claudish-usage

Coordinates Claudish CLI usage through sub-agents for OpenRouter models.

2|Updated Dec 25, 2025
One-click install
npx skills add https://github.com/tianzecn/myclaudecode --skill claudish-usage
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: claudish-usage
Source: https://github.com/tianzecn/myclaudecode/tree/main/plugins/code-analysis/skills/claudish-usage
Command: npx skills add https://github.com/tianzecn/myclaudecode --skill claudish-usage

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires claudish, and includes references (resource) components.

What problem does it solve?

This Skill provides guidance on how to use Claudish CLI via sub-agents to run Claude Code with OpenRouter models, and prevents context-window pollution.

Core Features & Use Cases

  • Sub-agent Guidance: delegate to appropriate agent for model-driven tasks.
  • File-based Prompts: promote file-based prompts to keep context lean.
  • Model-Safety: outline when to use direct vs delegated execution.

Quick Start

Use sub-agents to run claudemem tasks, then read summarized results.

Frequently Asked Questions about claudish-usage

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

FAQPage Schema
How do I run Claude Code with OpenRouter models through sub-agents?

Delegate Claudish CLI execution to sub-agents instead of running it directly. Sub-agents execute Claudish commands with OpenRouter models, then return summarized results to keep your context window clean and prevent pollution from large model outputs.

When should I use sub-agent delegation for Claudish tasks?

Delegate to sub-agents whenever you mention external AI models, Claudish, OpenRouter, or alternative models. Delegation is mandatory except when explicitly requested otherwise, following a model-agent mapping workflow that routes task types to appropriate agents.

How do file-based prompts help with Claudish CLI usage?

File-based prompts keep context lean by storing instructions in files rather than inline. Sub-agents read these files to execute Claudish tasks, reducing context pollution and maintaining a clean workflow for complex model-driven operations.

What's the difference between direct execution and delegated Claudish execution?

Direct execution runs Claudish inline and pollutes your context window with full model responses. Delegated execution uses sub-agents to run Claudish, then reports only summarized results, preserving context for your primary task.

Can I use Claudish with models other than Claude through this workflow?

Yes. This Skill guides Claudish CLI usage with OpenRouter models specifically, enabling access to external AI models through a standardized sub-agent delegation and agent-selection workflow.

What prerequisites do I need before delegating Claudish tasks to sub-agents?

You need Claudish CLI installed and configured with OpenRouter credentials. Sub-agents handle model routing and execution; you provide task context and receive formatted summaries without direct model output pollution.

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