ge 0.1.2

Github Expert - Agentic tools for github

ge — GitHub Engineering for AI Agents

Tools and skills that let AI coding agents work on GitHub issues, PRs, and discussions intelligently.

pip install ge
ge install-skills   # register skills with Claude Code

Now, from any project, tell your AI agent "work on issue #42" — it will prepare full context, check freshness, download media, and proceed with informed decisions.

Install skills for Claude Code

ge ships Claude Code skills that teach the agent how to work on GitHub issues. After installing the package, register the skills globally:

ge install-skills

This creates symlinks in ~/.claude/skills/ pointing to the skills bundled with ge. From then on, when you ask Claude Code to work on a GitHub issue in any project, it will automatically:

1. Verify the issue belongs to the current project
2. Fetch the full issue context (body, comments, media, cross-references)
3. Analyze freshness — is it stale? already fixed? has related merged PRs?
4. Ask you before working on ambiguous or likely-resolved issues
5. Request you paste images when visual context matters

Three skills are installed:

Skill	Purpose
ge	Full workflow — verify, prepare, analyze, work
ge-analyze	Quick triage — check if an issue is worth working on
ge-context	Context preparation — fetch and assemble structured documents

To remove the skills: ge uninstall-skills

What it does

ge fetches an issue or PR and assembles everything an agent needs:

• Issue/PR body and all comments — with media URLs rewritten to local paths
• Images downloaded — screenshots, mockups, error captures
• Video frames extracted — via ffmpeg scene detection, capturing actual visual changes
• Freshness analysis — is this issue stale? already fixed? has related merged PRs?
• Cross-references — commits and PRs that mention this issue
• Code file checks — do the files mentioned in the issue still exist?

All via gh CLI, so private repos just work.

Quick start

# Install
pip install ge

# Prepare context for an issue
ge prepare owner/repo 42

# Or from a URL
ge prepare https://github.com/owner/repo/pull/7

# Just check freshness (no download)
ge analyze-issue owner/repo 42

Requirements

• gh CLI — installed and authenticated (gh auth login)
• ffmpeg — optional, for video frame extraction
• Python 3.10+

Commands

ge prepare <repo> <N>              Full context (auto-detects issue/PR/discussion)
ge prepare-discussion <repo> <N>   Full context for a GitHub Discussion
ge analyze-issue <repo> <N>        Freshness analysis (JSON, no download)
ge analyze-pr <repo> <N>           PR review analysis with CI status (JSON)
ge fetch-issue <repo> <N>          Raw issue JSON
ge fetch-pr <repo> <N>             Raw PR JSON
ge fetch-discussion <repo> <N>     GitHub Discussion JSON
ge media <file.md>                 Download media from markdown
ge video-frames <video>            Extract frames (scene detection by default)
ge install-skills                  Register skills with Claude Code (~/.claude/skills/)
ge uninstall-skills                Remove ge skill symlinks

Project structure

ge/
├── __init__.py      # Facade: prepare(), install_skills(), etc.
├── __main__.py      # CLI via argh (SSOT: _cli_commands list)
├── github.py        # GitHub API via `gh` CLI subprocess
├── media.py         # Image download + video frame extraction (ffmpeg)
├── analysis.py      # Staleness/freshness/relevance analysis
├── context.py       # Assembles everything into context docs
├── util.py          # Internal helpers: gh wrapper, URL parsing, media extraction
└── data/skills/     # Claude Code skills (symlinked by install-skills)
    ├── ge/          # Full workflow skill
    ├── ge-analyze/  # Triage/staleness skill
    └── ge-context/  # Context preparation skill

Python API

import ge

ctx = ge.prepare_issue('owner/repo', 42)
ctx = ge.prepare_pr('owner/repo', 7)
ctx = ge.prepare_discussion('owner/repo', 5)

# Or from any GitHub URL (auto-detects type)
ctx = ge.prepare('https://github.com/owner/repo/issues/42')
ctx = ge.prepare('https://github.com/owner/repo/discussions/5')

# Just analysis
analysis = ge.analyze_issue('owner/repo', 42)