Generate AI-assisted CI/CD pipeline configs for faster setup and deployment.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.CSOAI-ORG/ci-cd-generator-ai-mcp" MCP server from askskill: Run: claude mcp add 'io-github-csoai-org-ci-cd-generator-ai-mcp' -- npx -y ci-cd-generator-ai-mcp
Generate a GitHub Actions CI/CD configuration for a project using Node.js 20, pnpm, and Vitest. Include dependency installation, test execution, build steps, and automatic deployment to Docker Hub after merges to the main branch.
A usable GitHub Actions workflow config with CI checks and deployment steps.
Create a CI/CD pipeline for a FastAPI project using Python 3.11, pytest, and Docker. Run tests on each commit, and build and push images to a private registry when a tag is created.
A pipeline configuration draft for a Python service with triggers and image publishing logic.
I already have a basic CI setup. Add deployment flows for staging and production, with automatic staging deployment, manual approval for production, and a list of required environment variables.
An enhanced multi-environment CI/CD configuration with approval rules and required variables.
Schedule recurring AI tasks and automation workflows with cron-based triggers.
An AI MCP server for recruitment-related workflows.
Generate ideas and support creative planning for content and design tasks.
Access and orchestrate multiple AI models through one unified gateway.
Use AI-powered ops tools for monitoring, troubleshooting, and automation.
Connect CRM workflows with AI for customer insights and automated follow-ups.