paid-agent

What problem does it solve?

This Skill provides a repeatable, auditable pipeline to turn an idea into production-ready Lucid Agents by coordinating development, testing, and deployment.

Core Features & Use Cases

• End-to-end automation: orchestrates the full agent lifecycle from concept to deployment.
• Quality gates: includes code review and test refinement to ensure robustness.
• One-click publishing: creates a GitHub repository and pushes the code.
• Hosting deployment: deploys on Railway for production hosting.
• Use Case: teams can rapidly iterate, validate, and monetize agents with minimal manual setup.

Quick Start

Describe the agent to be built, then initiate the Ralph Wiggum loop:

• Skill("ralph-wiggum:ralph-loop", args: "make a lucid agent that {DESCRIPTION} --max-iterations 50 --completion-promise 'agent implemented'")
• Depending on the workflow, run subsequent steps (code-review, test refinement, Git publish, and optional Railway deployment) as described in the agent lifecycle.