EduardoMoraga

Rugol — Development skill for Claude Code

Development community

Rogologo — open-source agent operations platform on top of Claude Code.

How to install Rugol

This entry records only its repository, not the path inside it, so there is no exact command to give. Open EduardoMoraga/rugol and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Rugol does

Rogologo — open-source agent operations platform on top of Claude Code.

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README

Rugol

**Your AI agent orchestrator — support for the decisions that matter.**

A local control room where teams of Claude agents do the work, challenge your thinking, and remember what you've learned — so you decide with a better process, not just more information.

[Quickstart](#quickstart) · [Why Rugol](#why-rugol) · [Real cases](#real-cases) · [How it works](#how-it-works) · [Español](README.es.md)

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE)

**Good decisions aren't about more information — they're about a better process.**

Rugol flips the paradigm. You don't think "what agent should I create". You think **what do I want to get done**: a personal assistant, your brand, your projects, your operations, your sales pipeline. Each one comes with its own team of specialist agents, a written mission, and living rules. The agents do the work and challenge your thinking — you keep the decision, better informed and with less noise.

Why Rugol

Built by a business person, not a dev

I'm an economist. I lead Business Intelligence projects across LATAM. I watched "agentic AI" get trapped in technical jargon that excludes the very people the tool can change life for.

Rugol was born from that frustration. Behind the code (which I wrote with Claude Code, naturally), the product decisions come from a different place: **behavioral economics, real productivity problems, everyday life**.

The project-first paradigm

Other platforms	Rugol
Flat list of standalone agents	Projects as departments with mission
You pick the model (haiku/sonnet/opus)	You pick the task type (heuristic / think / deliberate); the system routes
Agent acts alone	Optional: devil's advocate challenges before acting
Memory per-agent or none	Living lessons per project — every team member reads them before each task
Technical templates	Outcome templates: "personal assistant",