Why shouldn't I run Claudish in the main context?

Running Claudish directly in the main context can add over 10,000 tokens of conversation history and reasoning to your window, leading to context pollution and inefficiency.

Which models are supported by Claudish?

Claudish supports any model available through OpenRouter, including Grok, Gemini, GPT-5, MiniMax, and Qwen.

What is the sub-agent delegation pattern?

It is a workflow where Claudish tasks are assigned to a secondary agent or instruction file, isolating the heavy token usage from your primary chat session.

Do I need a separate API key for this skill?

Yes, you must have an OpenRouter API key configured as an environment variable (OPENROUTER_API_KEY) to use external models.

Can I use Claudish for code reviews?

Absolutely. Claudish can delegate code review tasks to specialized agents using high-reasoning models like GPT-5 or Gemini for thorough analysis.

Claudish Multi-Model Integration

Name: Claudish Multi-Model Integration
Author: MadAppGang

byMadAppGang

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177

Data Science & ML

Integrates Claude Code with OpenRouter models like Grok, GPT-5, and Gemini while maintaining context efficiency through sub-agent delegation.

About

The Claudish Usage skill enables developers to leverage the full power of OpenRouter's extensive model catalog directly within their Claude Code environment. It provides a standardized framework for proxying requests to alternative LLMs—such as Grok, Gemini, and GPT-5—while strictly enforcing a sub-agent delegation pattern. This architecture prevents the main conversation context from being overwhelmed by large token counts, ensuring that multi-model workflows remain high-performance, cost-effective, and manageable even during complex, multi-phase development tasks.

Key Features

Multi-model support for Grok, GPT-5, Gemini, and MiniMax via OpenRouter proxying
File-based instruction patterns for isolated, production-grade agent workflows
177 GitHub stars
Comprehensive agent selection matrix for specialized coding, testing, and architecture
Integrated model discovery and curated 'Top Models' list for development
Strict sub-agent delegation rules to prevent main context window pollution

Use Cases

Delegating specialized frontend or backend implementations to domain-specific sub-agents
Performing deep architectural reviews or complex reasoning tasks using GPT-5
Running rapid code iterations using speed-optimized models like Grok-Code-Fast

About

Key Features

Multi-model support for Grok, GPT-5, Gemini, and MiniMax via OpenRouter proxying
File-based instruction patterns for isolated, production-grade agent workflows
177 GitHub stars
Comprehensive agent selection matrix for specialized coding, testing, and architecture
Integrated model discovery and curated 'Top Models' list for development
Strict sub-agent delegation rules to prevent main context window pollution

Use Cases

Delegating specialized frontend or backend implementations to domain-specific sub-agents
Performing deep architectural reviews or complex reasoning tasks using GPT-5
Running rapid code iterations using speed-optimized models like Grok-Code-Fast