spec-craft 0.1.2

Obsidian-based Spec-Driven Development (SDD) toolkit with MCP and spec-kit integration.

Spec-Craft

Obsidian-based Spec-Driven Development (SDD) toolkit with MCP and spec-kit integration.

Concept

spec-craft is a bridge between high-level roadmaps in Obsidian and tactical implementation using spec-kit.

Strategy vs Tactics

• Strategy (Obsidian): Defines the "What" and "Why". It holds the project's soul, long-term roadmap, and domain-specific principles (Manga storyboards, CAD logic, Blender Bonkei rules, etc.).
• Tactics (spec-kit): Defines the "How". It executes iterative SDD cycles (Specify → Plan → Implement) to generate concrete code and assets based on the strategy.

Installation

uv sync
pip install -e .

spec-kit Extension Setup

To enable slash commands (e.g., /speckit.obsidian-analyze), copy the extension/ folder to your project's .specify/extensions/spec-craft/ directory.

Discovery

Find more AI agent extensions at the official registry: geminicli.com/extensions/.

Automated Release Process

Spec-Craft uses GitHub Actions for CI/CD:

• Testing: Every push/PR triggers a test matrix across Python 3.10-3.12.
• Publishing: Pushing a tag matching v* automatically builds and publishes the package to PyPI using Trusted Publishing.

Usage

Build Output Organization

All generated assets are stored in the build/ directory:

• build/manga/<lang>/: Translated SVG scenes.
• build/cad/universal/: Parametric STL models and SVG projections.
• build/3d/universal/: Blender Python scripts for scene construction.

3D Preview

To view your generated CAD models interactively, run:

spec-craft browse

This starts a local server and opens a Three.js viewer. You can load specific models using query parameters: http://localhost:8080/?model=cad/universal/my_part.stl.

Visual Feedback Loop

When triggering a CAD build or rendering a 3D scene, spec-craft can generate SVG projections. These are ideal for AI vision analysis, allowing your agent to "see" the dimensions and propose improvements.

Isolated AI Editing

Spec-Craft provides a dedicated Emacs sandbox for AI agents. This environment is isolated from your personal configuration and comes pre-configured with LSP (Eglot) and Linting (Flymake) support to ensure high-quality code generation.

Transparent Tactical Workflow

Spec-Craft prioritizes transparency and security for project operations. Instead of executing sensitive tasks (like branch creation or planning) in the background, your AI agent will read the spec-kit definitions and propose the exact command for you to run. This ensures that interactive events, such as SSH password prompts, are handled safely by you in your own terminal.

Usage

CLI

spec-craft --version
spec-craft serve

MCP Server

Register the server in your MCP client (e.g., Claude Desktop, Gemini CLI) using:

{
  "mcpServers": {
    "spec-craft": {
      "command": "spec-craft",
      "args": ["serve"]
    }
  }
}