Does this skill help with CI/CD efficiency?

It includes 'Smart Test Selection' patterns that use git diffs to identify which parts of the codebase changed, allowing your pipeline to skip irrelevant tests and save on compute resources.

Can I use this to categorize and label bugs automatically?

Yes, the skill includes issue triage patterns that analyze the title and body of new issues to assign labels, determine severity, and identify the relevant functional area (e.g., frontend vs. backend).

How does the AI PR review integration function?

The skill provides GitHub Action templates that capture code diffs and send them to Claude. Claude then generates a structured markdown review covering summaries, potential bugs, and security notes directly on the pull request.

What is required to set up these automations?

You will need a GitHub repository, GitHub Actions enabled, and an Anthropic API key stored as a repository secret to allow the workflows to communicate with Claude.

GitHub Workflow Automation

Name: GitHub Workflow Automation
Author: lev-os

bylev-os

0•

배포 및 DevOps

Automates GitHub development cycles through AI-driven pull request reviews, intelligent issue triage, and risk-aware CI/CD pipelines.

This skill provides a comprehensive library of patterns and GitHub Action templates designed to integrate AI directly into your DevOps workflow. It enables teams to automate repetitive tasks such as summarizing code changes, detecting potential bugs during PRs, and auto-labeling issues based on content analysis. By implementing these patterns, developers can reduce manual oversight, optimize CI/CD runtimes through smart test selection, and ensure higher deployment safety with AI-powered risk assessments.

주요 기능

01Deployment risk assessment that analyzes commit history before production releases

02Automated stale issue management and team notification patterns

030 GitHub stars

04AI-powered Pull Request reviews with automated bug detection and code suggestions

05Smart test selection logic to reduce CI/CD costs by running only relevant test suites

06Intelligent issue triage including auto-labeling, severity assessment, and repro-step validation

사용 사례

01Standardizing code review quality across a team by providing consistent AI-generated feedback

02Optimizing large monorepo CI pipelines by intelligently targeting tests to modified modules

03Scaling open-source maintenance by automating the classification and labeling of incoming issues

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add lev-os/agents github-workflow-automation

For use in Claude.ai and ChatGPT

Download Skill