Github Workflow logo

Github Workflow

Organization
transilienceai
github-workflow

GitHub workflow automation — branching, committing, pushing, pull requests, issues, and code review. Use when asked to commit, push, create PRs/branches/issues, or manage git workflow.

Overview

Publishertransilienceai
Repositorycommunitytools
Skill namegithub-workflow
Stars
565
Forks
81
Bundled files
3
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.

  • 3 bundled files

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

  • Open source

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

Installation

Install the Github Workflow 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/transilienceai/communitytools/tree/main/skills/github-workflow
  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/transilienceai/communitytools.git /tmp/communitytools
mkdir -p .claude/skills
cp -r /tmp/communitytools/skills/github-workflow .claude/skills/github-workflow
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Github Workflow 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 Github Workflow 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 Github Workflow 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.

GitHub Workflow

Automate the full GitHub development lifecycle: branches, commits, pushes, PRs, issues, and code review.

Quick Start

  1. User requests a git action (commit, PR, branch, push, issue)
  2. Check repo state: git status, git branch, git log --oneline -5
  3. Execute the appropriate workflow below
  4. Confirm result to user

Workflows

1. Branching

bash
# Create feature branch from main
git checkout main && git pull origin main
git checkout -b <type>/<name>
# Types: feature/, bugfix/, docs/, refactor/, test/, chore/
  • Always branch from up-to-date main
  • Use conventional naming: feature/add-jwt-testing, bugfix/fix-port-detection

2. Committing

bash
# Stage specific files (never git add -A blindly)
git add <file1> <file2>
# Commit with conventional format
git commit -m "type(scope): description"
  • Types: feat, fix, docs, refactor, test, chore
  • Message focuses on why, not what
  • Never commit .env, credentials, or secrets
  • See reference/commit-conventions.md

3. Pushing

bash
# First push (set upstream)
git push -u origin <branch-name>
# Subsequent pushes
git push
  • Never force-push to main/master without explicit user approval
  • If push is rejected, git pull --rebase first

4. Pull Requests

bash
# Create PR linking to issue
gh pr create --title "Short title < 70 chars" --body "$(cat <<'EOF'
## Summary
- What changed and why

## Test plan
- [ ] How to verify

Fixes #<issue-number>
EOF
)"

5. Issues

bash
gh issue create --title "type: description" --body "$(cat <<'EOF'
## Problem
What needs to change

## Proposed solution
How to fix it

## Acceptance criteria
- [ ] Criteria 1
EOF
)"

6. Code Review

bash
# Review a PR
gh pr view <number>
gh pr diff <number>
gh pr checks <number>
# Comment or approve
gh pr review <number> --approve
gh pr review <number> --comment --body "feedback"

Reference

Critical Rules

  • NEVER force-push to main/master without explicit user approval
  • NEVER commit secrets, .env files, or credentials
  • NEVER use git add -A without reviewing what's staged
  • NEVER skip pre-commit hooks (--no-verify) unless user explicitly asks
  • NEVER amend published commits — create new commits instead
  • ALWAYS use conventional commit format: type(scope): description
  • ALWAYS link PRs to issues
  • ALWAYS check git status before committing
  • ALWAYS pull before pushing to avoid conflicts
  • ALWAYS create branches from up-to-date main

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 Github Workflow AI skill do?

GitHub workflow automation — branching, committing, pushing, pull requests, issues, and code review. Use when asked to commit, push, create PRs/branches/issues, or manage git workflow.

Why use Github Workflow on TypingMind?

Because you install it once and use it with any model. Github Workflow 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 Github Workflow in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/transilienceai/communitytools/tree/main/skills/github-workflow. 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 Github Workflow?

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 Github Workflow?

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

Is the Github Workflow AI skill free?

Yes. It is published on GitHub by transilienceai 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