Verified:GitHub

aif-ci

Generate and audit CI/CD pipelines for GitHub Actions or GitLab CI.

Updated Apr 21, 2026

Search Tags:#devops #ci/cd #static analysis #github actions #continuous integration #gitlab ci #pipeline generation

One-click install

npx skills add https://github.com/marinkobabic/dario-shop --skill aif-ci-marinkobabic

Or copy as Structured Prompt for Agent▼

Please help me install this Agent Skill.
Skill: aif-ci
Source: https://github.com/marinkobabic/dario-shop/tree/main/.claude/skills/aif-ci
Command: npx skills add https://github.com/marinkobabic/dario-shop --skill aif-ci-marinkobabic

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill eliminates the tedious, error-prone work of manually configuring CI/CD pipelines, ensuring your project has consistent, production-grade continuous integration and deployment workflows tailored to its unique tech stack and existing tooling.

Core Features & Use Cases

Auto Tech Stack Detection: Scans your project to identify language, package manager, linters, test frameworks, and existing CI configurations without manual input.
Multi-Platform Pipeline Generation: Creates production-ready workflows for GitHub Actions or GitLab CI, with separate dedicated jobs for linting, static analysis, testing, and security scanning.
Pipeline Enhancement & Audit: Improves incomplete existing CI setups by adding missing jobs, or audits full pipelines against industry best practices to fix gaps and optimize performance.
Use Case: For a Node.js e-commerce project, use this Skill to automatically generate a CI pipeline with ESLint linting, Vitest tests, and npm audit security scanning, all configured to match the project's existing dependencies and conventions.

Quick Start

Use the aif-ci skill to generate a GitHub Actions CI pipeline for this project with linting, testing, and security scanning enabled.

Frequently Asked Questions about aif-ci

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

FAQPage Schema

How do I generate a GitHub Actions CI pipeline with separate jobs for testing and security scanning?▼

To generate a GitHub Actions CI pipeline, the Skill scans your project's tech stack and tooling to create isolated jobs for linting, static analysis, testing, and security scanning. It configures built-in dependency caching, matrix version testing, and service containers automatically.

Can I automatically add missing CI/CD jobs to an incomplete GitLab CI configuration?▼

Yes, you can enhance incomplete GitLab CI configurations. The Skill audits existing setups against DevOps best practices, adds missing pipeline jobs, and optimizes performance based on the detected project tooling.

Does CI/CD pipeline generation work with Go, Rust, and Node.js projects?▼

CI/CD pipeline generation works across multiple languages including Go, Rust, Node.js, PHP, Python, and Java. The Skill detects the specific language, package manager, linters, and test frameworks installed to tailor the workflow accordingly.

What is the best way to automate continuous integration workflow creation without manual configuration?▼

The best way to automate continuous integration workflow creation is using tech stack detection to build production-grade pipelines. This approach eliminates manual configuration effort and reduces human error by generating isolated jobs for linting, static analysis, and testing.

Do I need to manually specify my linters and test frameworks to generate a CI pipeline?▼

No, you do not need to manually specify linters or test frameworks. The Skill auto-detects your project's language, package manager, and installed tooling to generate a matching CI/CD pipeline without requiring manual input.

Why should I use an automated pipeline generator instead of writing CI workflows by hand?▼

You should use an automated pipeline generator to eliminate tedious, error-prone manual configuration. It ensures consistent, production-grade continuous integration workflows by automatically applying best practices like matrix testing and dependency caching tailored to your stack.