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gsd-verify-work

Validate built features through conversational UAT and automated smoke tests.

Updated May 11, 2025
Search Tags:#conversational AI#automated testing#software validation#UAT#user acceptance testing
One-click install
npx skills add https://github.com/rogsme/dotfiles --skill gsd-verify-work-rogsme
Or copy as Structured Prompt for Agentโ–ผ
Please help me install this Agent Skill.
Skill: gsd-verify-work
Source: https://github.com/rogsme/dotfiles/tree/main/.config/gsd/skills/gsd-verify-work
Command: npx skills add https://github.com/rogsme/dotfiles --skill gsd-verify-work-rogsme

SYSTEM DOCUMENTATION & REQUIREMENTS

๐Ÿ’ก This Skill requires playwright-cli, curl, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Streamlines the User Acceptance Testing (UAT) process with conversational verification, automating smoke tests and providing a framework for tracking results and diagnosing gaps.

Core Features & Use Cases

  • Conversational UAT: Engages users in conversational tests for validating built features.
  • Automated Smoke Testing: Supports automated smoke verification via playwright-cli and curl before interactive loops.
  • Test Tracking: Creates a detailed UAT.md file tracking progress, survival through context resets, and diagnosing gaps.
  • Use Case: Use this Skill to verify a feature phase, like "verify phase 3", and automatically perform tests, tracking the outcome in a structured file.

Quick Start

Run the skill with "verify phase 3" to initiate a UAT for a specific phase.

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 new software features?โ–ผ

Automated smoke testing validates endpoints and UI flows by running playwright-cli and curl commands before interactive loops. This executes automated checks to verify core feature stability before manual validation begins.

How does conversational AI handle UAT tracking across context resets?โ–ผ

Conversational AI handles UAT tracking by creating a detailed UAT.md file to log progress and diagnose gaps. This file survives context resets, preserving test state and outcomes across sessions.

Do I need playwright-cli and curl to run automated smoke tests?โ–ผ

Yes, you need playwright-cli and curl dependencies to execute automated smoke tests and API validation. These tools support the prerequisite environment for running automated verification before interactive conversational loops.

What is the best way to verify a specific development phase after coding?โ–ผ

The best way to verify a specific development phase is to initiate a targeted UAT workflow, such as running a verify phase command. This automatically performs tests and tracks the structured outcome for that phase.

Are there limitations to conversational verification for complex software validation?โ–ผ

Conversational verification is limited by its reliance on playwright-cli and curl for automated smoke testing, requiring existing knowledge of UAT practices. Complex software validation scenarios may need manual intervention beyond automated checks.

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