By NoobyGains
Automatically reviews completed features against plans and coding standards, checking alignment, quality, architecture, and documentation, with environment initialization on session start
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores requirements and design before implementation.
Execute plan in batches with review checkpoints
Activate GodMode — analyzes your task, recommends the best execution approach (Agent Teams, parallel subagents, or single agent), and invokes all relevant skills automatically
Create detailed implementation plan with bite-sized tasks
Use when starting any conversation - establishes how to locate and invoke skills, mandating Skill tool usage before ANY response including clarifying questions
Use when dispatching subagents, composing prompts for teammates, structuring handoff reports, or managing context boundaries between agents. Covers both subagent prompts and team-level messaging.
Use when building ANY feature within an existing project - search the current codebase for existing patterns, conventions, similar implementations, and established approaches before writing new code
Use when about to declare work done, fixed, or passing, before committing or opening PRs - demands executing verification commands and reading their output before making any success assertions; evidence precedes claims always
Use when implementing any substantial feature, multi-file modification, or architectural change - produces a plain-language walkthrough of every alteration so the developer can verify genuine understanding before committing, preventing the accumulation of cognitive debt where code ships faster than comprehension
Uses power tools
Uses Bash, Write, or Edit tools
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No model invocation
Executes directly as bash, bypassing the AI model
No model invocation
Executes directly as bash, bypassing the AI model
An engineering framework for AI coding agents.
Stop hoping your agent writes good code — make it.
claude plugin marketplace add NoobyGains/godmode
claude plugin install godmode
That's it. mention Godmode — GodMode activates automatically.
AI coding agents have a predictable failure mode: you ask for a feature, and they immediately start writing code. No questions about requirements. No check for existing patterns. No tests. No spec. Just a wall of generated files and a "let me know if you need changes."
The result is code that works in isolation but clashes with everything around it. Inconsistent naming. Duplicated logic. Tests bolted on after the fact. Entire components built from scratch when a solid open-source solution already exists. You end up spending more time fixing the agent's output than you would have spent writing it yourself.
GodMode fixes this. It is a 36-skill system that activates automatically and governs the full development lifecycle — from the first question about requirements through to a merged pull request.
GodMode operates as a five-phase gated pipeline. The agent cannot advance until each phase meets its exit criteria.
DEFINE — The agent interrogates the problem space. It asks targeted questions one at a time, surfaces trade-offs, researches proven references, presents 2-3 approaches with rationale, and produces a spec document. Nothing moves forward until you approve it.
PLAN — The approved spec is decomposed into atomic tasks (2-5 minutes each). Every task includes exact file paths, complete code snippets, shell commands with expected output, and pass/fail criteria. Ambiguity dies here.
EXECUTE — Fresh subagents receive individual tasks and work in isolation. Test-driven development is mandatory: write a failing test, make it pass, refactor, commit. A two-stage review (spec compliance + code quality) runs after every task.
REVIEW — Completed work is evaluated against the original spec, then against code quality standards. Issues are severity-ranked. Critical findings block forward progress until resolved.
SHIP — End-to-end test verification. The agent presents options: merge, open a PR, keep the branch, or discard. Worktrees are cleaned up. Nothing left dangling.
GodMode doesn't just have one way of working. It analyzes your task and automatically selects the optimal execution mode:
Task arrives
│
├── Single atomic step?
│ └── YES → Handle directly (no orchestration)
│
├── Multiple independent parts?
│ ├── Need peer coordination? → Agent Teams
│ └── No coordination needed? → Parallel Execution
│
└── Multi-step sequence?
└── YES → Delegated Execution (sequential + review gates)
Direct — Simple tasks that don't need decomposition. Config changes, typo fixes, single-file modifications.
Delegated Execution — Sequential multi-step implementation. A fresh subagent handles each task, followed by a spec compliance audit and a code quality audit. The controller never loses context because it curates exactly what each subagent needs.
Parallel Execution — Independent problems dispatched to concurrent agents. Each agent works in isolation with a focused brief. Results are reconciled and integration-tested after all agents report back. Used for multi-domain debugging, distributed investigation, independent test fixes.
Agent Teams — Multiple Claude instances collaborating via peer-to-peer messaging, each in its own git worktree. Teammates can share discoveries mid-work, negotiate interfaces in real-time, and coordinate on shared problems. Used for multi-module features, codebase migrations, and diagnosis of complex issues.
The system decides automatically. You say "build me a dashboard" and GodMode figures out whether that's a 3-agent team job or a sequential delegation.
npx claudepluginhub noobygains/godmode --plugin godmodeLive usage status bar for Claude Code — session limits, weekly usage, lines changed, 10 themes, widget priorities, shimmer animations, and zero API calls
Self-orchestrating multi-agent development system powered by Claude Fable 5 — 15 agents (8 core + 1 security gate + 6 department), Smart Routing default, token-efficient subagents, risk-based quality gates. You say WHAT, the AI decides HOW.
Production-grade engineering skills for AI coding agents — covering the full software development lifecycle from spec to ship.
Persona-driven AI development team: orchestrator, team agents, review agents, skills, slash commands, and advisory hooks for Claude Code
AI-powered development workflow automation - Phase-based planning, implementation orchestration, preflight code quality checks with security scanning, ship-it workflow, and development principles generator for CLAUDE.md
Make AI coding agents follow a repeatable engineering workflow with memory, verification, skills, and multi-agent setup
GSD Core is a meta-prompting, context engineering, and spec-driven development system for AI coding agents.