auto-router-patterns

Route user messages to optimal AI models via task classification and cost-aware tier selection.

7|Updated Dec 4, 2025
One-click install
npx skills add https://github.com/planetaryescape/blah.chat --skill auto-router-patterns
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: auto-router-patterns
Source: https://github.com/planetaryescape/blah.chat/tree/main/.claude/skills/auto-router-patterns
Command: npx skills add https://github.com/planetaryescape/blah.chat --skill auto-router-patterns

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates routing of user messages to the most suitable AI model by classifying tasks, balancing cost tiers, and applying high-stakes safety overrides.

Core Features & Use Cases

  • Intelligent task classification directs messages to the optimal model.
  • Cost-aware, tiered model selection to balance speed, quality, and expense.
  • High-stakes override for medical/legal/financial queries ensuring safer, premium choices.
  • Encourages model diversity across conversations while preserving result validity.

Quick Start

Enable auto-router in your chat pipeline to route messages to the best model for each task based on context and cost.

Frequently Asked Questions about auto-router-patterns

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

FAQPage Schema
How does automated AI model routing work for task classification?

To implement cost-aware model selection, you enable an auto-router in your chat pipeline that applies deterministic task classification and weighted tier selection, balancing speed, quality, and expense for each routed message.

Can I force premium model selection for high-stakes queries?

Yes, you can enforce premium model selection for high-stakes queries. The auto-router applies safety overrides for medical, legal, and financial tasks, ensuring these critical messages bypass standard cost tiers for safer, premium choices.

What is non-greedy exploration in multi-model routing?

Non-greedy exploration in multi-model routing is a mechanism that encourages model diversity across conversations. It prevents the system from repeatedly selecting the same optimal model, ensuring diverse, cost-effective routing while preserving result validity.

Does auto-router support model variety without losing response quality?

Yes, auto-router supports model variety without losing response quality. It uses deterministic classification and non-greedy exploration to distribute messages across different models, ensuring cost-effective routing while preserving the validity of results.