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.
What this skill does
# 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
```bash
# 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:
```bash
god status # All projects
god status myproject # One project in detail
```
### `god sync [project] [--force]`
Fetch/update data from repositories:
```bash
god sync # Incremental sync all
god sync myproject # Just one project
god sync --force # Full refresh (ignore cache)
```
### `god projects`
Manage configured projects:
```bash
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:
```bash
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`
```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` - Database
- `jq` - JSON processing
## Examples
### Morning Check-In
```bash
god status
# See all projects at a glance
# Notice any stale PRs or quiet projects
```
### Before Switching Projects
```bash
god status myproject
# See recent activity, open PRs, issues
# Remember where you left off
```
### Improving Your AI Assistant
```bash
god agents analyze myproject
# Get suggestions based on your actual commit patterns
# Apply recommendations to your agents.md
```
### Weekly Review
```bash
god status
# Review activity across all projects
# Identify projects needing attention
```
## Agent Workflows
### Daily Briefing (Heartbeat)
```markdown
# 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)
```yaml
# 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*
Related in AI Agents
skill-development
IncludedComprehensive meta-skill for creating, managing, validating, auditing, and distributing Claude Code skills and slash commands (unified in v2.1.3+). Provides skill templates, creation workflows, validation patterns, audit checklists, naming conventions, YAML frontmatter guidance, progressive disclosure examples, and best practices lookup. Use when creating new skills, validating existing skills, auditing skill quality, understanding skill architecture, needing skill templates, learning about YAML frontmatter requirements, progressive disclosure patterns, tool restrictions (allowed-tools), skill composition, skill naming conventions, troubleshooting skill activation issues, creating custom slash commands, configuring command frontmatter, using command arguments ($ARGUMENTS, $1, $2), bash execution in commands, file references in commands, command namespacing, plugin commands, MCP slash commands, Skill tool configuration, or deciding between skills vs slash commands. Delegates to docs-management skill for official documentation.
reprompter
IncludedTransform messy prompts into well-structured, effective prompts — single or multi-agent. Use when: "reprompt", "reprompt this", "clean up this prompt", "structure my prompt", rough text needing XML tags and best practices, "reprompter teams", "repromptception", "run with quality", "smart run", "smart agents", multi-agent tasks, audits, parallel work, anything going to agent teams. Don't use when: simple Q&A, pure chat, immediate execution-only tasks. See "Don't Use When" section for details. Outputs: Structured XML/Markdown prompt, quality score (before/after), optional team brief + per-agent sub-prompts, agent team output files. Success criteria: Single mode quality score ≥ 7/10; Repromptception per-agent prompt quality score 8+/10; all required sections present, actionable and specific.
adaptive-compaction
IncludedAdaptive add-on policy and recovery layer that decides WHEN to compact, prune, snapshot, or fork -- replacing fixed-percent auto-compaction across Claude Code, Codex, and MCP-capable hosts. Trigger on auto-compact timing or damage: "when should I compact", "is it safe to compact now or start a fresh session", "auto-compact fires too early/mid-task", "switching to an unrelated task but the window still has space", "context rot", "answers get worse the longer the session runs", "the agent forgot the plan or my decisions after it summarized", "add a layer on top that manages context without changing the agent", raising autoCompactWindow to give the policy room, or installing/tuning a cross-tool compaction policy or PreCompact hook -- even when "compaction" is never said but the problem is context-window pressure or post-summarization memory loss. Do NOT use to summarize a conversation, build RAG, write a summarization prompt (decides WHEN not HOW), or answer max-context-length trivia.
agent-skill-creator
IncludedCreate cross-platform agent skills from workflow descriptions. Activates when users ask to create an agent, automate a repetitive workflow, create a custom skill, or need advanced agent creation. Triggers on phrases like create agent for, automate workflow, create skill for, every day I have to, daily I need to, turn process into agent, need to automate, create a cross-platform skill, validate this skill, export this skill, migrate this skill. Supports single skills, multi-agent suites, transcript processing, template-based creation, interactive configuration, cross-platform export, and spec validation.
llm-wiki
IncludedUse when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates entity/concept pages, maintains cross-references, and keeps a synthesis current. Triggers include "second brain", "Obsidian wiki", "personal knowledge management", "ingest this paper/article/book", "build a research wiki", "compound knowledge", "Memex", or whenever the user wants knowledge to accumulate across sessions instead of being re-derived by RAG on every query.
skill-master
IncludedAgent Skills authoring, evaluation, and optimization. Create, edit, validate, benchmark, and improve skills following the agentskills.io specification. Use when designing SKILL.md files, structuring skill folders (references, scripts, assets), ingesting external documentation into skills, running trigger evals, benchmarking skill quality, optimizing descriptions, or performing blind A/B comparisons. Keywords: agentskills.io, SKILL.md, skill authoring, eval, benchmark, trigger optimization.