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Nodejs Pro Max

Organization
vurakit
nodejs-pro-max

Node.js & TypeScript development intelligence. 12 domains, 12 stacks, 300+ entries. Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check Node code. Domains: pattern, package, error, perf, test, async, arch, idiom, anti, tooling, module, typescript. Stacks: web-express, web-fastify, web-hono, web-nestjs, web-nextjs, web-remix, orm-prisma, orm-drizzle, auth, database, realtime, graphql. Integrations: arch_system generator.

Overview

Publishervurakit
Repositoryagentup
Skill namenodejs-pro-max
Stars
56
Forks
14
Bundled files
33
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 33 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by vurakit on GitHub. Read the source before you install it.

Installation

Install the Nodejs Pro Max AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/vurakit/agentup/tree/main/skills/nodejs
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/vurakit/agentup.git /tmp/agentup
mkdir -p .claude/skills
cp -r /tmp/agentup/skills/nodejs .claude/skills/nodejs-pro-max
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nodejs Pro Max in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Nodejs Pro Max on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Nodejs Pro Max is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

NodeJS Pro Max - Backend Generator

When User Requests Node.js / TypeScript Work

Follow this workflow for every Node.js-related task:

1. Analyze Requirements

Extract from the user's request:

  • Project type: REST API, GraphQL, microservice, serverless, full-stack framework
  • Domain: web, database, realtime, auth
  • Scale: small project, enterprise, library

Default Stack (always use unless user specifies otherwise)

ComponentDefaultPackage
LanguageTypeScripttypescript (strict mode)
RouterHonohono
DatabasePostgreSQLpg
ORMDrizzle ORMdrizzle-orm
ValidationZodzod
TestingVitestvitest
DeployDockerDockerfile

Project structure: Domain-driven layout:

src/index.ts
src/app.ts
src/config/      — env config & setup (zod validation)
src/routes/      — API route definitions
src/controllers/ — Request handlers
src/services/    — business logic
src/models/      — TS interfaces / DB schema
src/middlewares/ — auth, error, logging
src/utils/       — helpers
package.json
tsconfig.json
Dockerfile

2. Generate Architecture System (REQUIRED for new projects)

bash
python3 skills/nodejs/scripts/search.py "<project description>" --arch-system -p "ProjectName"

This gives you: architecture, packages, error strategy, patterns, structure, testing approach.

3. Supplement with Domain Searches

Based on the project needs, search relevant domains:

bash
# Patterns for the task
python3 skills/nodejs/scripts/search.py "repository pattern" --domain pattern

# Package recommendations
python3 skills/nodejs/scripts/search.py "schema validation" --domain package

# Async / Concurrency patterns
python3 skills/nodejs/scripts/search.py "promise all settled" --domain async

# Performance tips
python3 skills/nodejs/scripts/search.py "event loop blocking" --domain perf

# Typescript best practices
python3 skills/nodejs/scripts/search.py "utility types" --domain typescript

4. Stack Guidelines

If using a specific framework/stack:

bash
python3 skills/nodejs/scripts/search.py "global error handler" --stack web-express
python3 skills/nodejs/scripts/search.py "server components" --stack web-nextjs
python3 skills/nodejs/scripts/search.py "relations eager loading" --stack orm-prisma

5. Implement

Apply all recommendations from the search results:

  • Use recommended architecture and project structure
  • Apply TS patterns (Discriminated unions, Utility types)
  • Follow error handling strategy (Centralized error handler, operational vs programmer errors)
  • Implement proper async patterns (avoid .then(), use async/await)
  • Add tests using Vitest or Jest.

6. Always Generate Docker Files

Every project MUST include these files:

Dockerfile (multi-stage build):

dockerfile
# Builder stage
FROM node:20-alpine AS builder
WORKDIR /app
COPY package*.json ./
RUN npm ci
COPY . .
RUN npm run build

# Runtime stage
FROM node:20-alpine
WORKDIR /app
COPY package*.json ./
RUN npm ci --omit=dev
COPY --from=builder /app/dist ./dist
EXPOSE 3000
CMD ["node", "dist/index.js"]

Pre-Delivery Checklist

Before delivering Node.js/TS code, verify:

  • tsc --noEmit passes
  • npm run lint catches no warnings
  • npm run test passes
  • No any types used in new code (use unknown or specific types)
  • Async functions properly awaited; no floating promises
  • Unhandled promise rejections properly caught
  • Centralized error handler catches routes errors
  • .env variables validated on startup (e.g. using Zod)

Quick Domain Reference

DomainWhen to Search
patternNeed a design pattern (repository, dependency injection)
packageChoosing a library/package for a use case
errorError handling strategy, custom error classes
perfPerformance optimization, memory leaks, event loop
testTesting approach, mocking, e2e vs unit
asyncPromises, event emitters, streams, worker threads
typescriptTS features, generic types, strict mode
archProject structure, clean architecture
idiomNode.js conventions, naming
antiAvoiding common mistakes
toolingESLint, Prettier, tsconfig options
moduleES modules vs CommonJS

Resources

  • scripts/: BM25 search engine, architecture system generator
  • data/: 12 domains and 12 stacks with curated Node.js/TS entries

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Nodejs Pro Max AI skill do?

Node.js & TypeScript development intelligence. 12 domains, 12 stacks, 300+ entries. Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check Node code. Domains: pattern, package, error, perf, test, async, arch, idiom, anti, tooling, module, typescript. Stacks: web-express, web-fastify, web-hono, web-nestjs, web-nextjs, web-remix, orm-prisma, orm-drizzle, auth, database, realtime, graphql. Integrations: arch_system generator.

Why use Nodejs Pro Max on TypingMind?

Because you install it once and use it with any model. Nodejs Pro Max is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Nodejs Pro Max in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vurakit/agentup/tree/main/skills/nodejs. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Nodejs Pro Max?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Nodejs Pro Max?

As many as you like. As long as a model supports skills, you can use Nodejs Pro Max with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Nodejs Pro Max AI skill free?

Yes. It is published on GitHub by vurakit under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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