goal

Create CSV feature coverage ledgers and validate user-facing behavior through structured testing workflows.

Updated Jun 12, 2026
One-click install
npx skills add https://github.com/YutoMizutani/pantheon --skill goal-yutomizutani
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: goal
Source: https://github.com/YutoMizutani/pantheon/tree/main/.claude/skills/goal
Command: npx skills add https://github.com/YutoMizutani/pantheon --skill goal-yutomizutani

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the problem of incomplete feature coverage by transforming an application's capabilities into tracked user stories, expected behaviors, and a continuously updated testing ledger.

Core Features & Use Cases

  • Coverage Ledger Creation: Builds a single CSV-based inventory connecting features, user stories, implementation sources, priorities, and expected outcomes.
  • Autonomous Test Loop: Executes validation across discovered features, records evidence, tracks defects, and supports RED-first regression workflows.
  • Use Case: A development team can use this Skill on a growing application to discover missing tests, verify user-visible behavior, and maintain a living quality record.

Quick Start

Ask the goal skill to analyze the target application, create a coverage ledger, and run the full feature validation loop.

Frequently Asked Questions about goal

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

FAQPage Schema
How do I create a feature coverage ledger for user story testing?

Create a feature coverage ledger by mapping application capabilities into a CSV inventory. This connects features, user stories, implementation sources, priorities, and expected outcomes to track testing progress.

What is RED-first regression testing and how does it validate behavior?

RED-first regression testing validates user-facing behavior by executing tests and recording deterministic evidence before implementation. This ensures defects are tracked and new features pass required validation workflows.

How do I map user stories across APIs, pages, and command interfaces?

Map user stories by discovering features across APIs, pages, modules, and command interfaces. Structured testing workflows validate these user-facing behaviors and update the coverage ledger.

Can I use a CSV ledger for defect tracking and regression coverage?

Yes, a CSV ledger supports defect tracking and regression coverage by continuously updating feature inventories with test execution evidence, ensuring a living quality record for software projects.

What's the best way to track missing tests in a growing application?

Track missing tests by analyzing the target application to discover untested features and update a coverage ledger. This validates user-visible behavior and maintains a living quality record.

Do I need external dependencies to run feature discovery workflows?

No external dependencies are required to run feature discovery workflows. The Skill autonomously analyzes the target application, creates a coverage ledger, and executes the full validation loop.