rio-one-builder

Coordinate ONE Command Center UI and RIO governance tooling development.

Updated Mar 23, 2026
One-click install
npx skills add https://github.com/bkr1297-RIO/rio-system --skill rio-one-builder
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: rio-one-builder
Source: https://github.com/bkr1297-RIO/rio-system/tree/main/legacy/skills/rio-one-builder
Command: npx skills add https://github.com/bkr1297-RIO/rio-system --skill rio-one-builder

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Build and extend the ONE Command Center — the human control surface for the RIO governed AI system. Use when building features for the ONE PWA (rio-one.manus.space), working on the RIO governance engine, coordinating with other agents on the RIO project, or onboarding a new Manus agent to the RIO system.

Core Features & Use Cases

  • Build and extend the ONE Builder UI and governance tooling to empower humans to oversee AI actions.
  • Coordinate with the governance engine and agent collaborators to implement features, workflows, and onboarding.
  • Use Case: Extend the ONE PWA to support new governance flows and ledger-backed decision trails.

Quick Start

Follow the Build Workflow to scaffold and extend the ONE Builder UI, governance engine integration, and agent coordination features.

Frequently Asked Questions about rio-one-builder

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

FAQPage Schema
How do I extend a governance UI for safe AI control and agent coordination?

You extend a governance UI by using the Build Workflow to scaffold schema generation, tRPC routes, UI pages, and ledger entries within an 8-layer architecture. This coordinates the governance engine and onboards Manus agents safely.

What is ledger-based audit trail integration for AI governance workflows?

Ledger-based audit trail integration records governance decisions and agent actions within the UI. It requires creating ledger entries alongside schema generation and tRPC routes to ensure human oversight of AI workflows.

How do I onboard a new Manus agent to a governed AI system?

Onboarding a Manus agent requires extending the governance UI and engine by following the Build Workflow. You coordinate schema generation, tRPC route integration, and ledger entries to safely integrate the new agent.

Does the ONE Builder PWA support tRPC routes and ledger-backed decision trails?

Yes, the ONE Builder PWA supports tRPC routes and ledger-backed decision trails. Extending the PWA involves integrating schema generation, UI pages, and ledger entries using the 8-layer architecture for governance flows.

Can I use this workflow to build new features for a governance engine without external dependencies?

Yes, you can build governance engine features without external dependencies. The workflow coordinates schema generation, tRPC routes, UI pages, and ledger entries internally to extend the governance UI and onboard agents.

What is the best way to scaffold a progressive web app for AI governance and human oversight?

The best way to scaffold a governance PWA is following the Build Workflow, which coordinates schema generation, tRPC routes, UI pages, and ledger entries. This extends the command center UI for safe AI control.