Test Tier Selection

The test-tier-selection skill enables AI agents to dynamically choose appropriate testing strategies based on specific project requirements and risk profiles. It automates the decision-making process for selecting between unit, integration, end-to-end, or performance testing suites without manual intervention.

When to use it

• Automate test strategy selection in CI/CD pipelines to reduce configuration overhead.
• Adjust testing depth dynamically based on code changes or criticality levels.
• Ensure consistent test coverage standards across microservices or monolithic architectures.
• Optimize resource allocation by matching test complexity to available compute budgets.

Key capabilities

• Analyzes project context to recommend optimal test tiers.
• Integrates with existing testing frameworks and CI/CD workflows.
• Supports flexible configuration for diverse testing needs.
• Provides actionable insights on test strategy adjustments.

Example prompts

• "Analyze this codebase and suggest the most appropriate test tier for our new feature deployment."
• "Configure automated test selection based on our current CI/CD pipeline constraints."
• "Recommend a testing strategy that balances speed and coverage for our microservices architecture."

Tips & gotchas

Ensure your project has clear documentation defining test tier criteria to maximize accuracy. This skill works best when integrated early in the development lifecycle to establish robust testing foundations.