ln-632-test-e2e-priority-auditor

What it does

This skill enables AI agents to automatically audit and prioritize End-to-End (E2E) test cases based on specific business logic or risk factors. It helps teams focus testing efforts on the most critical user journeys first, ensuring high-value features are validated before lower-priority ones.

When to use it

• Risk-based testing: Identify which E2E flows carry the highest business impact if they fail.
• Resource optimization: Determine the optimal order for running test suites when time or compute resources are limited.
• Regression analysis: Quickly surface critical paths that need re-validation after major code deployments.
• CI/CD integration: Automatically adjust test execution order in pipelines to catch show-stopping bugs early.

Key capabilities

• Analyzes existing E2E test suites for priority signals.
• Ranks test cases based on defined criteria (e.g., revenue impact, user frequency).
• Generates actionable reports highlighting high-priority failures or gaps.
• Integrates with standard E2E testing frameworks to automate the audit process.

Example prompts

• "Audit my current E2E suite and rank these flows by potential business impact."
• "Identify which critical user journeys are missing from our automated test coverage."
• "Prioritize these failing E2E tests so we can fix the most important issues first."

Tips & gotchas

Ensure your test suite includes metadata or tags that define business value, as the auditor relies on this context to make accurate prioritization decisions. Without clear priority signals in your tests, the agent may default to generic ordering logic.