How does the reverse-review process work?

The skill performs a consistency check from Tasks to Design to Requirements. This ensures every code task is backed by a design element, and every design element fulfills a specific requirement, preventing scope creep.

What is EARS notation in this skill?

EARS (Easy Approach to Requirements Syntax) is a structured way of writing requirements to make them clear and testable. This skill uses it to define system behavior based on events, conditions, and states.

What is the 'Ask-Before-Assume' principle?

To prevent errors, the skill identifies 'Unknown' information in your instructions. If a technical detail is missing, it will ask for clarification rather than making a guess that could lead to bugs.

Does it support Japanese language documentation?

Yes, the skill is fully optimized for Japanese language documentation and includes templates specifically designed for Japanese development workflows.

SDD Documentation Manager

Name: SDD Documentation Manager
Author: windschord

bywindschord

Content Management

Generates and maintains structured Software Design Documents (SDD) using EARS notation and integrated task tracking.

About

SDD Documentation Manager (sdd-docs) is a specialized tool for Claude Code that automates the creation and management of comprehensive Software Design Documents. It enforces a high-standard documentation workflow by maintaining three core files: requirements.md (using EARS notation for clarity), design.md (for technical architecture), and tasks.md (for AI-actionable implementation steps). The skill prioritizes consistency through a 'reverse-review' process and eliminates development errors by classifying information into explicit vs. unknown categories, ensuring you never build on top of unverified assumptions.

Key Features

Automated generation of technical architecture and design decision logs
0 GitHub stars
Bidirectional consistency checks between requirements, design, and execution
EARS-compliant requirements engineering for unambiguous, testable user stories
AI-optimized task decomposition with detailed acceptance criteria
Information classification system to identify and resolve project unknowns

Use Cases

Refactoring vague project specs into rigorous, EARS-formatted technical requirements
Initializing a new software project with a standardized, professional documentation structure
Synchronizing implementation tasks with architectural changes during active development

About

Key Features

Automated generation of technical architecture and design decision logs
0 GitHub stars
Bidirectional consistency checks between requirements, design, and execution
EARS-compliant requirements engineering for unambiguous, testable user stories
AI-optimized task decomposition with detailed acceptance criteria
Information classification system to identify and resolve project unknowns

Use Cases

Refactoring vague project specs into rigorous, EARS-formatted technical requirements
Initializing a new software project with a standardized, professional documentation structure
Synchronizing implementation tasks with architectural changes during active development