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Github

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TokenRhythm
github

GitHub operations via `gh` CLI: issues, PRs, CI runs, code review, API queries. Use when: (1) checking PR status or CI, (2) creating/commenting on issues, (3) listing/filtering PRs or issues, (4) viewing run logs. NOT for: complex web UI interactions requiring manual browser flows (use browser tooling when available), bulk operations across many repos (script with gh api), or when gh auth is not configured.

Overview

PublisherTokenRhythm
Repositoryopensquilla
Skill namegithub
Stars
7K
Forks
566
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 TokenRhythm on GitHub. Read the source before you install it.

Installation

Install the Github 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.
  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/TokenRhythm/opensquilla.git /tmp/opensquilla
mkdir -p .claude/skills
cp -r /tmp/opensquilla/src/opensquilla/skills/bundled/github .claude/skills/github
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Github 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 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 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 Skill

Use the gh CLI to interact with GitHub repositories, issues, PRs, and CI.

Setup

bash
# Authenticate (one-time)
gh auth login

# Verify
gh auth status

Common Commands

Pull Requests

bash
# List PRs
gh pr list --repo owner/repo

# Check CI status
gh pr checks 55 --repo owner/repo

# View PR details
gh pr view 55 --repo owner/repo

# Create PR
gh pr create --title "feat: add feature" --body "Description"

# Merge PR
gh pr merge 55 --squash --repo owner/repo

Issues

bash
# List issues
gh issue list --repo owner/repo --state open

# Create issue
gh issue create --title "Bug: something broken" --body "Details..."

# Close issue
gh issue close 42 --repo owner/repo

CI/Workflow Runs

bash
# List recent runs
gh run list --repo owner/repo --limit 10

# View specific run
gh run view <run-id> --repo owner/repo

# View failed step logs only
gh run view <run-id> --repo owner/repo --log-failed

# Re-run failed jobs
gh run rerun <run-id> --failed --repo owner/repo

API Queries

bash
# Get PR with specific fields
gh api repos/owner/repo/pulls/55 --jq '.title, .state, .user.login'

# List all labels
gh api repos/owner/repo/labels --jq '.[].name'

# Get repo stats
gh api repos/owner/repo --jq '{stars: .stargazers_count, forks: .forks_count}'

JSON Output

Most commands support --json for structured output with --jq filtering:

bash
gh issue list --repo owner/repo --json number,title --jq '.[] | "\(.number): \(.title)"'
gh pr list --json number,title,state,mergeable --jq '.[] | select(.mergeable == "MERGEABLE")'

Templates

PR Review Summary

bash
# Get PR overview for review
PR=55 REPO=owner/repo
echo "## PR #$PR Summary"
gh pr view $PR --repo $REPO --json title,body,author,additions,deletions,changedFiles \
  --jq '"**\(.title)** by @\(.author.login)\n\n\(.body)\n\n📊 +\(.additions) -\(.deletions) across \(.changedFiles) files"'
gh pr checks $PR --repo $REPO

Issue Triage

bash
# Quick issue triage view
gh issue list --repo owner/repo --state open --json number,title,labels,createdAt \
  --jq '.[] | "[\(.number)] \(.title) - \([.labels[].name] | join(", ")) (\(.createdAt[:10]))"'

Notes

  • Always specify --repo owner/repo when not in a git directory
  • Use URLs directly: gh pr view https://github.com/owner/repo/pull/55
  • Rate limits apply; use gh api --cache 1h for repeated queries

Frequently asked questions

What does the Github AI skill do?

GitHub operations via `gh` CLI: issues, PRs, CI runs, code review, API queries. Use when: (1) checking PR status or CI, (2) creating/commenting on issues, (3) listing/filtering PRs or issues, (4) viewing run logs. NOT for: complex web UI interactions requiring manual browser flows (use browser tooling when available), bulk operations across many repos (script with gh api), or when gh auth is not configured.

Why use Github on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TokenRhythm/opensquilla/tree/main/src/opensquilla/skills/bundled/github. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Github?

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?

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

Is the Github AI skill free?

Yes. It is published on GitHub by TokenRhythm 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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