Gigaspec

Gigaspec

An AI-native specification framework that enables deep requirements analysis and structured project planning through intelligent Q\&A workflows. The MCP server provides tools for project initialization, requirement analysis, and the generation of living documentation like development plans and architecture specs.

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<img src="logo.svg" alt="Gigaspec Logo" width="120" height="120">

๐Ÿš€ Gigaspec

AI-Native Specification Framework

npm License Node.js Tests

The AI does the thinking. We provide the structure.

Installation โ€ข Quick Start โ€ข Documentation โ€ข GitHub

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๐ŸŽฏ What is Gigaspec?

Gigaspec is an AI-native collaboration framework that transforms how software projects are planned and built. Instead of static templates or keyword-based recommendations, Gigaspec enables deep AI analysis of your requirements with intelligent Q&A workflows.

The Problem with Traditional Tools

User: "I want to build a real-time collaborative app"
Traditional Tool: "Use Elixir!" โ† No questions, no reasoning

The Gigaspec Way

User: "I want to build a real-time collaborative app"
AI: "Tell me more! What's your expected user count? Do you need 
     offline support? What's your team's expertise?"
     
     โ†’ Analyzes deeply
     โ†’ Explains reasoning  
     โ†’ Recommends tailored stack

โœจ Features

Feature Description
๐Ÿš€ Gigaspec v5.0 Ultimate spec kit with forced AI compliance
๐Ÿ”’ Immutable Rules CLAUDE.md enforces standards that AI cannot override
โœ… Automated Verification Every code change validated before completion
๐Ÿ› ๏ธ Universal Tool Support Claude Code, Cursor, Kimi adapters
๐ŸŒ Model-Agnostic Works with Claude, GPT, Gemini, Llama
๐Ÿค– AI-Native Workflow Designed for AI assistants to drive development
๐Ÿ’ฌ Intelligent Q&A AI asks clarifying questions, not keyword matching
๐Ÿ“‹ Living Documentation STATE.md tracks progress, AGENT.md guides AI coding
๐ŸŽฏ Stack Recommendations Deep analysis with transparent reasoning
๐Ÿ”ง MCP Server Native integration with AI IDEs
๐Ÿ“ฆ Zero Config Works out of the box with sensible defaults

๐Ÿš€ Quick Start

Installation

# Global installation
npm install -g gigaspec

# Or use without installing
npx gigaspec init --name "MyApp"

Create Your First Project

# Interactive AI-guided wizard
gigaspec init

# Or specify your stack directly
gigaspec init --name "MyApp" --stack "Node.js/Next.js"

# Non-interactive with defaults
gigaspec init --name "MyApp" --yes

# Generate v5.0 Ultimate Spec Kit (RECOMMENDED)
gigaspec generate --name "MyApp" --stack "Node.js/Express" --v5

๐Ÿš€ Gigaspec v5.0 (Ultimate Spec Kit)

The specification framework that forces AI compliance.

# Generate v5.0 spec kit with immutable rules
gigaspec generate --name "MyApp" --stack "Node.js/Express" --v5

What makes v5.0 different:

  • CLAUDE.md - Immutable system rules that AI cannot override
  • Automated Verification - Every code change validated
  • Multi-Tool Adapters - Claude Code, Cursor, Kimi support
  • Model-Agnostic - Works with any LLM

Generated v5.0 Structure:

