model-management

Manage AI model lifecycle operations via a Bun/Node CLI.

7|Updated Dec 4, 2025

Search Tags:#pricing #database #cli #lifecycle #ai-models #model-management

Ready to run

npx skills add https://github.com/planetaryescape/blah.chat --skill model-management

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: model-management
Source: https://github.com/planetaryescape/blah.chat/tree/main/.claude/skills/model-management
Command: npx skills add https://github.com/planetaryescape/blah.chat --skill model-management

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables teams to manage AI models directly in the database from the command line, reducing manual overhead and ensuring consistent lifecycle operations.

Core Features & Use Cases

Add, update, list, and deprecate models from a unified CLI workflow.
Manage model metadata, pricing, and lifecycle without a UI.
Trigger model CLI tasks across providers to maintain a centralized model catalog.

Quick Start

Install the required CLI environment and run typical workflows such as adding a new model, listing models, or updating pricing. For example, add a model with bun run model:add --json '{...}' and list models with bun run model:list.

Frequently Asked Questions about model-management

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

FAQPage Schema

How do I manage AI model lifecycles from the command line?▼

You can manage AI model lifecycles from the command line using a CLI workflow that supports adding, updating, listing, and deprecating models with commands like model:add and model:update.

Can I update AI model pricing across providers without a UI?▼

Yes, you can update AI model pricing across providers without a UI by executing CLI commands that directly modify model metadata and pricing data within your database.

What environment do I need to run CLI commands for AI model management?▼

You need a Bun or Node-based CLI environment to run AI model management commands and execute lifecycle operations for your centralized model catalog.

How do I list available AI models stored in my database?▼

You can list available AI models by running the model:list command in your CLI environment, which queries the database and returns the centralized model catalog.

What is the best way to deprecate an AI model in a centralized catalog?▼

The best way to deprecate an AI model in a centralized catalog is by using the model:deprecate CLI command, ensuring consistent lifecycle operations without manual database overhead.

Does this CLI approach work for adding new AI models across multiple providers?▼

Yes, the CLI approach works for adding new AI models across multiple providers by running model:add with a JSON payload, triggering tasks to maintain a centralized catalog.