outputs.

Example Output

# KubeRocketAI Configuration for [COMPANY]

```yaml
apiVersion: kuberocketai/v1
kind: AIWorkflow
metadata:
  name: [COMPANY]-ai-workflow
spec:
  agents:
    - name: code-review-agent
      type: code-review
      tools:
        - vscode
        - cursor
      validation:
        - rule: "output must be in markdown format"
        - rule: "output must include at least 3 suggestions"
    - name: deployment-agent
      type: deployment
      tools:
        - windsurf
      validation:
        - rule: "output must include deployment status"
        - rule: "output must include error handling steps"
  ci/cd:
    - pipeline: "github-actions"
    - pipeline: "gitlab-ci"
```

## Agent Descriptions

### Code Review Agent
- **Purpose**: Automates code review process
- **Tools**: VSCode, Cursor
- **Validation Rules**: Output must be in markdown format, include at least 3 suggestions

### Deployment Agent
- **Purpose**: Automates deployment process
- **Tools**: Windsurf
- **Validation Rules**: Output must include deployment status, error handling steps

## CI/CD Integration
- **Pipelines**: GitHub Actions, GitLab CI
- **Triggers**: On push to main branch, on merge requests