ritual-dapp-backend

Build Ritual dApp backends managing async precompiles, job state, and event indexing.

62|56|Updated Apr 24, 2026
One-click install
npx skills add https://github.com/ritual-foundation/ritual-dapp-skills --skill ritual-dapp-backend
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ritual-dapp-backend
Source: https://github.com/ritual-foundation/ritual-dapp-skills/tree/main/skills/ritual-dapp-backend
Command: npx skills add https://github.com/ritual-foundation/ritual-dapp-skills --skill ritual-dapp-backend

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Backend services for Ritual dApps enable reliable management of async precompiles, on-chain events, and job state across architectures, APIs, and workers.

Core Features & Use Cases

  • Robust backend for async precompiles and event indexing
  • Job lifecycle management, monitoring, and real-time updates
  • WebSocket/SSE delivery of status and results to frontends

Quick Start

Follow this guide to bootstrap a Ritual backend that tracks async jobs, indexes events, and serves real-time updates.

Frequently Asked Questions about ritual-dapp-backend

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

FAQPage Schema
How do I build a backend for Ritual dApps to manage async precompiles and job state?

You can track async job state by implementing a dedicated Job Monitor and a database schema that handles the nine-state job lifecycle. This setup allows your backend services to process short- and long-running async results and deliver real-time status updates to frontends via WebSocket or SSE.

What is the best way to index on-chain events and monitor async jobs for dApp backends?

The best way to index on-chain events and monitor async jobs is using a dedicated Job Monitor component within your backend architecture. This pattern tracks the nine-state job lifecycle, processes on-chain activity, and delivers real-time updates to dashboards or APIs via WebSocket or SSE connections.

How does a backend handle short-lived versus long-running async results in Ritual dApps?

Backends handle short- versus long-running async results by using a carefully designed database schema that tracks the nine-state job lifecycle. This schema ensures that both rapid and extended async precompile results are accurately monitored, processed, and delivered to frontends without state loss.

Can I use WebSocket and SSE to deliver real-time job status updates from a Ritual dApp backend?

Yes, you can use WebSocket and SSE to deliver real-time job status and results to frontends. The backend architectural patterns support these protocols to push immediate updates regarding on-chain activity and the nine-state job lifecycle directly to connected clients.

Do I need a dedicated Job Monitor component for event indexing and job lifecycle management in Ritual backends?

Yes, a dedicated Job Monitor is required for robust event indexing and job lifecycle management in Ritual backends. It tracks the nine-state job lifecycle, monitors on-chain activity, and ensures that async precompile results are accurately processed and delivered to your dashboards or workers.