godmode

Orchestrate THINK, PLAN, BUILD, OPTIMIZE, and SHIP loops across 126 skills.

26|8|Updated Mar 19, 2026
One-click install
npx skills add https://github.com/arbazkhan971/godmode --skill godmode
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: godmode
Source: https://github.com/arbazkhan971/godmode/tree/main
Command: npx skills add https://github.com/arbazkhan971/godmode --skill godmode

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Godmode provides a disciplined, autonomous orchestration layer that coordinates design, implementation, testing, optimization, security, and deployment into repeatable, measurable iterations, reducing guesswork and accelerating delivery.

Core Features & Use Cases

  • Central orchestration of THINK, PLAN, BUILD, OPTIMIZE, and SHIP loops across 126 skills and 7 subagents.
  • Automatic measurement, git-based memory, automatic rollback, and cross-platform compatibility to ensure safe autonomous execution.
  • Use case: a team can accelerate feature delivery by running end-to-end cycles across multiple domains without manual handoffs.

Quick Start

Start with a clean repo and run the orchestrator with a natural-language prompt to trigger adaptive workflows.

Frequently Asked Questions about godmode

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate the software development workflow end-to-end with AI coding agents?

Autonomous coding workflow orchestration coordinates THINK, PLAN, BUILD, OPTIMIZE, and SHIP loops across 126 skills and 7 subagents, automating end-to-end software development cycles without manual handoffs.

How does autonomous coding rollback work when AI commits cause test regressions?

Autonomous coding rollback verifies improvements via mechanical metrics and commits only on success, automatically reverting git history when results regress to ensure a health-preserving commit history.

Does autonomous AI coding orchestration work with Claude Code, Cursor, and Codex?

Autonomous AI coding orchestration operates across Claude Code, Cursor, Codex, Gemini CLI, and OpenCode platforms, gracefully degrading parallel agent execution to sequential when platform limits exist.

What is the best way to coordinate multiple AI subagents for software delivery?

Central orchestration coordinates 7 subagents across design, implementation, testing, optimization, security, and deployment into repeatable, measurable iterations to accelerate feature delivery.

Do I need a clean git repository to start an autonomous AI coding workflow?

Yes, autonomous AI coding workflows require starting with a clean repository and running the orchestrator with a natural-language prompt to trigger adaptive end-to-end development loops.

Why should I use an autonomous orchestrator instead of manually running individual AI coding tasks?

An autonomous orchestrator reduces guesswork by coordinating design, implementation, testing, optimization, security, and deployment into repeatable iterations with automatic measurement and git-based memory.