What is Forward Derivation in AI coding?

Forward Derivation is the automated process of converting approved Software Design Documents (SDD) into executable test structures like BDD scenarios and TDD skeletons to ensure code matches requirements.

How does this skill prevent AI hallucinations?

It implements Spec-Bounded rules that force the AI to only derive tests for existing Acceptance Criteria, requiring an exact 1:1 match between input ACs and output scenarios.

What output formats are supported by this skill?

It generates .feature files for BDD, test skeletons (e.g., .test.ts, .pytest) for TDD, and optional markdown tables for ATDD acceptance testing.

Do I need an existing specification to use this?

Yes, this skill requires an approved specification file (usually in Markdown) with defined Acceptance Criteria to function correctly.

Forward Derivation Specialist

Name: Forward Derivation Specialist
Author: ValorVie

byValorVie

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보안 및 테스팅

Generates BDD scenarios and TDD test skeletons directly from approved software design specifications to ensure implementation alignment.

The Forward Derivation skill automates the transition from design to implementation by transforming Software Design Documents (SDD) into executable BDD Gherkin features and TDD test skeletons. By strictly adhering to Anti-Hallucination standards, it ensures that every generated test case is explicitly linked to an approved Acceptance Criterion (AC), maintaining a 1:1 mapping between specifications and test coverage while preventing feature creep or missed requirements. It is an essential tool for developers practicing Spec-Driven Development (SDD) within the Claude Code environment.

주요 기능

01Optional ATDD acceptance test table generation for manual verification

023 GitHub stars

03Strict Spec-Bounded generation to prevent AI hallucinations and scope creep

04TDD test skeleton creation with AAA structure and TODO placeholders

05Source attribution tagging for full traceability between tests and specs

06Automated BDD Gherkin scenario generation from Acceptance Criteria

사용 사례

01Ensuring 100% test coverage of complex business requirements defined in markdown specs

02Standardizing test structures across a team using unified derivation tags and source mapping

03Bootstraping BDD and TDD test suites immediately after a design specification is approved

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add valorvie/custom-skills forward-derivation

For use in Claude.ai and ChatGPT

Download Skill