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Speckit Git Remote

Community
automateyournetwork
speckit-git-remote

Detect Git remote URL for GitHub integration

Overview

Publisherautomateyournetwork
Repositorynetclaw
Skill namespeckit-git-remote
Stars
680
Forks
189
Bundled files
Instructions only
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.

  • Self-contained

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

  • Open source

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

Installation

Install the Speckit Git Remote 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/automateyournetwork/netclaw/tree/main/.agents/skills/speckit-git-remote
  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/automateyournetwork/netclaw.git /tmp/netclaw
mkdir -p .claude/skills
cp -r /tmp/netclaw/.agents/skills/speckit-git-remote .claude/skills/speckit-git-remote
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Speckit Git Remote 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 Speckit Git Remote 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 Speckit Git Remote 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.

Detect Git Remote URL

Detect the Git remote URL for integration with GitHub services (e.g., issue creation).

Prerequisites

  • Check if Git is available by running git rev-parse --is-inside-work-tree 2>/dev/null
  • If Git is not available, output a warning and return empty:
    [specify] Warning: Git repository not detected; cannot determine remote URL

Execution

Run the following command to get the remote URL:

bash
git config --get remote.origin.url

Output

Parse the remote URL and determine:

  1. Repository owner: Extract from the URL (e.g., github from https://github.com/github/spec-kit.git)
  2. Repository name: Extract from the URL (e.g., spec-kit from https://github.com/github/spec-kit.git)
  3. Is GitHub: Whether the remote points to a GitHub repository

Supported URL formats:

  • HTTPS: https://github.com/<owner>/<repo>.git
  • SSH: git@github.com:<owner>/<repo>.git

[!CAUTION] ONLY report a GitHub repository if the remote URL actually points to github.com. Do NOT assume the remote is GitHub if the URL format doesn't match.

Graceful Degradation

If Git is not installed, the directory is not a Git repository, or no remote is configured:

  • Return an empty result
  • Do NOT error — other workflows should continue without Git remote information

Frequently asked questions

What does the Speckit Git Remote AI skill do?

Detect Git remote URL for GitHub integration

Why use Speckit Git Remote on TypingMind?

Because you install it once and use it with any model. Speckit Git Remote 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 Speckit Git Remote in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/automateyournetwork/netclaw/tree/main/.agents/skills/speckit-git-remote. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Speckit Git Remote?

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 Speckit Git Remote?

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

Is the Speckit Git Remote AI skill free?

Yes. It is published on GitHub by automateyournetwork 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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