·external-model-selection
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external-model-selection

microck/ordinary-claude-skills

Choose optimal external AI models for code analysis, bug investigation, and architectural decisions. Use when consulting multiple LLMs via claudish, comparing model perspectives, or investigating complex Go/LSP/transpiler issues. Provides empirically validated model rankings (91/100 for MiniMax M2, 83/100 for Grok Code Fast) and proven consultation strategies based on real-world testing.

4Installs·0Trend·@microck

Installation

$npx skills add https://github.com/microck/ordinary-claude-skills --skill external-model-selection

SKILL.md

Purpose: Select the best external AI models for your specific task based on empirical performance data from production bug investigations.

When Claude invokes this Skill: When you need to consult external models, choose between different LLMs, or want diverse perspectives on architectural decisions, code bugs, or design choices.

Strategy 1: Fast Parallel Diagnosis (DEFAULT - 90% of use cases)

Choose optimal external AI models for code analysis, bug investigation, and architectural decisions. Use when consulting multiple LLMs via claudish, comparing model perspectives, or investigating complex Go/LSP/transpiler issues. Provides empirically validated model rankings (91/100 for MiniMax M2, 83/100 for Grok Code Fast) and proven consultation strategies based on real-world testing. Source: microck/ordinary-claude-skills.

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Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/microck/ordinary-claude-skills --skill external-model-selection
Category
{}Data Analysis
Verified
First Seen
2026-02-01
Updated
2026-02-18

Quick answers

What is external-model-selection?

Choose optimal external AI models for code analysis, bug investigation, and architectural decisions. Use when consulting multiple LLMs via claudish, comparing model perspectives, or investigating complex Go/LSP/transpiler issues. Provides empirically validated model rankings (91/100 for MiniMax M2, 83/100 for Grok Code Fast) and proven consultation strategies based on real-world testing. Source: microck/ordinary-claude-skills.

How do I install external-model-selection?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/microck/ordinary-claude-skills --skill external-model-selection Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

Where is the source repository?

https://github.com/microck/ordinary-claude-skills