Ci Cd Pipeline Builder

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by eddiebe147 · vlatest · Repository

Automates CI/CD pipeline creation in AWS CodePipeline using provided configurations for faster software releases.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add ci-cd-pipeline-builder npx -- -y @trustedskills/ci-cd-pipeline-builder
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "ci-cd-pipeline-builder": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/ci-cd-pipeline-builder"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

The ci-cd-pipeline-builder skill enables AI agents to automatically generate, configure, and optimize continuous integration and deployment workflows. It streamlines the software delivery process by creating tailored pipelines that adapt to specific project requirements and infrastructure constraints.

When to use it

  • Automate the creation of CI/CD pipelines for new microservices without manual scripting.
  • Optimize existing build and deployment sequences to reduce latency and resource consumption.
  • Generate secure pipeline configurations that include necessary approval gates and compliance checks.
  • Rapidly prototype deployment strategies for cloud-native applications during development sprints.

Key capabilities

  • Auto-generates pipeline definitions based on project structure and language stack.
  • Configures multi-stage workflows including build, test, security scanning, and deployment.
  • Integrates with popular container registries and orchestration platforms.
  • Applies best practices for error handling, logging, and rollback mechanisms.

Example prompts

  • "Create a GitHub Actions pipeline for a Python Flask app that runs unit tests and deploys to AWS ECS."
  • "Generate a Jenkinsfile for a Node.js project with automated Docker image building and Kubernetes deployment."
  • "Design a CI/CD workflow that includes SonarQube security analysis before deploying to production."

Tips & gotchas

Ensure your AI agent has access to the necessary repository credentials and cloud provider APIs before generating pipelines. This skill assumes you have defined target environments; vague infrastructure descriptions may result in incomplete configurations.

Tags

🛡️

TrustedSkills Verification

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Security Audits

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Details

Version
vlatest
License
Author
eddiebe147
Installs
59

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Passed automated security scans.