codegen

Framework-agnostic utilities for generating code from json-render UI trees. Use these to build custom code exporters for Next.js, Remix, or other frameworks.

vercel-labs/json-renderUpdated Apr 8, 2026

Works with

Claude CodeCursorClineWindsurfCodexGooseGitHub CopilotZed

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Install Skill

Run in your terminal

$npx skills add https://github.com/vercel-labs/json-render --skill codegen

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this week

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Installation Guide

How to use codegen on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your machine
  • Node.js 16+ with npm — verify with node --version
  • Active project directory where you want to add codegen
2

Run the install command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/vercel-labs/json-render --skill codegen

Fetches codegen from vercel-labs/json-render and configures it for Cursor.

3

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ────────────────
│ · Cline · Codex · Goose · Windsurf
│ ●Cursor(selected)
│ · Cursor · Aider · Continue
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/codegen

Restart Cursor to activate codegen. Access via /codegen in your agent's command palette.

Security Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.

Documentation

@json-render/codegen

Framework-agnostic utilities for generating code from json-render UI trees. Use these to build custom code exporters for Next.js, Remix, or other frameworks.

Installation

npm install @json-render/codegen

Tree Traversal

import {
  traverseSpec,
  collectUsedComponents,
  collectStatePaths,
  collectActions,
} from "@json-render/codegen";

// Walk the spec depth-first
traverseSpec(spec, (element, key, depth, parent) => {
  console.log(`${" ".repeat(depth * 2)}${key}: ${element.type}`);
});

// Get all component types used
const components = collectUsedComponents(spec);
// Set { "Card", "Metric", "Button" }

// Get all state paths referenced
const statePaths = collectStatePaths(spec);
// Set { "analytics/revenue", "user/name" }

// Get all action names
const actions = collectActions(spec);
// Set { "submit_form", "refresh_data" }

Serialization

import {
  serializePropValue,
  serializeProps,
  escapeString,
  type SerializeOptions,
} from "@json-render/codegen";

// Serialize a single value
serializePropValue("hello");
// { value: '"hello"', needsBraces: false }

serializePropValue({ $state: "/user/name" });
// { value: '{ $state: "/user/name" }', needsBraces: true }

// Serialize props for JSX
serializeProps({ title: "Dashboard", columns: 3, disabled: true });
// 'title="Dashboard" columns={3} disabled'

// Escape strings for code
escapeString('hello "world"');
// 'hello \"world\"'

SerializeOptions

interface SerializeOptions {
  quotes?: "single" | "double";
  indent?: number;
}

Types

import type { GeneratedFile, CodeGenerator } from "@json-render/codegen";

const myGenerator: CodeGenerator = {
  generate(spec) {
    return [
      { path: "package.json", content: "..." },
      { path: "app/page.tsx", content: "..." },
    ];
  },
};

Building a Custom Generator

import {
  collectUsedComponents,
  collectStatePaths,
  traverseSpec,
  serializeProps,
  type GeneratedFile,
} from "@json-render/codegen";
import type { Spec } from "@json-render/core";

export function generateNextJSProject(spec: Spec): GeneratedFile[] {
  const files: GeneratedFile[] = [];
  const components = collectUsedComponents(spec);
  // Generate package.json, component files, main page...
  return files;
}

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Steps

  1. 1Install product management skill
  2. 2Start with user story generation for known feature
  3. 3Progress to competitive analysis: research 2-3 competitors
  4. 4Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5Draft stakeholder communications and refine based on feedback
  6. 6Build template library for recurring PM tasks
  7. 7Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use when

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid when

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Related Skills

Reviews

4.663 reviews
  • C
    Chaitanya PatilDec 28, 2024

    We added codegen from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • K
    Kwame SanchezDec 24, 2024

    codegen has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • V
    Valentina MartinDec 24, 2024

    Useful defaults in codegen — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • L
    Lucas VermaDec 24, 2024

    Solid pick for teams standardizing on skills: codegen is focused, and the summary matches what you get after install.

  • V
    Valentina TorresDec 20, 2024

    codegen reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • A
    Aanya VermaDec 16, 2024

    codegen fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • A
    Ama ChoiDec 12, 2024

    We added codegen from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • A
    Arjun GhoshNov 23, 2024

    codegen fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • P
    Piyush GNov 19, 2024

    codegen reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • W
    William DialloNov 15, 2024

    I recommend codegen for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

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