mofa-cli

Orchestrate AI content generation pipelines for slides, cards, comics, infographics, and videos.

11|12|Updated Feb 28, 2026
One-click install
npx skills add https://github.com/mofa-org/mofa-skills --skill mofa-cli
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mofa-cli
Source: https://github.com/mofa-org/mofa-skills/tree/main/mofa-cli
Command: npx skills add https://github.com/mofa-org/mofa-skills --skill mofa-cli

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Centralizes orchestration of all mofa skills behind a single binary, enabling teams to coordinate generation, input handling, and asset management without juggling multiple tools.

Core Features & Use Cases

  • Unified orchestration across slides, cards, comic, infographic, and video pipelines.
  • Config-driven model selection, caching, and batch processing for efficient production.
  • Use Case: generate a complete media toolkit for a presentation from a single manifest file.

Quick Start

Install the binary and run it with a manifest describing the slides, cards, and other assets to kick off batch generation.

Frequently Asked Questions about mofa-cli

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

FAQPage Schema
How do I orchestrate multiple AI content generation pipelines from a single command line interface?

AI content generation pipelines can be orchestrated from a single Rust binary to coordinate generation, input handling, and caching across slides, cards, comics, infographics, and videos. It uses config-driven model selection to manage batch workflows.

How do I generate a complete media toolkit for a presentation from one manifest file?

You can generate a complete media toolkit by running the binary with a manifest describing the slides, cards, and other assets. This triggers batch generation, coordinating all specified media pipelines simultaneously.

Does unified CLI orchestration support batch processing and caching for AI media generation?

Unified CLI orchestration supports batch processing and caching for AI media generation. Config-driven model selection and caching mechanisms ensure efficient production and reliable operation across multiple content pipelines.

What is the best way to coordinate AI generation for slides, cards, and videos without juggling multiple tools?

The best way to coordinate AI generation is using a single binary that centralizes orchestration across slides, cards, comic, infographic, and video pipelines. This eliminates the need to juggle multiple tools for asset management and generation.

Do I need Rust installed to run this AI workflow orchestration CLI?

No external dependencies are required to run this AI workflow orchestration CLI. It operates as a single unified Rust binary, allowing you to install and execute it directly without managing separate runtime environments.

How does config-driven model selection handle safe fallbacks during AI content generation?

Config-driven model selection ensures reliable production-grade operation by supporting safe fallbacks during AI content generation. This mechanism allows batch workflows to continue processing even if specific model requests encounter issues.