model-researcher

Add and configure custom AI models in opencode.json with researched specifications.

124|12|Updated Nov 17, 2025
One-click install
npx skills add https://github.com/IgorWarzocha/Opencode-Workflows --skill model-researcher-igorwarzocha
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: model-researcher
Source: https://github.com/IgorWarzocha/Opencode-Workflows/tree/main/agents/opencode-configurator/skill/model-researcher
Command: npx skills add https://github.com/IgorWarzocha/Opencode-Workflows --skill model-researcher-igorwarzocha

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill simplifies the process of integrating new or custom AI models into your OpenCode configuration, ensuring you can leverage the latest advancements without manual opencode.json editing.

Core Features & Use Cases

  • Model Integration: Adds new AI models (including self-hosted or custom endpoints) to opencode.json.
  • Specification Verification: Researches and confirms model details like API identifiers, context limits, and token counts.
  • Use Case: A user wants to integrate the newly released "Claude 4.5 Opus" model. This Skill will find its API specifications, verify them, and add the correct configuration to opencode.json.

Quick Start

Add the new Claude 4.5 model to my opencode.json configuration.

Frequently Asked Questions about model-researcher

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

FAQPage Schema
How do I add a new AI model to opencode.json?

This Skill adds new AI models to opencode.json by researching API identifiers, context limits, output token limits, and provider details, then writing the correct configuration directly into your file.

Can I configure self-hosted models and non-standard providers in OpenCode?

Yes, you can configure self-hosted models and non-standard providers in OpenCode. This Skill researches custom endpoint specifications and integrates them into your opencode.json configuration.

What is the best way to integrate bleeding-edge AI model releases without manual editing?

The best way to integrate bleeding-edge AI model releases without manual editing is using this Skill to automatically verify model specifications and update your opencode.json configuration.

Does this Skill verify API identifiers and context token limits for custom models?

Yes, this Skill verifies API identifiers and context token limits for custom models. It researches and confirms model details including output token counts and provider information before adding them.

How do I set up provider configuration for a newly released AI model?

To set up provider configuration for a newly released AI model, this Skill researches the model's specifications and automatically generates the correct provider setup entries in opencode.json.