bmad-quick-spec

Generate implementation-ready technical specifications for small code changes.

Updated Jan 21, 2026
One-click install
npx skills add https://github.com/zerAda/RestaurantAgentAutomation --skill bmad-quick-spec-zerada
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bmad-quick-spec
Source: https://github.com/zerAda/RestaurantAgentAutomation/tree/main/_bmad/bmm/workflows/bmad-quick-flow/bmad-quick-spec
Command: npx skills add https://github.com/zerAda/RestaurantAgentAutomation --skill bmad-quick-spec-zerada

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the creation of technical specifications for small changes or features, reducing the time and effort required for documentation.

Core Features & Use Cases

  • Conversational Discovery: Interact with the Skill to capture requirements and context.
  • Code Investigation: Perform surface-level code scans to understand the landscape.
  • Structured Documentation: Generate a comprehensive technical specification document.
  • Use Case: When a developer needs to implement a small feature or change, this Skill can quickly generate a detailed spec that outlines the requirements, constraints, and implementation plan.

Quick Start

Run the bmad-quick-spec skill to start the workflow and generate a tech spec for your feature.

Frequently Asked Questions about bmad-quick-spec

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

FAQPage Schema
How do I generate a technical specification for a small feature quickly?

This conversational discovery process captures your context and requirements, performs surface-level code investigation, and outputs a structured technical specification document for your small feature.

What is the best way to document small code changes before implementation?

The best way to document small code changes is to use a specification generation process that combines conversational discovery with code investigation to produce implementation-ready technical documentation outlining requirements, constraints, and the implementation plan.

Do I need an existing codebase to generate implementation-ready technical specifications?

Yes, you need an existing codebase with known patterns to generate implementation-ready technical specifications, as the process relies on surface-level code scans and requires a user who can provide specific context and requirements for the feature.

How does code investigation work when generating a tech spec?

Code investigation works by performing surface-level code scans to understand the landscape and existing patterns within your codebase, which then informs the structured technical specification document generated during the conversational discovery process.

When should I not use automated specification generation for software development?

You should not use automated specification generation if your codebase lacks established patterns, or if you cannot provide the necessary context and requirements, as the process depends on surface-level code investigation and conversational discovery to produce accurate documentation.