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Create Issue

Community
tobihagemann
create-issue

Create a GitHub issue with a drafted title and body. Use when the user asks to "create an issue", "file an issue", "open an issue", "submit an issue", "report a bug", "file a bug report", "file a feature request", or "file a design proposal".

Overview

Publishertobihagemann
Repositoryturbo
Skill namecreate-issue
Stars
417
Forks
32
Bundled files
Instructions only
LicenseMIT
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by tobihagemann on GitHub. Read the source before you install it.

Installation

Install the Create Issue 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/tobihagemann/turbo/tree/main/claude/skills/create-issue
  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/tobihagemann/turbo.git /tmp/turbo
mkdir -p .claude/skills
cp -r /tmp/turbo/claude/skills/create-issue .claude/skills/create-issue
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Create Issue 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 Create Issue 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 Create Issue 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.

Create Issue

Draft a focused title and body for a GitHub issue, then file it. Bug reports state reproduction steps and observed versus expected behavior.

Step 1: Gather Context

Determine what the issue is about from the conversation. When the subject is ambiguous, use AskUserQuestion to settle it before drafting.

List the repo's issue templates, read its labels, and search for an existing issue covering the same thing:

bash
ls .github/ISSUE_TEMPLATE/ 2>/dev/null
gh label list --limit 100
gh issue list --search "<keywords>" --state all

When the issue goes to a repository other than the checkout, replace the ls with gh api repos/<owner>/<repo>/contents/.github/ISSUE_TEMPLATE, read the files it lists through the same API, and pass --repo <owner>/<repo> to the label list and the duplicate search.

When the target repository, the checkout included, has no .github/ISSUE_TEMPLATE folder of its own, list its owner's .github repository with gh api repos/<owner>/.github/contents/.github/ISSUE_TEMPLATE, whose files GitHub applies to a repository without that folder.

Treat an empty listing or a 404 as normal. When templates exist, read the one matching the kind of issue, and read .github/ISSUE_TEMPLATE/config.yml when present. Follow the template's structure and required sections, and apply the labels and title prefix the template declares. For a YAML issue form, render each field's attributes.label as a ### heading with the answer beneath, matching what the web form produces. When config.yml sets blank_issues_enabled: false, choose a template rather than filing a blank issue.

When the search surfaces a plausible duplicate, present it and use AskUserQuestion to confirm whether to file anyway.

Step 2: Run /github-voice Skill

Run the /github-voice skill to load writing style rules.

Step 3: Draft Title and Body

Draft the title and body. Output them as chat text so the user can review before anything is filed.

Step 4: Confirm and Create

Use AskUserQuestion for confirmation only. Generate a random tag so the body file is unique across sessions:

bash
head -c 4 /dev/urandom | xxd -p

Write the drafted body to .turbo/issue/<tag>-body.md (using the printed tag) with the Write tool, then create the issue with gh issue create --body-file:

bash
gh issue create --title "<TITLE>" --body-file .turbo/issue/<tag>-body.md --label "<LABEL>,<LABEL>"

Add --repo <owner>/<repo> when the issue goes to a repository other than the checkout. Repeat --label when the template sets several. Drop --label when no existing label fits. Set the issue type with --type <name> when a type is asked for or the template declares one; an issue type is a separate feature from a label, so applying a label of the same name leaves the request unmet. Do not set --assignee or --milestone unless the user explicitly asks.

Then use the TaskList tool and proceed to any remaining task.

Rules

  • Don't reference .turbo/ content (filenames, acceptance criteria, step numbers, headings) in the title or body. .turbo/ is gitignored, so these references would be opaque to anyone reading without local copies.
  • Create labels only when the user asks.

Frequently asked questions

What does the Create Issue AI skill do?

Create a GitHub issue with a drafted title and body. Use when the user asks to "create an issue", "file an issue", "open an issue", "submit an issue", "report a bug", "file a bug report", "file a feature request", or "file a design proposal".

Why use Create Issue on TypingMind?

Because you install it once and use it with any model. Create Issue 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 Create Issue in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tobihagemann/turbo/tree/main/claude/skills/create-issue. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Create Issue?

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 Create Issue?

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

Is the Create Issue AI skill free?

Yes. It is published on GitHub by tobihagemann under the MIT 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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