my-project/
โ”œโ”€โ”€ CLAUDE.md          โ† IMMUTABLE system rules (AI cannot override)
โ”œโ”€โ”€ AGENT.md           โ† Project-specific standards
โ”œโ”€โ”€ STATE.md           โ† Living project status
โ”œโ”€โ”€ ARCHITECTURE.md    โ† System design
โ”œโ”€โ”€ PLAN.md            โ† Development roadmap
โ”œโ”€โ”€ RULES/             โ† Modular rule modules
โ”‚   โ”œโ”€โ”€ security.md
โ”‚   โ””โ”€โ”€ testing.md
โ”œโ”€โ”€ .claude/           โ† Claude Code adapter
โ”‚   โ”œโ”€โ”€ CLAUDE.md
โ”‚   โ”œโ”€โ”€ skills/
โ”‚   โ””โ”€โ”€ agents/
โ”œโ”€โ”€ .cursorrules       โ† Cursor IDE adapter
โ”œโ”€โ”€ .cursor/
โ”‚   โ””โ”€โ”€ agents/
โ””โ”€โ”€ .kimi/             โ† Kimi CLI adapter
    โ””โ”€โ”€ AGENT.md

What Gets Created (v4.x)

my-project/
โ”œโ”€โ”€ AGENT.md           โ† AI coding standards & constraints
โ”œโ”€โ”€ ARCHITECTURE.md    โ† System design & decisions  
โ”œโ”€โ”€ PLAN.md            โ† Development roadmap
โ”œโ”€โ”€ STATE.md           โ† Project status (living document)
โ”œโ”€โ”€ WORKFLOW.md        โ† AI development protocols
โ”œโ”€โ”€ SETUP.md           โ† Local development guide
โ”œโ”€โ”€ DEPLOYMENT.md      โ† Production deployment
โ”œโ”€โ”€ ENVIRONMENT.md     โ† Secrets & configuration
โ”œโ”€โ”€ CLAUDE.md          โ† Claude Code integration guide
โ”œโ”€โ”€ .cursorrules       โ† Cursor IDE rules
โ”œโ”€โ”€ .github/workflows/ โ† CI/CD automation
โ”œโ”€โ”€ .hooks/            โ† Git hooks
โ”œโ”€โ”€ scripts/           โ† Utility scripts
โ””โ”€โ”€ prompts/           โ† AI prompt templates

๐Ÿค– For AI Assistants

Gigaspec works both as a CLI tool (for humans) and an MCP server (for AI IDEs). Use whichever fits your workflow:

  • CLI: Run gigaspec commands directly in terminal
  • MCP: AI assistants use tools via MCP integration

All CLI commands support --json for structured output:

# Start AI workflow
gigaspec init --json

# Get current task to implement  
gigaspec continue --json

# Verify code compliance
gigaspec verify --json

MCP Integration

Gigaspec includes an MCP (Model Context Protocol) server for AI IDEs like Kimi, Claude Desktop, and Cline.

Configuration

Add to your AI IDE's MCP settings:

Option 1: Global Install (Recommended)

npm install -g gigaspec

Then configure your AI IDE:

Kimi Desktop (~/.kimi/mcp.json):

{
  "mcpServers": {
    "gigaspec": {
      "command": "gigaspec-mcp"
    }
  }
}

Claude Desktop (%APPDATA%/Claude/claude_desktop_config.json on Windows):

{
  "mcpServers": {
    "gigaspec": {
      "command": "gigaspec-mcp"
    }
  }
}

Option 2: Using npx (No Install)

{
  "mcpServers": {
    "gigaspec": {
      "command": "npx",
      "args": ["-y", "gigaspec-mcp"]
    }
  }
}

Option 3: Local Development (Project Path)

When developing gigaspec itself or using a local copy:

{
  "mcpServers": {
    "gigaspec": {
      "command": "node",
      "args": [
        "./bin/mcp-server.js"
      ],
      "env": {}
    }
  }
}

Available Tools

Once configured, your AI assistant can use:

  • gigaspec-init โ€” Initialize project
  • gigaspec-analyze โ€” Create analysis prompt
  • gigaspec-generate โ€” Generate specification files
  • gigaspec-status โ€” Get project status
  • gigaspec-wizard โ€” Interactive project setup

๐Ÿ“š Commands

Core Commands

Command Description
gigaspec init Initialize project with AI collaboration framework
gigaspec analyze "<description>" Create analysis prompt for AI
gigaspec generate Generate specification files
gigaspec status Show current project status
gigaspec continue Get next development task
gigaspec verify Verify code against AGENT.md

