openrouter-trending-models

Fetch weekly trending OpenRouter programming models and output structured JSON metadata.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill provides up-to-date rankings of trending programming models from OpenRouter, enabling informed model selection for multi-model reviews, cost optimization, and research into current coding AI trends.

Core Features & Use Cases

  • Weekly trending data: Retrieve the top 9 programming models with IDs, context windows, and pricing.
  • Structured output: Outputs model metadata including rank, ID, name, contextLength, and pricing per 1M tokens.
  • Research & comparison: Use for trend analysis, cost-conscious model selection, and updating plugin documentation.

Quick Start

Run bun run scripts/get-trending-models.ts and inspect trending-models.json for the latest data.

Frequently Asked Questions about openrouter-trending-models

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

FAQPage Schema
How do I get the latest trending programming models from OpenRouter?

Fetch trending programming models by running the Skill's script, which retrieves the top 9 models ranked by OpenRouter with their IDs, context windows, and pricing per 1M tokens, outputting structured JSON data for immediate use.

What pricing information does OpenRouter's trending models data include?

Trending models data includes pricing per 1M tokens for each ranked model, enabling cost-conscious selection and comparison across the current top programming models.

Can I use trending model rankings to optimize AI infrastructure costs?

Yes, weekly rankings with pricing metadata support cost optimization by identifying high-performing models with favorable token pricing, informing budget-aware model selection for multi-model deployments.

How often does the trending models data update?

The Skill fetches weekly trending data from OpenRouter, providing up-to-date rankings to keep model recommendations and documentation current with coding AI trends.

What structured data does the output JSON contain about each model?

Output includes rank, model ID, name, context length, and pricing per 1M tokens for each trending model, plus summary metadata enabling downstream processing and comparison.

Can I use this data for multi-model reviews and comparisons?

Yes, structured trending model metadata supports multi-model reviews by providing authoritative rankings, context window sizes, and pricing, informing which models to include in comparative analysis.