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app-test

Generate and execute end-to-end test plans for Deliver apps, documenting results and bugs.

1|2|Updated Apr 1, 2026
Search Tags:#testing#bug-tracking#test-plan#qa-automation#evidence-model#deliver-apps
One-click install
npx skills add https://github.com/jjackson/ace --skill app-test
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: app-test
Source: https://github.com/jjackson/ace/tree/main/skills/app-test
Command: npx skills add https://github.com/jjackson/ace --skill app-test

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Validates Learn and Deliver apps by generating and executing comprehensive test plans to identify bugs before LLO deployment.

Core Features & Use Cases

  • Generate end-to-end test plans covering forms, workflows, and validation rules
  • Execute tests against deployments, document results, and track coverage and bugs
  • Align test coverage with Evidence Model requirements and archetypes

Quick Start

Run the app-test skill to generate and execute an automated test plan for the Learn and Deliver apps.

Frequently Asked Questions about app-test

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

FAQPage Schema
How do I automate end-to-end app testing for Deliver apps?▼

End-to-end app testing for Deliver apps is automated by generating test plans and executing them against deployments, capturing results across forms, workflows, and validation rules to identify bugs before LLO deployment.

What is an Evidence Model in app test coverage?▼

An Evidence Model in app testing defines the requirements and archetypes used to evaluate whether test coverage satisfies the necessary validation criteria for Learn and Deliver app deployments.

How do I generate a test plan for case management workflows?▼

Generating a test plan for case management involves mapping workflows, forms, and validation rules, then producing a test-plan.md artifact to document the execution steps and expected outcomes.

Can I use automated QA testing for cross-form data flows?▼

Yes, automated QA testing applies to cross-form data flows by validating data interactions across multiple forms within Learn and Deliver app deployments to ensure integration integrity.

What artifacts are produced when running QA automation for Deliver apps?▼

Running QA automation produces test-plan.md, test-results.md, and bugs.md artifacts, documenting the test execution, coverage evaluation against the Evidence Model, and identified bug tracking details.

Does end-to-end testing work for both Learn and Deliver app deployments?▼

Yes, end-to-end testing applies to both Learn and Deliver app deployments, validating forms, case management, and validation rules across both platforms before final LLO deployment.

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