ai-test-generation
CommunityStructured AI-assisted QA pipeline automation.
System Documentation
What problem does it solve?
AI-assisted test generation often suffers from disjoint artifacts, inconsistent naming, and weak traceability across the entire test pipeline. This Skill enforces a staged workflow that transforms a specification into structured requirements, risks, coverage, scenarios, oracles, and eventually code, with mandatory human review to maintain quality and maintainability.
Core Features & Use Cases
- 7-step pipeline: Step-by-step process from Requirements Extraction to Human Review.
- Guardrails enforce traceability, separation of concerns, and project conventions.
- Generates artifacts: Requirements Document, Risk & Invariants, Coverage Matrix, Scenario Set, Oracle Definitions, and Test Code ready for review.
- Applies to PRDs, user stories, API schemas, code diffs, and bug reports.
- Suitable for teams that want repeatable, auditable QA test generation for complex systems.
Quick Start
To begin, provide a project spec or PRD and initiate the staged AI QA pipeline to produce the complete set of artifacts for review.
Dependency Matrix
Required Modules
None requiredComponents
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ai-test-generation Download link: https://github.com/petrkindlmann/qa-skills/archive/main.zip#ai-test-generation Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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