policyengine-dashboard-workflow

Generate deployable PolicyEngine dashboard projects from natural-language descriptions.

2|Updated Mar 31, 2026
One-click install
npx skills add https://github.com/PolicyEngine/policyengine-skills --skill policyengine-dashboard-workflow
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: policyengine-dashboard-workflow
Source: https://github.com/PolicyEngine/policyengine-skills/tree/main/skills/tools-and-apis/policyengine-dashboard-workflow-skill
Command: npx skills add https://github.com/PolicyEngine/policyengine-skills --skill policyengine-dashboard-workflow

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The orchestrated dashboard workflow solves the complexity of turning natural-language descriptions into deployable PolicyEngine dashboards by coordinating a multi-agent pipeline and reproducible phases.

Core Features & Use Cases

  • Orchestrates planning, scaffolding, backend/frontend integration, and validation across multiple agents to deliver a deployable dashboard
  • Generates Next.js + Tailwind project structure and embeds PolicyEngine UI tokens for consistent design
  • Enables rapid iteration from description to deployment, with human review checkpoints and automated testing

Quick Start

Provide a natural-language dashboard description and run the workflow to generate a deployable PolicyEngine dashboard project.

Frequently Asked Questions about policyengine-dashboard-workflow

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

FAQPage Schema
How do I generate a Next.js dashboard from a natural language prompt?

To generate a Next.js dashboard from a natural language prompt, you provide a text description to trigger a multi-agent workflow that plans, scaffolds, and integrates backend and frontend components. This pipeline outputs a deployable Next.js and Tailwind dashboard project.

How does multi-agent orchestration work for dashboard scaffolding?

Multi-agent orchestration for dashboard scaffolding works by coordinating multiple agents across reproducible phases like planning, backend and frontend integration, validation, and deployment. It enforces a plan YAML schema to ensure the generated Next.js project maintains consistent structure and PolicyEngine UI tokens.

Can I use a custom backend with the PolicyEngine API v2 alpha?

Yes, you can use a custom backend with the PolicyEngine API v2 alpha. The orchestrated workflow explicitly validates compatibility with API v2 alpha patterns and supports custom backend integration during the backend and frontend connection phases.

What is the best way to deploy a PolicyEngine dashboard using Vercel and Modal?

The best way to deploy a PolicyEngine dashboard using Vercel and Modal is to run the multi-agent workflow that generates the Next.js project structure, passes automated testing and human review checkpoints, and prepares the validated output for deployment across these platforms.

Are there human review checkpoints during the dashboard generation workflow?

Yes, there are human review checkpoints during the dashboard generation workflow. The multi-agent pipeline enables rapid iteration from description to deployment by pausing for automated testing and human validation before finalizing the deployable Next.js project.

Does the dashboard workflow enforce a specific plan schema for Next.js projects?

Yes, the dashboard workflow enforces a specific plan YAML schema for Next.js projects. This schema structures the planning phase and ensures the multi-agent pipeline correctly scaffolds the project and embeds the PolicyEngine UI tokens for consistent design.