blackbox

Delegate coding tasks to multiple AI models and select optimal implementations.

1|Updated May 12, 2026
One-click install
npx skills add https://github.com/projectedanx/hermes-agent --skill blackbox-projectedanx
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: blackbox
Source: https://github.com/projectedanx/hermes-agent/tree/main/optional-skills/autonomous-ai-agents/blackbox
Command: npx skills add https://github.com/projectedanx/hermes-agent --skill blackbox-projectedanx

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @blackboxai/cli.

What problem does it solve?

This skill solves the challenge of choosing the right AI model for coding tasks by delegating work to multiple LLMs simultaneously and using a judge to select the highest-quality implementation.

Core Features & Use Cases

  • Multi-Model Delegation: Dispatches coding tasks to models like Claude, Codex, and Gemini.
  • Automated Judging: Evaluates outputs from multiple providers to ensure the best code quality.
  • Use Case: Use this skill to refactor a complex authentication module where you need to compare different architectural approaches generated by various models before finalizing the implementation.

Quick Start

Use the blackbox skill to add JWT authentication with refresh tokens to the current Express API project directory.

Frequently Asked Questions about blackbox

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

FAQPage Schema
How do I use multiple AI models to refactor complex code and select the best implementation?

To refactor complex code using multiple AI models, you can delegate your software development tasks to a multi-model agent system that dispatches work to various LLMs and uses an automated judge to evaluate and select the highest-quality implementation.

What is the best way to compare architectural approaches generated by different LLMs for an Express API?

Comparing architectural approaches generated by different LLMs for an Express API is done by dispatching the coding task to multiple models like Claude, Codex, and Gemini simultaneously, using an automated judge to evaluate the outputs before finalizing the implementation.

Do I need Node.js and a CLI tool to run a multi-model AI coding agent in the terminal?

Yes, running a multi-model AI coding agent in terminal environments requires the Blackbox CLI tool, a valid API key, and a Node.js 20+ runtime environment to support interactive coding and long-running background processes.

Can I use multi-model AI agents for automated PR reviews and background coding tasks?

Yes, you can use multi-model AI agents for automated PR reviews and background coding tasks, as the system operates within terminal environments to support interactive coding, evaluate code implementations, and manage long-running background processes.

How does automated judging work when delegating development tasks to multiple LLMs?

Automated judging works by dispatching your coding task to multiple LLM providers simultaneously, then evaluating the generated code outputs from each model to ensure the optimal code implementation is selected for your project.

What are the limitations of using a multi-model AI agent for software development?

Limitations of using a multi-model AI agent include strict dependency requirements, specifically needing the Blackbox CLI tool, a valid API key, and a Node.js 20+ runtime environment to function within terminal environments.