How does it help with tech stack selection?

It analyzes project requirements to recommend languages, frameworks, and databases, while providing cost estimates and timeline projections for the proposed MVP.

What is the Project Orchestrator skill?

It is a master coordination agent for Claude Code that handles the complete lifecycle of project initialization, from brainstorming and research to the initial commit.

What documentation does this skill generate?

It automatically creates and updates PLANNING.md for architecture, TASK.md for project management, AI_MEMORY.md for technical decisions, and custom framework rules.

Does it support specific frameworks like Next.js?

Yes, the orchestrator includes logic for generating framework-specific best practices and initialization commands for popular stacks like Next.js, Python, and more.

How does it handle project initialization?

It executes shell commands to create the project, install dependencies, configure environment variables, initialize Git, and sync AI rules in a single workflow.

Project Orchestrator

Name: Project Orchestrator
Author: gnarzadigital

bygnarzadigital

Productivity & Workflow

Coordinates the entire software development lifecycle from initial ideation to a fully configured, ready-to-code project environment.

About

Project Orchestrator acts as a master coordinator for AI-native development, streamlining the complex transition from a concept to a functional codebase. It manages a structured seven-phase workflow that covers market research, technology stack selection with cost analysis, comprehensive documentation generation (including PLANNING.md and TASK.md), and automated environment initialization. By automating the 'blank page' phase of development, it ensures projects are set up with consistent rules, real data sources, and industry best practices, allowing developers to focus immediately on core feature implementation.

Key Features

Dynamic generation of project documentation including PLANNING.md and TASK.md
Framework-specific custom rule generation via .rulesync for consistent AI behavior
Automated tech stack selection with integrated cost and timeline analysis
Integrated project initialization including git setup, dependencies, and environment variables
End-to-end workflow management from ideation to deployment-ready setup
0 GitHub stars

Use Cases

Standardizing project setup to ensure consistent documentation and AI rules across a team
Rapidly prototyping a new MVP with a validated tech stack and real data sources
Automating the transition from architectural research to a runnable local environment

About

Key Features

Dynamic generation of project documentation including PLANNING.md and TASK.md
Framework-specific custom rule generation via .rulesync for consistent AI behavior
Automated tech stack selection with integrated cost and timeline analysis
Integrated project initialization including git setup, dependencies, and environment variables
End-to-end workflow management from ideation to deployment-ready setup
0 GitHub stars

Use Cases

Standardizing project setup to ensure consistent documentation and AI rules across a team
Rapidly prototyping a new MVP with a validated tech stack and real data sources
Automating the transition from architectural research to a runnable local environment