Does it provide implementation code?

Yes, it generates Python blueprints using httpx for async API calls, including header configurations and message structure for text and vision requests.

Is this skill designed for a specific project?

While it is optimized for the SFUMATO project's architecture (openrouter_tool.py), its research capabilities apply to any OpenRouter-based integration.

Can it help with OpenRouter-specific error codes?

Absolutely. It provides detailed guidance on handling 429 rate limits, 503 model unavailability, and 402 billing errors with recommended retry strategies.

How does it ensure model IDs are correct?

The skill uses WebSearch and WebFetch to query live OpenRouter endpoints and documentation, ensuring it identifies the most current model strings like 'x-ai/grok-2-vision-1212'.

Does this skill help with vision models?

Yes, it specifically researches Grok model vision capabilities and provides the exact base64 image formatting patterns required for judge and evaluation services.

OpenRouter & Grok Researcher

Name: OpenRouter & Grok Researcher
Author: NikGor

byNikGor

0•

데이터 과학 및 ML

Researches OpenRouter API specifications and Grok model capabilities to optimize LLM integrations and vision-based evaluation workflows.

This skill empowers Claude to perform deep technical research into the OpenRouter API ecosystem, with a specialized focus on xAI's Grok models. It assists developers in identifying precise model IDs, verifying vision capabilities for image analysis (critical for judge services), and establishing robust implementation patterns. By analyzing live documentation and API responses, it provides up-to-date guidance on base64 image formatting, context limits, pricing, and sophisticated error-handling strategies for 429 and 503 status codes, ensuring high-reliability AI integrations.

주요 기능

01Implementation blueprints for OpenAI-compatible async Python clients

02Grok model benchmarking for vision vs. text-only capabilities

03Optimized error handling and retry logic recommendations for API stability

040 GitHub stars

05Automated OpenRouter API documentation retrieval and specification analysis

06Standardized base64 image formatting guides for vision-based judge services

사용 사례

01Building robust LLM tools with specific retry patterns for OpenRouter rate limits

02Implementing a vision-capable evaluation service using Grok via OpenRouter

03Verifying current Grok model context windows and pricing for cost optimization

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nikgor/image-prompt-optimizer openrouter-research

For use in Claude.ai and ChatGPT

주요 기능

01Implementation blueprints for OpenAI-compatible async Python clients

02Grok model benchmarking for vision vs. text-only capabilities

03Optimized error handling and retry logic recommendations for API stability

040 GitHub stars

05Automated OpenRouter API documentation retrieval and specification analysis

06Standardized base64 image formatting guides for vision-based judge services

사용 사례

01Building robust LLM tools with specific retry patterns for OpenRouter rate limits

02Implementing a vision-capable evaluation service using Grok via OpenRouter

03Verifying current Grok model context windows and pricing for cost optimization

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nikgor/image-prompt-optimizer openrouter-research

For use in Claude.ai and ChatGPT