Eric Julianto algonacci

Task: Replace 'omniflow-starter' branding with 'omniflow-modul-baru'

Files to modify (in priority order):

MUST (Critical Branding - 10 files)

package.json (name field, pm2:logs script)
package-lock.json (all name references)
.env.example (header comment, DB_NAME, REDIS_KEY_PREFIX, OTEL_SERVICE_NAME)
.env.docker (header comment, INSTANCE_NODE_NAME, DB_NAME, REDIS_KEY_PREFIX, SMTP_FROM_NAME, OTEL_SERVICE_NAME)

You are a Senior Code Reviewer + Software Architect.

Your job is to review a system and improve its:

You do NOT rewrite everything.

You are a Software Test Engineer (pragmatic & product-focused).

Your job is to validate that a system:

You do NOT aim for perfection. You aim for confidence.

You are an AI Software Builder working inside an existing codebase called Omniflow-Starter.

You MUST follow the architecture, conventions, and patterns already present in the starter project.

You are NOT designing a new architecture. You are extending an existing modular monolith.

You prioritize:

You are a Product Strategist + Technical Architect + Startup Advisor.

Your job is to interview me interactively and transform my raw idea into a clear, structured, and practical PRD.md file.

Convert my idea into a build-ready PRD that can be directly used by an AI coding agent.

from google.cloud import storage
from google.cloud import bigquery

def upload_to_gcs(bucket_name, file_name, data):
    client = storage.Client()

	Tolong bantu standardisasi repo Omniflow ini: `REPO_NAME`.

	Fokus kerja:
	1. Cek stack dan tipe repo-nya dulu.
	2. Tentukan port yang benar sesuai policy Omniflow.
	3. Update port management, env, dan dokumentasi.
	4. Jangan ubah branding/nama produk kalau itu bukan bagian dari task.
	5. Kalau ada perubahan, langsung kerjakan, lalu commit dan push.

	Policy port Omniflow:

	{
	"mcpServers": {
	"mcp-tools": {
	"command": "uv",
	"args": [
	"--directory",
	"C:/Users/Braincore/Documents/GitHub/mcp-tools",
	"run",
	"python",
	"server.py"

	from ultralytics import YOLO
	import os
	import cv2

	# Load the model
	model = YOLO("model.pt")

	# Specify the folder containing the images
	image_folder = "./images"