Does Feature Forge actually write the implementation code?

No, Feature Forge is a design-phase specialist. It creates the detailed blueprint and specifications that developers or implementation-focused AI skills use to build the feature correctly.

How does Feature Forge benefit the development process?

It identifies edge cases, security needs, and performance requirements early in the lifecycle, providing a clear implementation roadmap that prevents costly rework and technical debt.

Why does the skill require a structured interview?

The interview process allows the AI to probe for missing details, technical constraints, and business goals that are often omitted in initial prompts, ensuring the resulting spec is comprehensive and actionable.

What is the EARS format used by Feature Forge?

EARS (Easy Approach to Requirements Syntax) is a set of structured language patterns that helps reduce ambiguity in functional requirements by clearly defining triggers, preconditions, and system responses.

Feature Forge

Name: Feature Forge
Author: Jeffallan

byJeffallan

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Herramientas de Colaboración

Conducts structured requirement workshops and generates comprehensive feature specifications using EARS syntax and industry-standard templates.

Acerca de

Feature Forge transforms vague ideas into production-ready technical specifications by acting as a senior product analyst. It bridges the gap between business goals and technical implementation through a structured interview process, balancing user value with system feasibility. By utilizing the Easy Approach to Requirements Syntax (EARS) and Given/When/Then acceptance criteria, it ensures all functional, non-functional, and security requirements are clearly defined and testable before a single line of code is written, reducing development friction and scope creep.

Características Principales

Comprehensive mapping of non-functional requirements including security and performance
Actionable implementation TODO checklists generated from specifications
Requirements generation using EARS (Easy Approach to Requirements Syntax)
Structured discovery workshops using dual PM and Developer perspectives
7 GitHub stars
Automated creation of Given/When/Then acceptance criteria

Casos de Uso

Refining ambiguous feature requests into structured technical documentation
Defining a complex new software feature from a high-level concept
Translating business goals into precise, testable engineering requirements

Acerca de

Características Principales

Comprehensive mapping of non-functional requirements including security and performance
Actionable implementation TODO checklists generated from specifications
Requirements generation using EARS (Easy Approach to Requirements Syntax)
Structured discovery workshops using dual PM and Developer perspectives
7 GitHub stars
Automated creation of Given/When/Then acceptance criteria

Casos de Uso

Refining ambiguous feature requests into structured technical documentation
Defining a complex new software feature from a high-level concept
Translating business goals into precise, testable engineering requirements