Automate Github Issues logo

Automate Github Issues

Organization
google-labs-code
automate-github-issues

Set up automated GitHub issue triage and resolution using parallel Jules coding agents

Overview

Publishergoogle-labs-code
Repositoryjules-skills
Skill nameautomate-github-issues
Stars
100
Forks
17
Bundled files
17
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 17 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by google-labs-code on GitHub. Read the source before you install it.

Installation

Install the Automate Github Issues AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/google-labs-code/jules-skills/tree/main/skills/automate-github-issues
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/google-labs-code/jules-skills.git /tmp/jules-skills
mkdir -p .claude/skills
cp -r /tmp/jules-skills/skills/automate-github-issues .claude/skills/automate-github-issues
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Automate Github Issues in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Automate Github Issues on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Automate Github Issues is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Automate GitHub Issues with Jules

You are setting up a repository to automatically analyze open GitHub issues, plan implementation tasks, and dispatch parallel Jules coding agents to fix them.

What You're Setting Up

A 5-phase automated pipeline that runs via GitHub Actions (or locally):

  1. Analyze — Fetch open issues and format as structured markdown
  2. Plan — A Jules session performs deep code-level triage and produces self-contained task prompts
  3. Validate — Verify no two tasks modify the same file (prevents merge conflicts)
  4. Dispatch — Spawn parallel Jules sessions, one per task
  5. Merge — Sequential PR merge with CI validation

Setup Steps

Step 1: Copy fleet scripts to the repository

Copy the entire scripts/ directory from this skill into the target repository at scripts/fleet/:

Target structure:
scripts/fleet/
├── fleet-analyze.ts
├── fleet-plan.ts
├── fleet-dispatch.ts
├── fleet-merge.ts
├── types.ts
├── prompts/
│   ├── analyze-issues.ts
│   └── bootstrap.ts
└── github/
    ├── git.ts
    ├── issues.ts
    ├── markdown.ts
    └── cache-plugin.ts

Important: Preserve the directory structure exactly. The scripts use relative imports between files.

Step 2: Copy workflow templates

Copy the workflow files from assets/ to the repository's .github/workflows/ directory:

  • assets/fleet-dispatch.yml → .github/workflows/fleet-dispatch.yml
  • assets/fleet-merge.yml → .github/workflows/fleet-merge.yml

Step 3: Create a package.json for the fleet scripts

Create scripts/fleet/package.json with the required dependencies:

json
{
  "name": "fleet-scripts",
  "private": true,
  "type": "module",
  "dependencies": {
    "@google/jules-sdk": "^0.1.0",
    "octokit": "^4.1.0",
    "find-up": "^7.0.0"
  },
  "devDependencies": {
    "@types/bun": "^1.2.0"
  }
}

Step 4: Create environment template

Copy assets/.env.example to the repository root.

Step 5: Install dependencies

bash
cd scripts/fleet && bun install

Step 6: Print next steps for the user

Tell the user they need to:

  1. Add JULES_API_KEY as a GitHub repository secret (Settings → Secrets → Actions)
  2. GITHUB_TOKEN is provided automatically by GitHub Actions
  3. Customize the cron schedule in .github/workflows/fleet-dispatch.yml (default: daily 6am UTC)
  4. Commit all generated files

Manual Usage

After setup, the user can run the pipeline locally:

bash
cd scripts/fleet

# Fetch open issues
bun fleet-analyze.ts

# Plan tasks (creates a Jules planning session)
JULES_API_KEY=<key> bun fleet-plan.ts

# Dispatch parallel agents
JULES_API_KEY=<key> bun fleet-dispatch.ts

# Merge PRs sequentially
GITHUB_TOKEN=<token> bun fleet-merge.ts

Customization

Prompt Tuning

The analysis prompt in scripts/fleet/prompts/analyze-issues.ts controls how deeply issues are investigated. Users can adjust:

  • Root cause analysis depth
  • Solution implementation detail level
  • Merge conflict avoidance rules
  • File ownership constraints

Issue Filtering

Edit scripts/fleet/github/issues.ts to filter issues by label, milestone, or state.

Resource References

Troubleshooting

  • "Unable to parse git remote URL": Ensure the repo has a valid GitHub remote (git remote get-url origin)
  • Ownership conflict errors: Two tasks claim the same file. Adjust the task JSON or merge them manually.
  • CI timeout during merge: Increase maxWaitMs in fleet-merge.ts (default: 10 minutes)
  • Bun not found: Install Bun: curl -fsSL https://bun.sh/install | bash

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Automate Github Issues AI skill do?

Set up automated GitHub issue triage and resolution using parallel Jules coding agents

Why use Automate Github Issues on TypingMind?

Because you install it once and use it with any model. Automate Github Issues is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Automate Github Issues in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/google-labs-code/jules-skills/tree/main/skills/automate-github-issues. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Automate Github Issues?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Automate Github Issues?

As many as you like. As long as a model supports skills, you can use Automate Github Issues with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Automate Github Issues AI skill free?

Yes. It is published on GitHub by google-labs-code under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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