How does this differ from standard unit testing?

While unit tests focus on individual functions, this skill focuses on end-to-end user behaviors and qualitative outcomes, including complex simulations and AI-driven assessments.

What is a scenario acceptance matrix?

It is a structured map that links user-centric scenarios to specific behavioral expectations and test results, helping teams track quality beyond simple code-line coverage.

What is the 'LLM-as-Judge' approach in this skill?

It refers to using AI to evaluate qualitative requirements—such as tone, empathy, or relevance—that cannot be easily validated with standard deterministic code assertions.

When is the best time to use the scenario-matrix skill?

It is best used during the planning phase of a feature, after significant requirement changes, or when preparing for a formal release review to ensure comprehensive coverage.

Scenario Acceptance Matrix

Name: Scenario Acceptance Matrix
Author: ash1794

byash1794

•

Security & Testing

Generates comprehensive behavioral scenario matrices to map user requirements to systematic, trackable test coverage.

The Scenario Acceptance Matrix skill helps engineering teams move beyond simple line coverage by focusing on user-centric behavioral validation. It transforms PRDs, user stories, and bug reports into a structured matrix with stable IDs, allowing for long-term tracking of feature readiness. By categorizing tests into deterministic, LLM-as-judge, and simulation-based approaches, it provides a sophisticated framework for evaluating both functional code and qualitative AI outputs, ensuring no edge case is overlooked during release reviews or milestone planning.

Key Features

01Automated mapping of user stories to stable, trackable Scenario IDs

026 GitHub stars

03Edge case discovery based on historical bug reports and user feedback

04Standardized output format for stakeholder reviews and quality gates

05Statistical coverage reporting with PASS/FAIL/PARTIAL status tracking

06Classification of testing methodologies including Deterministic and LLM-as-Judge

Use Cases

01Planning comprehensive test coverage for complex new feature rollouts

02Transitioning from ad-hoc testing to a systematic, documented QA process

03Preparing structured evidence of testing for release and milestone reviews

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ash1794/vibe-engineering scenario-matrix

For use in Claude.ai and ChatGPT

Key Features

01Automated mapping of user stories to stable, trackable Scenario IDs

026 GitHub stars

03Edge case discovery based on historical bug reports and user feedback

04Standardized output format for stakeholder reviews and quality gates

05Statistical coverage reporting with PASS/FAIL/PARTIAL status tracking

06Classification of testing methodologies including Deterministic and LLM-as-Judge

Use Cases

01Planning comprehensive test coverage for complex new feature rollouts

02Transitioning from ad-hoc testing to a systematic, documented QA process

03Preparing structured evidence of testing for release and milestone reviews

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ash1794/vibe-engineering scenario-matrix

For use in Claude.ai and ChatGPT