tech-stack-orchestrator

Analyze project requirements to recommend and assemble Claude Code component configurations.

Updated Dec 15, 2025
One-click install
npx skills add https://github.com/jhillbht/hackathon-clipper-program --skill tech-stack-orchestrator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tech-stack-orchestrator
Source: https://github.com/jhillbht/hackathon-clipper-program/tree/main/tech-stack-orchestrator
Command: npx skills add https://github.com/jhillbht/hackathon-clipper-program --skill tech-stack-orchestrator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Designing an optimal AI development stack with Claude Code components (Agents, Commands, Hooks, Settings, MCPs, Skills) can be complex. Identifying the right tools, ensuring synergy, and avoiding gaps requires deep expertise. This Skill automates the analysis, recommendation, and creation of tailored AI tech stacks, ensuring you build efficiently and effectively.

Core Features & Use Cases

  • Project Analysis & Recommendation: Analyzes project requirements (type, technologies, workflows) to recommend a complete AI tech stack, including existing and custom components.
  • Custom Component Creation: Guides the creation of new Agents, Commands, Settings, Hooks, MCPs, and Skills with best practices and templates, ensuring consistency and quality.
  • Effectiveness Evaluation: Provides a structured analysis of the recommended stack's coverage, synergy, and efficiency before building, minimizing rework.
  • Installation Generation: Generates npx organized-ai install commands for selected components, streamlining setup and accelerating project initialization.
  • Use Case: When starting a new web application project using React and Node.js, you can ask: "Analyze this project and recommend a tech stack: Project type: web app, Technologies: React, Node.js, Key workflows: UI development, API integration, testing, CI/CD." The skill will provide a comprehensive recommendation, including specific Agents, Commands, Hooks, Settings, MCPs, and Skills, along with an installation command.

Quick Start

Ask the AI: Analyze this project and recommend a tech stack: Project type: CLI tool, Technologies: Python, Key workflows: data processing, file I/O.

Frequently Asked Questions about tech-stack-orchestrator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a complete AI development stack with Claude Code components?

Analyze your project requirements to assemble Claude Code components—Agents, Commands, Hooks, Settings, MCPs, and Skills—that work together. This Skill automates stack recommendation and component creation, ensuring synergy and eliminating gaps in your AI development setup.

What's the best way to choose between different Agents, Commands, and MCP configurations for my project?

Provide your project type, technologies, and workflows to receive tailored recommendations evaluated for coverage, compatibility, and efficiency. The Skill analyzes requirements and ranks components by fit before you build, minimizing rework.

Can I generate installation commands for multiple Claude Code components at once?

Yes. After the Skill recommends your tech stack, it generates npx organized-ai install commands for selected components, streamlining setup and accelerating project initialization in one step.

How do I create custom Agents, Hooks, or Skills that fit my specific workflows?

The Skill guides custom component creation with best practices and templates, ensuring consistency and quality. It handles requirements analysis, design patterns, and deployment considerations for agents, commands, settings, hooks, MCPs, and skills.

What information do I need to provide for an accurate stack recommendation?

Supply your project type (web app, CLI tool, etc.), core technologies (React, Node.js, Python), and key workflows (UI development, data processing, CI/CD). The Skill uses this to recommend compatible components and generate installation sequences.

Does this approach work for both small scripts and large-scale AI development projects?

Yes. The Skill scales across project sizes by analyzing requirements and recommending appropriately-scoped components, whether you're building a CLI tool, web application, or complex multi-agent system with MCP integrations.