Add new LLM vendors and models with client files, factory registration, and migrations.
npx skills add https://github.com/jeffstric/ZJT --skill add-llm-model
Please help me install this Agent Skill. Skill: add-llm-model Source: https://github.com/jeffstric/ZJT/tree/main/.claude/skills/add-llm-model Command: npx skills add https://github.com/jeffstric/ZJT --skill add-llm-model
This skill enables teams to add new LLM vendors and models to a project to support diverse AI providers.
Follow the steps in SKILL.md to extend the LLM integration by adding a new vendor and its models.
High-intent search queries and answers about installing and using this skill.
To add a new LLM vendor, you update constants, create client implementations, register them in the factory, add database migrations, and update configuration files for providers like OpenAI, Claude, or DeepSeek.
Integrating multiple AI providers requires defining model naming conventions, creating client files, performing factory registration, applying database migrations, and executing configuration updates for a repeatable vendor onboarding process.
Yes, you can configure OpenAI, Claude, and DeepSeek models by following the guided process for constants, client file templates, factory registration, and hot-update configuration updates to support diverse AI providers.
Yes, database migrations are required when adding new LLM models to ensure the application schema properly tracks and supports the newly registered vendor configurations and client implementations.
The best way to manage diverse AI providers is using a factory registration pattern alongside standardized client files and model naming conventions, ensuring a repeatable and auditable integration process.
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