What problem does it solve?
Creating UAT and acceptance test item lists for large projects is slow and error-prone, especially when requirements documents are missing or scattered. This Skill explores any repository, inventories available information sources, and produces a structured L1/L2/L3 test item catalog without hardcoding project-specific paths.
Core Features & Use Cases
- Automated Inventory & Classification: Runs an inventory script to measure documentation, E2E specs, unit tests, and screens, then classifies sources by category and trust level (forward requirements vs. reverse-generated docs).
- Parallel Sub-Agent Extraction: Delegates extraction to sub-agents with strict reading budgets and pre-assigned ID ranges, so the parent agent never reads item bodies and large projects stay manageable.
- Automation Coverage Judgment: Determines whether each L2 item is already covered by E2E or unit tests, separating auto-covered items into dedicated files and deriving a four-level manual execution hierarchy.
- Use Case: Point the Skill at a repository before acceptance testing; it produces an index with count summaries, L1 business scenarios, per-feature-group L2 items, L3 non-functional checks, and a gaps report listing missing evidence.
Quick Start
Ask the AI to generate a UAT and acceptance test item list from this repository using the uat-test-design skill.