Web Scraper Quality Assurance

소개

Orchestrates a strict, test-first methodology for any development involving backend scraping, discovery, or data extraction systems. This skill mandates the definition and documentation of specific use cases *before* any code is written, ensuring a clear plan and measurable success criteria. It guides the developer through a structured five-phase process: scope analysis, use case setup, implementation, verification, and final reporting. This workflow is essential for guaranteeing high-quality, reliable data collection and preventing regressions when modifying components like platform adapters, discovery agents, or browser automation logic.

주요 기능

• Mandates a test-first approach, defining use cases before implementation
• Provides standardized templates for scope analysis, test cases, and final reports
• 0 GitHub stars
• Includes a reference of common CLI commands and test configurations for efficiency
• Implements a structured five-phase workflow: Scope, Setup, Implement, Verify, Report
• Defines required test categories, including dry-run and live verification

사용 사례

• Fixing a bug in a platform-specific scraper (e.g., for UberEats)
• Adding a new data field to be extracted by the discovery agent
• Refactoring Puppeteer logic to handle changes on a target website