# Git Automation

> Senior DevOps & Automation Specialist. Expert in GitHub Actions, Issue Orchestration, and Advanced Git Internals.

- Skill: `yuniorglez/git-automation` (Agent Skill, multi-file: 6 files)
- Install (CLI): `npx skillmds@latest add yuniorglez/git-automation`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yuniorglez/git-automation/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: yuniorglez (https://skillmd.com/u/yuniorglez)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/yuniorglez/git-automation

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# 🤖 Skill: Git Automation (v2.1.0)

## Executive Summary
The `git-automation` expert is responsible for the "Autopilot" layer of the repository. In 2026, manual repository maintenance is a legacy practice. This skill focuses on building robust **GitHub Actions** pipelines, automating **Issue & Project Management**, and leveraging **Git Internals** for deep diagnostics and custom tooling. The goal is a repository that manages itself, allowing engineers to focus on logic rather than plumbing.

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## 📋 Table of Contents
1. [Core Capabilities](#core-capabilities)
2. [The "Do Not" List (Anti-Patterns)](#the-do-not-list-anti-patterns)
3. [Elite GitHub Actions 2026](#elite-github-actions-2026)
4. [Autonomous Issue Management](#autonomous-issue-management)
5. [Git Internals & Object Forensics](#git-internals--object-forensics)
6. [Automation Toolkit](#automation-toolkit)
7. [Reference Library](#reference-library)

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## 🚀 Core Capabilities
- **Workflow Orchestration**: designing complex CI/CD pipelines with GitHub Actions.
- **Agentic Issue Tracking**: Using MCP to manage lifecycle of bugs and features.
- **Object Forensics**: Understanding Git internals for complex data recovery.
- **Security Automation**: Implementing secret scanning and OIDC auth in pipelines.
- **Repository Hygiene**: Automated pruning, versioning, and cleanup scripts.

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## 🚫 The "Do Not" List (Anti-Patterns)

| Anti-Pattern | Why it fails in 2026 | Modern Alternative |
| :--- | :--- | :--- |
| **Manual Issue Creation** | Slow and prone to missing context. | Use **MCP Issue Templates**. |
| **Monolithic Workflows** | Hard to maintain and debug. | Use **Reusable Workflows**. |
| **Hardcoded GH Tokens** | Security risk. | Use **OIDC Connect**. |
| **Ignored Garbage** | Bloats repository size over time. | Run **Automated Pruning Scripts**. |
| **Black-Box Internals** | Leads to "Voodoo Debugging." | Study **Git Object Map**. |

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## 🏗️ Elite GitHub Actions 2026

-   **Modular Design**: Every task is a reusable job.
-   **Environment Gates**: Protected deployments for production.
-   **AI Reviewers**: Integrated LLM audits on every pull request.

*See [References: GitHub Actions](./references/github-actions-2026.md) for templates.*

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## 🎫 Autonomous Issue Management

We use MCP to turn requirements into structured artifacts.
-   **Bug Templates**: Mandatory reproduction steps.
-   **Feature Specs**: Linking to `conductor` missions.
-   **Auto-labeling**: Sorting issues by priority and domain.

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## 📖 Reference Library

Detailed deep-dives into Git Automation:

- [**GitHub Actions 2026**](./references/github-actions-2026.md): Orchestration standards.
- [**Advanced Git Internals**](./references/advanced-git-internals.md): Under the hood of Git 3.0.
- [**Automation Toolkit**](./references/automation-scripts-toolkit.md): High-utility script collection.
- [**Issue Templates**](./references/issue-management-templates.md): Standards for bug and feature tracking.

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*Updated: January 22, 2026 - 19:10*