gsd-verify-work

Validate built features through conversational UAT with persistent state tracking.

Updated Mar 1, 2026
One-click install
npx skills add https://github.com/NUbivek/Searchbar3 --skill gsd-verify-work-nubivek
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gsd-verify-work
Source: https://github.com/NUbivek/Searchbar3/tree/main/.codex/skills/gsd-verify-work
Command: npx skills add https://github.com/NUbivek/Searchbar3 --skill gsd-verify-work-nubivek

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of validating newly built features through conversational User Acceptance Testing (UAT), ensuring they meet user expectations and functional requirements.

Core Features & Use Cases

  • Conversational UAT: Engages users in a natural dialogue to test features.
  • Persistent State Tracking: Maintains context across test sessions to track progress and issues.
  • Automated Diagnosis & Planning: Identifies issues, diagnoses root causes, and plans fixes.
  • Use Case: After a new search functionality is developed, this Skill can guide a user through testing various search queries, reporting any discrepancies, and automatically logging bugs for the development team.

Quick Start

Use the gsd-verify-work skill to validate the new user profile update feature.

Frequently Asked Questions about gsd-verify-work

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

FAQPage Schema
How do I automate User Acceptance Testing for newly built features?

You can automate User Acceptance Testing by engaging in conversational dialogue to validate features, which tracks persistent state across sessions and automatically diagnoses identified issues to generate UAT reports.

Can I diagnose and plan fixes for issues found during UAT automatically?

Yes, during UAT the system automatically diagnoses root causes of identified issues, plans necessary fixes, and prepares for execution to confirm features function correctly from a user perspective.

How does conversational UAT maintain context across multiple test sessions?

Conversational UAT maintains context across test sessions using persistent state management, ensuring progress and issues are tracked continuously to validate that developed features meet functional requirements.

What is the best way to validate features from a user's perspective after development?

The best way to validate features is through conversational User Acceptance Testing, which facilitates direct user feedback, automatically logs discrepancies, and flags gaps for remediation.

Does UAT validation work without external dependencies?

Yes, UAT validation works without external dependencies, using internal scripts and references to guide users through testing queries, report generation, and fix planning independently.