Options

# JSON output for AI consumption
gigaspec init --name "MyApp" --json

# Specify stack
gigaspec init --name "MyApp" --stack "Elixir/Phoenix"

# With all options
gigaspec init \
  --name "MyApp" \
  --stack "Node.js/Express" \
  --database "PostgreSQL" \
  --deploy "Railway" \
  --yes

๐ŸŽ“ How It Works

1. Describe Your Project

"I want to build a math learning app for kids"

2. AI Analyzes Deeply

The AI receives a structured prompt and:

  • โœ… Analyzes core requirements
  • โœ… Identifies user types and scale
  • โœ… Considers technical challenges
  • โœ… Asks clarifying questions

3. Intelligent Q&A

AI: "I have some questions to better understand your needs:

1. What age range are you targeting?
2. Do you need offline capability?  
3. Will this be free or subscription?
4. Any compliance requirements (COPPA)?"

4. Tailored Recommendations

AI: "Based on your answers, I recommend:

Stack: Next.js 14 with PWA capabilities
Why: PWA gives offline capability, Next.js excels at interactive content

Database: PostgreSQL via Supabase  
Why: Built-in realtime for progress sync, COPPA compliance features

Services: Clerk (COPPA-compliant auth), Stripe (payments)"

5. Generate & Build

gigaspec generate --stack "Next.js 14" --name "MathLearn"

๐Ÿ†š Comparison

Traditional Tools Gigaspec
Analysis Keyword matching Deep AI reasoning
Questions None Intelligent Q&A
Explanations "Use X" "Use X because of Y"
Tailored One-size-fits-all Project-specific
AI Workflow Not designed for AI Built for AI collaboration

๐Ÿ“ Project Structure

When you run gigaspec init, you get a complete specification framework:

๐Ÿ“ฆ my-project/
โ”œโ”€โ”€ ๐Ÿ“„ AGENT.md              AI coding standards (the "rulebook")
โ”œโ”€โ”€ ๐Ÿ“„ ARCHITECTURE.md       System design & tech decisions
โ”œโ”€โ”€ ๐Ÿ“„ PLAN.md               Development phases & milestones
โ”œโ”€โ”€ ๐Ÿ“„ STATE.md              Current status & next tasks
โ”œโ”€โ”€ ๐Ÿ“„ WORKFLOW.md           AI collaboration protocols
โ”œโ”€โ”€ ๐Ÿ“„ SETUP.md              Environment setup guide
โ”œโ”€โ”€ ๐Ÿ“„ DEPLOYMENT.md         Production deployment
โ”œโ”€โ”€ ๐Ÿ“„ ENVIRONMENT.md        Secrets & configuration
โ”œโ”€โ”€ ๐Ÿ“„ CLAUDE.md             Claude Code integration
โ”œโ”€โ”€ โš™๏ธ  .cursorrules          Cursor IDE rules
โ”œโ”€โ”€ ๐Ÿ—‚๏ธ  .github/workflows/    CI/CD automation
โ”œโ”€โ”€ ๐Ÿ—‚๏ธ  .hooks/               Git hooks
โ”œโ”€โ”€ ๐Ÿ—‚๏ธ  scripts/              Utility scripts
โ””โ”€โ”€ ๐Ÿ—‚๏ธ  prompts/              AI prompt templates

๐Ÿงช Example Walkthrough

See EXAMPLE.md for a complete walkthrough of building a math learning app, including:

  • Initial project description
  • AI analysis and questions
  • Stack recommendation with reasoning
  • Full specification generation
  • Development workflow

๐Ÿ”ง Requirements

  • Node.js >= 16.0.0
  • npm or yarn

๐Ÿ“„ License

Apache License 2.0 โ€” see LICENSE file for details.


<div align="center">

Made with โค๏ธ for AI-human collaboration

โญ Star us on GitHub โ€ข ๐Ÿ› Report Issues

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