Gemini MCP
1M token context window for comprehensive design review and UI consistency across your entire codebase.
- UI/UX design review
- Documentation writing
- Visual/image analysis
A weapon, not a tool
Multi-AI orchestration plugin for Claude Code. Coordinate Claude, Gemini, and Codex with 28 specialized agents, 40+ skills, and MCP-powered tools.
Claude coordinates with Gemini and Codex for specialized tasks. Optional but powerful.
The Conductor
1M token context window for comprehensive design review and UI consistency across your entire codebase.
Deep code analysis and architecture validation with OpenAI's most capable reasoning model.
Claude automatically routes tasks to the right AI. Design work goes to Gemini, analysis to Codex.
Two simple steps and you're ready to go. No configuration needed.
Install the plugin
# In Claude Code, run:
/plugin marketplace add https://github.com/Yeachan-Heo/oh-my-claudecode
/plugin install oh-my-claudecode
Run setup
/oh-my-claudecode:omc-setup
# That's it! You're ready.
Choose how you want to work. From full autopilot to token-efficient parallel execution.
Full autonomous execution from high-level idea to working, tested code. No manual intervention required.
Self-referential loop until completion with architect verification. The boulder never stops rolling.
Maximum parallelism with aggressive agent delegation. Process multiple tasks simultaneously.
Parallel autopilot with file ownership tracking. 3-5x faster than sequential execution.
N coordinated agents working on a shared task list. True collaborative multi-agent execution.
N coordinated agents on a shared task list using Claude Code native teams. Real-time messaging and task coordination.
Sequential agent chaining with data passing. Build complex workflows with specialized stages.
Token-efficient parallel execution with smart Haiku/Sonnet routing. Save tokens without sacrificing quality.
Strategic interview-based planning workflow. Gather requirements before diving into implementation.
Language server integration, structural code analysis, and persistent state - all built in.
Hover info, go-to-definition, find references, and project-wide type checking with any language server.
Structural code search and replace. Find patterns by syntax, not just text matching.
Persistent Python environment with pandas, numpy, and matplotlib for data analysis.
Notepad, project memory, and session state that persists across conversations.
Just say the keyword and the right mode activates automatically.
| Keyword | Effect | Example |
|---|---|---|
autopilot |
Full autonomous execution | "autopilot: build a todo app" |
ralph |
Persistence mode until completion | "ralph: refactor auth system" |
ulw |
Maximum parallelism (ultrawork) | "ulw fix all errors" |
plan |
Planning interview mode | "plan the new API" |
ralplan |
Iterative planning consensus | "ralplan this feature" |
eco |
Token-efficient execution | "eco fix all linting errors" |
swarm |
Coordinated multi-agent | "swarm: implement all features" |
team |
Coordinated native teams | "team 5:executor fix all errors" |
Unified agents organized by domain. Use the model parameter to match complexity.
Core workflow from exploration to verification
Multi-dimensional code quality checks
Deep expertise for specialized tasks
Product thinking and user research
Plus Coordination agents: critic and vision for plan challenges and image analysis.
No docs needed. No commands to memorize. Just say what you want.
"Build me a REST API" - that's it. Autopilot detects your intent and orchestrates 28 agents automatically.
Say "fast" and it activates parallelism. Say "don't stop" and it persists. Every intent maps to the right mode.
Delegates to specialists, routes to the right model tier, verifies with architect. You focus on the what, not the how.
Install from Claude's plugin marketplace, run /oh-my-claudecode:omc-setup - done. Everything else is automatic.