god-mode Skill

Conversational project oversight and AI agent coaching for OpenClaw.

Overview

god-mode lets users ask about their projects in plain English. You run the commands and explain the results conversationally.

What users can ask:

• - "Set up god-mode for my repos"
• "What's happening across my projects?"
• "Which repos need attention?"
• "Analyze my agents.md"
• "What should I work on today?"

What you provide:

• - Multi-project status summaries (GitHub + Azure DevOps)
• Plain-English explanations of commit activity, PRs, issues
• LLM-powered agent instruction analysis
• Recommendations for improving their AGENTS.md

Perfect for:

• - Developers juggling multiple repos who want conversational oversight
• Teams using AI coding assistants (Claude, Copilot, etc.)
• Anyone who wants data-driven improvements to their AGENTS.md

Getting Started

For OpenClaw Users (Conversational)

Just tell me what you want! I'll run the god-mode commands for you.

Example conversations:

You: "Set up god-mode for my tada repository"
Me: Sure! I'll set up god-mode and add your tada repo.
[runs god setup and god projects add github:YourUsername/tada]
Done! Your repo is configured. Want me to sync the data?

You: "Yes, and show me what's happening"
Me: [runs god sync and god status]

Here's your overview:

• - tada: 30 commits this week, last activity 3 days ago
• 0 open PRs, 0 issues

Your most active project! Commits are all features and bug fixes.

You: "Analyze my agents.md for tada"
Me: [runs god agents analyze github:YourUsername/tada]
I've analyzed your AGENTS.md against 155 commits. Here's what I found:
GAPS:

• - Testing practices (high impact) - 68 bug fixes but no testing guidance
• Voice API debugging - 12 commits mention "voice" but no troubleshooting

STRENGTHS:

• - TypeScript strictness is working - zero type-related fixes

Want me to add testing guidance to your AGENTS.md?

What you can ask me:

• - "Set up god-mode for [repo]"
• "Show me all my projects"
• "What's happening across my repos?"
• "Analyze my agents.md"
• "Which repos need attention?"
• "What should I work on today?"

I'll handle all the commands and explain the results in plain English.

For CLI Users (Direct Commands)

If you prefer running commands yourself:

CODEBLOCK0

Commands

god status [project]

Show overview of all projects, or details for one: CODEBLOCK1

god sync [project] [--force]

Fetch/update data from repositories: CODEBLOCK2

god projects

Manage configured projects: CODEBLOCK3

god review [--month YYYY-MM]

Generate monthly activity reviews: CODEBLOCK4

What it shows:

• - Total commits across all projects
• Most active repositories
• Pull request activity (merged, active, closed)
• Detailed breakdown by project with date ranges
• Perfect for monthly retrospectives and planning

Example output:
CODEBLOCK5

Use cases:

• - Monthly team stand-ups
• Personal retrospectives ("What did I actually work on?")
• Quarterly planning ("Which projects got attention?")
• Automated monthly summaries via cron

god agents analyze <project>

Analyze agents.md against commit history using LLM: CODEBLOCK6

What it does:

1. 1. Fetches your AGENTS.md from the repository
2. Analyzes commit patterns (types, pain points, frequently changed files)
3. Calls an LLM (Claude/GPT) to find gaps and suggest improvements
4. Displays recommendations interactively
5. Optionally applies changes to your AGENTS.md

LLM Configuration:

god-mode automatically detects and uses the best available LLM:

1. 1. OpenClaw (default when running as skill) - Uses your OpenClaw agent
2. Anthropic - Set INLINECODE10
3. OpenAI - Set INLINECODE11
4. OpenRouter - Set INLINECODE12
5. Manual - Outputs prompt if no LLM available

When running in OpenClaw:

• - The analysis prompt is displayed to your OpenClaw agent
• You (or your agent) provides the JSON analysis directly in the conversation
• Much simpler than managing separate API keys!

OpenClaw Workflow:

When you run god agents analyze in OpenClaw:

1. 1. Analysis starts:

CODEBLOCK7

1. 2. I (OpenClaw agent) receive the analysis prompt showing:

- Your complete AGENTS.md content - Commit pattern summary (45 features, 68 bug fixes, etc.) - Most changed files/directories - Pain points and commit samples

1. 3. I analyze and provide JSON response:

CODEBLOCK8

1. 4. god-mode displays results and offers to apply changes to your AGENTS.md

1. 5. You choose which recommendations to accept, and god-mode updates the file

Standalone Workflow (outside OpenClaw):

If you set ANTHROPIC_API_KEY or OPENAI_API_KEY, god-mode calls the API directly:
CODEBLOCK9

god agents generate <project> (Coming Soon)

Bootstrap agents.md for a new project by analyzing repo structure.

god logs [options]

View activity logs: CODEBLOCK10

All god-mode activity is logged to ~/.god-mode/logs/activity.log with timestamps for transparency and debugging.

