Refactor high-complexity React components in Dify frontend. Use when `pnpm analyze-component...
npx skills add InfantLab/god-mode-skill
Or install specific skill: npx add-skill https://github.com/InfantLab/god-mode-skill
# Description
Developer oversight and AI agent coaching. Use when viewing project status across repos, syncing GitHub data, or analyzing agents.md against commit patterns.
# SKILL.md
name: god-mode
description: Developer oversight and AI agent coaching. Use when viewing project status across repos, syncing GitHub data, or analyzing agents.md against commit patterns.
metadata: {"openclaw": {"requires": {"bins": ["gh", "sqlite3", "jq"]}}}
user-invocable: true
god-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]
Show overview of all projects, or details for one:
god status # All projects
god status myproject # One project in detail
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
Manage configured projects:
god projects # List all
god projects add github:user/repo # Add project
god projects remove myproject # Remove 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)
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/:
- cache.db - SQLite database (commits, PRs, issues, analyses)
- contexts/ - Saved workspace contexts (v0.2)
Authentication
god-mode uses your existing CLI authentication:
| Provider | CLI | Setup |
|---|---|---|
| GitHub | gh |
gh auth login |
| Azure | az |
az login |
| GitLab | glab |
glab auth login |
No tokens stored by god-mode. We delegate to CLIs you already trust.
Requirements
gh- GitHub CLI (for GitHub repos)sqlite3- Databasejq- JSON processing
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
# README.md
god-mode
🔭 Bird's-eye view of your coding projects. 🧠 AI agent coaching based on your actual work.
What is this?
god-mode is an OpenClaw skill that gives you:
- Project Overview - See all your repos at a glance (commits, PRs, issues)
- Agent Coaching - Automatically improve your
agents.mdbased on commit patterns
The Problem
You're juggling multiple projects. You use AI coding assistants but your agents.md instructions are generic or outdated. You lose context when switching between repos.
The Solution
# See everything at once
$ god status
🔭 god-mode
tandem-evaluator
Last: 2h ago • fix: evaluation metrics
PRs: 2 open (1 needs review) • Issues: 5
tada
Last: 1d ago • feat: API endpoints
PRs: 0 • Issues: 3
This week: 23 commits • 3 PRs merged
# Make your AI assistant smarter
$ god agents analyze tandem-evaluator
🧠 Analyzing tandem-evaluator...
⚠️ GAPS FOUND
Testing (not mentioned)
But 31% of your commits touch tests
→ Add: "Write tests for new code"
📝 SUGGESTED ADDITIONS
## Testing
- Unit tests for all new functions
- Run `npm test` before commits
Installation
Prerequisites
gh- GitHub CLI (authenticated)sqlite3- Usually pre-installedjq-brew install jqorapt install jq
Install
# Clone
git clone https://github.com/InfantLab/god-mode-skill
cd god-mode-skill
# Add to PATH
echo 'export PATH="$PATH:'$(pwd)'/scripts"' >> ~/.bashrc
source ~/.bashrc
# Setup
god setup
Or for OpenClaw:
openclaw skills add god-mode
Quick Start
# 1. Add your first project
god projects add github:yourname/yourrepo
# 2. Sync data
god sync
# 3. See the overview
god status
# 4. Analyze your agents.md
god agents analyze yourrepo
Commands
| Command | Description |
|---|---|
god status |
Overview of all projects |
god status <project> |
Details for one project |
god sync |
Fetch latest data from repos |
god sync --force |
Full refresh (ignore cache) |
god projects |
List configured projects |
god projects add <uri> |
Add a project |
god agents analyze <project> |
Improve your agents.md |
Configuration
~/.config/god-mode/config.yaml:
projects:
- id: github:myuser/myrepo
name: My Project
priority: high
tags: [work, api]
local: ~/code/myrepo
sync:
initialDays: 90
commitsCacheMinutes: 60
See config.example.yaml for all options.
How Agent Analysis Works
- Reads your
agents.md(or similar file) - Analyzes your commit history (types, patterns, pain points)
- Finds gaps between instructions and actual work
- Suggests improvements based on your patterns
Example insights:
- "You write lots of tests but don't mention testing in agents.md"
- "40% of commits are error-handling fixes - add error handling guidance"
- "Your 'use TypeScript strict' instruction is working - 0 type errors"
Data & Privacy
- All data stored locally in
~/.god-mode/ - No tokens stored - uses your existing
ghauth - No telemetry - nothing phones home
- Open source - audit the code yourself
Roadmap
v0.1.0 (Current)
- [x] Project status overview
- [x] GitHub integration via
ghCLI - [x] Incremental sync with SQLite cache
- [x] Agent instruction analysis
v0.2.0
- [ ] Context save/restore
- [ ] Activity summaries (
god today,god week) - [ ]
god agents generatefor new projects
v0.3.0
- [ ] Azure DevOps support
- [ ] GitLab support
- [ ] Proactive alerts via OpenClaw heartbeat
v1.0.0
- [ ] Cross-project intelligence
- [ ] Integration ecosystem (Obsidian, etc.)
Contributing
Contributions welcome! Each command is a standalone script - easy to add features.
# Structure
scripts/
├── god # Entry point
├── commands/
│ ├── status.sh # god status
│ ├── sync.sh # god sync
│ ├── projects.sh # god projects
│ └── agents.sh # god agents
└── lib/
├── providers/ # GitHub, Azure, GitLab
└── analysis/ # Commit patterns, agent analysis
See HANDOVER.md for architecture details.
License
MIT - see LICENSE
Credits
Created by InfantLab for the OpenClaw community.
"Know what's happening. Make your AI smarter."
# Supported AI Coding Agents
This skill is compatible with the SKILL.md standard and works with all major AI coding agents:
Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.