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How to Bulk Create GitHub Issues Using AI and Markdown

Managing GitHub issues one by one gets old and tiring really fast, especially when you're setting up a new project, migrating tasks, or generating structured backlogs.

In this guide, I’ll show you how to bulk-create GitHub issues using AI and seed them directly into your repository with Ghit.

You can either:

  1. Generate multiple markdown files (fully automated workflow), or
  2. Generate one large markdown file and split it automatically.

Let’s break it down.


What Is Ghit?

Ghit is a command-line tool that lets you manage GitHub repositories, issues, and workflows directly from your terminal. It combines custom, high-level commands for common tasks with auto-generated commands that cover the entire GitHub REST API, making bulk operations, automation, and version-controlled issue management easy and scriptable.

Instead of manually filling forms in GitHub’s UI, the Ghit issues:seed command lets you define your issues in markdown with frontmatter, then seed them into your repository with a single command.

Installing Ghit

You can install Ghit with your preferred package manager globally or for a specific project.

npm install -g ghit
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This will install Ghit and get you ready for seeding issues to GitHub


Option 1: Generate Multiple Markdown Files (Fully Automated)

When to Use This

  • You want AI to generate separate files automatically.
  • You prefer structured issue files in a folder like issues/.
  • You want clean numbering like 001-issue-title.md.

Step 1 — Generate Issues with AI

Use a prompt like this:

Generate 5 markdown files for GitHub issues about authentication bugs.

Each issue must follow this format:

---
type: [Feature | Task | Bug ]
title: Issue Title
labels: ['label1', 'label2', 'label3']
assignees: ''
---

## Description

Explain the issue clearly.

Filename format:
001-issue-title.md
002-another-issue.md
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AI will generate multiple .md files for you.


Step 2 — Organize Files

Example structure:

issues/
├── 001-invalid-token-error.md
├── 002-session-timeout-bug.md
├── 003-password-reset-failure.md
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Step 3 — Seed the Issues

Run:

ghit issues:seed issues/
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Ghit will read every markdown file and create the corresponding GitHub issues automatically.


Option 2: Single Markdown File (Copy & Seed)

This method is perfect if:

  • AI cannot directly create files.
  • You’re working in ChatGPT and need to copy/paste.
  • You want everything inside one file.

Step 1 — Generate a Single File

Use this prompt:

Generate a single markdown file containing 3 issues about UI improvements.

Separate each issue using `++++++`.

Each issue must follow this format:

---
type: [Feature | Task | Bug ]
title: Issue Title
labels: ['label1', 'label2', 'label3']
assignees: ''
---

## Description

Explain the issue clearly.
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Step 2 — Save the File

Copy the generated content into:

bulk-issues.md
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Step 3 — Seed the Issues

Run:

ghit issues:seed bulk-issues.md
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Or with a full path (relative to the current working directory):

ghit issues:seed path/to/bulk-issues.md
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Example File Format

---
title: Bug: Login Fails
labels: bug, auth
type: Bug
---

## Description

Login fails for users with special characters in their password.

++++++

---
title: Feature: Export Data
labels: feature, data
type: Feature
---

## Description

Allow users to export their data in CSV format.
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Separator Rules

  • Must be ++++++ or ======
  • Must be on its own line
  • Each issue must contain valid frontmatter

Pro Tip: Use Dry Run First

Before creating anything for real:

ghit issues:seed bulk-issues.md --dry-run
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This shows you what will be created without actually pushing issues to GitHub.


Why This Workflow Is Powerful

  • It's perfect for project scaffolding
  • Ideal for AI-generated backlogs
  • Comes in handy for migrating Trello/Notion tasks
  • Clean, version-controlled issue definitions
  • Reproducible issue seeding

Ghit allows you to define once and seed anytime.

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