Can I customize the number of agents generated?

Yes, while the default is 10, the skill can be adjusted to generate anywhere from 3 to 20 agents depending on the complexity of your domain.

Does this skill handle deployment?

Yes, it automatically pushes the entire monorepo to GitHub and offers an optional automated deployment of all agents to Railway.

What is a Lucid Agent?

Lucid Agents are specialized, production-ready autonomous agents built for agentic commerce and domain-specific tasks within the Daydreams AI ecosystem.

How long does it take to build all 10 agents?

By leveraging parallel execution with the Task tool, the entire pipeline typically completes in 30 to 60 minutes, a massive improvement over sequential building.

Do I need to manually configure the monorepo structure?

No, the skill automatically configures the root package.json, TypeScript workspaces, shared configurations, and cross-package scripts.

Autonomous Agent Factory

Name: Autonomous Agent Factory
Author: daydreamsai

bydaydreamsai

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Soluciones de Comercio Electrónico

Automates the research and generation of complete monorepos containing 10 production-ready AI agents for any specific domain.

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The Autonomous Agent Factory is a high-level meta-skill designed to orchestrate the end-to-end creation of agentic ecosystems. It conducts deep domain research, identifies 10 unique high-value agent concepts, and utilizes parallel execution to build them all simultaneously within a professional monorepo structure. This skill streamlines the entire development lifecycle—from scaffolding and code generation to testing, documentation, and deployment on Railway—making it the ultimate tool for rapidly launching comprehensive AI agent suites.

Características Principales

Deep domain research and trend analysis using research-agent
Parallel generation of 10 production-grade Lucid agents
7 GitHub stars
Automated monorepo scaffolding with workspace configurations
Integrated GitHub publishing and optional Railway deployment
Comprehensive documentation and README generation for the entire suite

Casos de Uso

Rapidly prototyping a comprehensive agent ecosystem for a new industry vertical
Generating a specialized suite of autonomous trading or financial monitoring agents
Building a decentralized workforce of AI agents for enterprise process automation

Acerca de

Características Principales

Deep domain research and trend analysis using research-agent
Parallel generation of 10 production-grade Lucid agents
7 GitHub stars
Automated monorepo scaffolding with workspace configurations
Integrated GitHub publishing and optional Railway deployment
Comprehensive documentation and README generation for the entire suite

Casos de Uso

Rapidly prototyping a comprehensive agent ecosystem for a new industry vertical
Generating a specialized suite of autonomous trading or financial monitoring agents
Building a decentralized workforce of AI agents for enterprise process automation