agent-factory

Name: agent-factory
Availability: InStock
Author: daydreams

Coordinate Lucid Agent creation from trend discovery to Railway deployment.

29|14|Updated Jan 8, 2026

Search Tags:#orchestrate #monetized-agents #railway-deploy #api-research #trend-discovery #lucid-agents

Ready to run

npx skills add https://github.com/daydreamsai/skills-market --skill agent-factory-daydreamsai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agent-factory
Source: https://github.com/daydreamsai/skills-market/tree/main/plugins/agent-factory/skills
Command: npx skills add https://github.com/daydreamsai/skills-market --skill agent-factory-daydreamsai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides end-to-end orchestration for creating paid Lucid Agents, combining discovery, research, builder, and deployment into a single repeatable workflow.

Core Features & Use Cases

Workflow orchestration: coordinates trend-discovery, api-research, lucid-builder, and railway-deploy to accelerate agent creation.
Repeatable pipelines: transforms ad-hoc agent projects into repeatable, auditable processes.
Use Case: When launching a new monetized Lucid Agent, run this meta-skill to automatically coordinate discovery, API validation, agent construction, and deployment.

Quick Start

Run trend-discovery to identify topics, then api-research to validate data sources, then lucid-builder to assemble the agent, and finally railway-deploy to publish it.

Frequently Asked Questions about agent-factory

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

FAQPage Schema

How do I orchestrate a monetized agent workflow from discovery to deployment?▼

To orchestrate a monetized agent workflow, you coordinate trend discovery, API research, agent assembly, and Railway deployment into a single repeatable pipeline. This meta-skill guides each stage to accelerate paid Lucid Agent creation without hardcoded mocks.

What is end-to-end monetized Lucid Agent creation?▼

End-to-end monetized Lucid Agent creation is a repeatable workflow combining trend discovery, API validation, agent construction, and deployment. It transforms ad-hoc agent projects into auditable processes, guiding teams from initial topic discovery through final Railway publication.

Do I need specific skills to build and deploy paid Lucid Agents?▼

Yes, building and deploying paid Lucid Agents requires access to trend-discovery, api-research, lucid-builder, and railway-deploy skills. This orchestration skill coordinates these dependent skills to automate the end-to-end creation pipeline.

Can I use live data workflows to deploy monetized agents on Railway?▼

Yes, you can use live data workflows to deploy monetized agents on Railway. The orchestration pipeline expects live data workflows without hardcoded mocks, validating data sources through API research before assembling and deploying the agent.

What's the best way to turn ad-hoc agent projects into repeatable pipelines?▼

The best way to turn ad-hoc agent projects into repeatable pipelines is using a meta-skill that coordinates trend discovery, API research, agent building, and deployment. This approach ensures auditable processes for launching new monetized Lucid Agents.

Why does my Lucid Agent deployment workflow require multiple coordination stages?▼

Your Lucid Agent deployment workflow requires multiple coordination stages because each stage serves a distinct purpose: trend discovery identifies topics, API research validates data sources, the builder assembles the agent, and Railway deployment publishes the final monetized agent.