test-workflow

Automate end-to-end test generation and validation workflows for software projects.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/dayoumin/mbti --skill test-workflow-dayoumin
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: test-workflow
Source: https://github.com/dayoumin/mbti/tree/main/.claude/skills/test-workflow
Command: npx skills add https://github.com/dayoumin/mbti --skill test-workflow-dayoumin

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the end-to-end test creation workflow with a dual-agent validation process to save time, reduce manual steps, and improve test quality. It guides users from a request to a built, validated set of tests, ensuring independent checks.

Core Features & Use Cases

  • Automated generation: Orchestrates test creation via a test-creator Agent, then performs independent validation with a test-auditor Agent.
  • Research integration: If a research file path is provided, a research Parser handles extraction, enabling data-driven test generation.
  • Deterministic validation & reporting: Builds validation reports and notifies on issues or success, ready for deployment.

Quick Start

Use the test-workflow to generate tests from a provided research file: "research/whiskey.md 기반으로 whiskey 테스트 생성해줘" or simply "whiskey 테스트 만들어줘" to trigger web search and automatic generation.

Frequently Asked Questions about test-workflow

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

FAQPage Schema
How do I automate test generation from research files?

Test generation can be automated by providing research files like research/whiskey.md to the workflow, which parses the content and orchestrates a two-agent pipeline—test-creator then test-auditor—to produce validated tests ready for deployment.

What is dual validation in test workflows?

Dual validation uses independent quality checks: a test-creator agent generates tests, then a separate test-auditor agent reviews them in isolation, ensuring quality assurance before final build verification.

Can I generate tests without providing a research file?

Yes, you can trigger test generation by specifying a topic like 'whiskey 테스트 만들어줘', which triggers web search and automatic test creation without requiring a research file input.

What happens after tests are created and validated?

After dual audits complete, the workflow runs npm run build to verify the tests integrate correctly, then reports results including eight modified files as outputs ready for deployment.

What file formats does test generation support?

The workflow accepts markdown research files (e.g., research/whiskey.md) for data-driven test generation, extracting content to inform test data and scenarios.

Why use a two-agent approach for test creation?

The two-agent pipeline separates creation from validation, reducing bias and catching errors through independent review, improving test quality and reducing manual verification steps.