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Generic Fullstack Code Reviewer

Community
travisjneuman
generic-fullstack-code-reviewer

Review full-stack code for bugs, security vulnerabilities, performance issues, accessibility gaps, and CLAUDE.md compliance. Enforces TypeScript strict mode, input validation, GPU-accelerated animations, and design system consistency. Use when completing features, before commits, or reviewing pull requests.

Overview

Publishertravisjneuman
Repository.claude
Skill namegeneric-fullstack-code-reviewer
Stars
98
Forks
22
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Generic Fullstack Code Reviewer 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.
  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/travisjneuman/.claude.git /tmp/.claude
mkdir -p .claude/skills
cp -r /tmp/.claude/skills/generic-fullstack-code-reviewer .claude/skills/generic-fullstack-code-reviewer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Generic Fullstack Code Reviewer 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 Generic Fullstack Code Reviewer 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 Generic Fullstack Code Reviewer 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.

Fullstack Code Reviewer

Review Next.js/NestJS code against production quality standards.

Extends: Generic Code Reviewer - Read base skill for full code review methodology, P0/P1/P2 priority system, and judgment calls.

Pre-Commit Commands

bash
# Frontend
npm run build        # Next.js build
npm run lint         # ESLint

# Backend
npm run test         # NestJS tests
npm run type-check   # TypeScript

Fullstack-Specific Checks

Backend (NestJS)

Authentication & Authorization:

typescript
// Protected routes MUST have auth guard
@UseGuards(JwtAuthGuard)
@Get('profile')
getProfile(@CurrentUser() user: User) {
  return this.userService.findById(user.id);
}

Input Validation (DTOs):

typescript
// All inputs validated via class-validator
export class CreateUserDto {
  @IsEmail()
  email: string;

  @IsString()
  @MinLength(8)
  password: string;
}

Database Safety:

typescript
// Use Prisma, never raw SQL
// ✓ Good
await this.prisma.user.findUnique({ where: { id } });

// ✗ Bad
await this.prisma.$queryRaw`SELECT * FROM users WHERE id = ${id}`;

Frontend (Next.js)

Server vs Client Components:

typescript
// Default: Server Component (can fetch data, no hooks)
export default async function Page() {
  const data = await getData();
  return <div>{data}</div>;
}

// Client: Interactive (hooks, event handlers)
'use client';
export default function Interactive() {
  const [state, setState] = useState();
  return <button onClick={() => setState(...)}>Click</button>;
}

API Route Patterns:

typescript
// app/api/[route]/route.ts
export async function POST(request: Request) {
  const body = await request.json();
  // Validate body before processing
  return NextResponse.json({ success: true });
}

Cross-Stack Consistency

Shared Types:

typescript
// types/api.ts - Shared between frontend/backend
interface UserResponse {
  id: string;
  email: string;
  createdAt: string;
}

API Contract:

  • Request DTOs match frontend payloads
  • Response types match frontend expectations
  • Error format consistent (status, message, errors[])

Environment & Secrets

bash
# .env (never committed)
DATABASE_URL=postgres://...
JWT_SECRET=...

# Check .env.example exists with placeholder values
# Verify .gitignore includes .env

Prisma Checks

bash
# After schema changes
npx prisma migrate dev --name description
npx prisma generate
  • Migrations are reversible
  • Types regenerated after schema changes
  • Relations properly defined

Testing Requirements

Backend:

  • Unit tests for services
  • E2E tests for API endpoints
  • Mocked database for tests

Frontend:

  • Component tests for interactivity
  • API mocking for integration tests

Quick Fullstack Checklist

  • Auth guards on protected routes
  • DTOs validate all inputs
  • No raw SQL queries
  • Shared types match
  • .env not committed
  • Prisma types current

See Also

Frequently asked questions

What does the Generic Fullstack Code Reviewer AI skill do?

Review full-stack code for bugs, security vulnerabilities, performance issues, accessibility gaps, and CLAUDE.md compliance. Enforces TypeScript strict mode, input validation, GPU-accelerated animations, and design system consistency. Use when completing features, before commits, or reviewing pull requests.

Why use Generic Fullstack Code Reviewer on TypingMind?

Because you install it once and use it with any model. Generic Fullstack Code Reviewer 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 Generic Fullstack Code Reviewer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/travisjneuman/.claude/tree/master/skills/generic-fullstack-code-reviewer. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Generic Fullstack Code Reviewer?

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 Generic Fullstack Code Reviewer?

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

Is the Generic Fullstack Code Reviewer AI skill free?

Yes. It is published on GitHub by travisjneuman 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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