Configuration

Config file: INLINECODE19

CODEBLOCK11

Data Storage

All data stored locally in ~/.god-mode/:

• - cache.db - SQLite database (commits, PRs, issues, analyses)
• INLINECODE22 - Saved workspace contexts (v0.2)

Authentication

god-mode uses your existing CLI authentication:

Provider	CLI	Setup
GitHub	INLINECODE23	INLINECODE24
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)
• INLINECODE30 - Database
• INLINECODE31 - JSON processing

Examples

Morning Check-In

CODEBLOCK12

Before Switching Projects

CODEBLOCK13

Improving Your AI Assistant

CODEBLOCK14

Weekly Review

CODEBLOCK15

Agent Guide (For OpenClaw Agents)

When the user asks about their projects, here's what to do:

"Set up god-mode" / "Track my [repo]"

1. 1. Run god setup (checks dependencies)
2. Run INLINECODE33
3. Run god sync to fetch data
4. Summarize what you found

"Show me my projects" / "What's happening?"

1. 1. Run INLINECODE35
2. Translate output to conversational summary:

- "Your most active repo is X with Y commits this week" - "Z repo hasn't had activity in N days" - "You have M open PRs across all projects"

"Analyze my agents.md"

1. 1. Run INLINECODE36
2. You'll receive the analysis prompt with:

- Their complete AGENTS.md - Commit pattern analysis (155 commits, 68 bug fixes, etc.) - Pain points and frequently changed files

1. 3. Provide JSON analysis in this format:

   {
     "gaps": [
       {"area": "Testing", "observation": "68 bug fixes but no test guidance", "impact": "high", "suggestion": "Add testing section"}
     ],
     "strengths": [
       {"area": "TypeScript", "observation": "Zero type errors in 155 commits"}
     ],
     "recommendations": [
       {"priority": 1, "section": "## Testing", "content": "- Write unit tests for new code\n- Run tests before commits"}
     ],
     "summary": "Strong TypeScript practices, needs testing guidance"
   }
   

1. 4. Summarize the analysis conversationally
2. Offer to apply recommendations

"Which repos need attention?"

1. 1. Run INLINECODE37
2. Look for:

- Stale PRs (>3 days old) - No activity in >5 days - Open issues piling up

1. 3. Suggest what to focus on

Automated Workflows

Daily Briefing (Heartbeat):
CODEBLOCK17

Monthly Review (Cron - 1st of month):
CODEBLOCK18

Weekly Analysis (Cron):
CODEBLOCK19

Common Questions

How do I use god-mode?

In OpenClaw: Just ask me! "Show me my projects", "Analyze my agents.md", etc. I'll run the commands and explain the results.

CLI: Run commands directly: god status, god sync, INLINECODE40

Do I need to set up anything first?

First time: Tell me to "set up god-mode for [your repo]" and I'll handle it. Or run god setup and god projects add github:your/repo yourself.

Authentication: Make sure gh auth login is done (GitHub CLI authentication).

Do I need an API key?

No! When you ask me to analyze your agents.md, I receive the analysis prompt and provide the JSON response directly. No separate API key needed.

Standalone: If using god-mode outside OpenClaw, you can set ANTHROPIC_API_KEY or OPENAI_API_KEY for automated analysis.

How often does it sync data?

When you ask: I run god sync when you ask about your projects. First sync fetches 90 days of history. Subsequent syncs are incremental (only new data).

Manual: You can run god sync anytime, or god sync --force for a full refresh.

What data gets stored?

Locally only: Commits, PRs, issues, and analysis results in ~/.god-mode/cache.db. Activity logs in ~/.god-mode/logs/activity.log. Nothing sent to external servers (except when calling LLM APIs if configured).

Does it work with private repos?

Yes! Uses your gh CLI authentication, so it has access to whatever your GitHub account can access.

Troubleshooting

"gh: command not found"

Install GitHub CLI: https://cli.github.com/

"Not logged in to GitHub"

Run: INLINECODE52

"No projects configured"

Add a project: INLINECODE53

Stale data

Force refresh: INLINECODE54

Agent analysis returns empty {}

This is normal in OpenClaw mode - the prompt is displayed for the OpenClaw agent to analyze. The agent provides the JSON response in conversation, not as return value.

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OpenClaw Community Skill License: MIT Repository: https://github.com/InfantLab/god-mode-skill