Awesome-omni-skill god-mode
Developer oversight and AI agent coaching. Use when viewing project status across repos, syncing GitHub data, or analyzing agents.md against commit patterns.
git clone https://github.com/diegosouzapw/awesome-omni-skill
T=$(mktemp -d) && git clone --depth=1 https://github.com/diegosouzapw/awesome-omni-skill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data-ai/god-mode-decimasudo" ~/.claude/skills/diegosouzapw-awesome-omni-skill-god-mode-e27aa8 && rm -rf "$T"
skills/data-ai/god-mode-decimasudo/SKILL.mdgod-mode Skill
Developer oversight and AI agent coaching for OpenClaw.
Overview
god-mode gives you a bird's-eye view of all your coding projects and coaches you to write better AI agent instructions.
Key features:
- Multi-project status dashboard
- Incremental sync from GitHub (Azure/GitLab coming)
- Agent instruction analysis based on commit patterns
- Local SQLite cache for fast queries
Quick Start
# First-run setup god setup # Add a project god projects add github:myuser/myrepo # Sync data god sync # See overview god status # Analyze your agents.md god agents analyze myrepo
Commands
god status [project]
god status [project]Show overview of all projects, or details for one:
god status # All projects god status myproject # One project in detail
god sync [project] [--force]
god sync [project] [--force]Fetch/update data from repositories:
god sync # Incremental sync all god sync myproject # Just one project god sync --force # Full refresh (ignore cache)
god projects
god projectsManage configured projects:
god projects # List all god projects add github:user/repo # Add project god projects remove myproject # Remove project
god agents analyze <project>
god agents analyze <project>Analyze agents.md against commit history:
god agents analyze myproject
Finds gaps between your agent instructions and actual work patterns, suggests improvements.
god agents generate <project>
(Coming Soon)
god agents generate <project>Bootstrap agents.md for a new project by analyzing repo structure.
Configuration
Config file:
~/.config/god-mode/config.yaml
projects: - id: github:user/repo name: My Project # Display name priority: high # high/medium/low tags: [work, api] local: ~/code/myrepo # Local clone path sync: initialDays: 90 # First sync lookback commitsCacheMinutes: 60 analysis: agentFiles: # Files to search for - agents.md - AGENTS.md - CLAUDE.md - .github/copilot-instructions.md
Data Storage
All data stored locally in
~/.god-mode/:
- SQLite database (commits, PRs, issues, analyses)cache.db
- Saved workspace contexts (v0.2)contexts/
Authentication
god-mode uses your existing CLI authentication:
| Provider | CLI | Setup |
|---|---|---|
| GitHub | | |
| Azure | | |
| GitLab | | |
No tokens stored by god-mode. We delegate to CLIs you already trust.
Requirements
- GitHub CLI (for GitHub repos)gh
- Databasesqlite3
- JSON processingjq
Examples
Morning Check-In
god status # See all projects at a glance # Notice any stale PRs or quiet projects
Before Switching Projects
god status myproject # See recent activity, open PRs, issues # Remember where you left off
Improving Your AI Assistant
god agents analyze myproject # Get suggestions based on your actual commit patterns # Apply recommendations to your agents.md
Weekly Review
god status # Review activity across all projects # Identify projects needing attention
Agent Workflows
Daily Briefing (Heartbeat)
# HEARTBEAT.md - Run `god status` and summarize: - Projects with stale PRs (>3 days) - Projects with no activity (>5 days) - Open PRs needing review
Agent Analysis (Cron)
# Weekly agent instruction review schedule: "0 9 * * 1" # Monday 9am task: | Run `god agents analyze` on high-priority projects. If gaps found, notify with suggestions.
Troubleshooting
"gh: command not found"
Install GitHub CLI: https://cli.github.com/
"Not logged in to GitHub"
Run:
gh auth login
"No projects configured"
Add a project:
god projects add github:user/repo
Stale data
Force refresh:
god sync --force
OpenClaw Community Skill
License: MIT
Repository: https://github.com/InfantLab/god-mode-skill