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Found 4 Skills
Analyze gaps between requirements/features that should be tested and actual test coverage, identifying testing deficiencies and prioritizing test improvements
Analyzes code to identify untested functions, low coverage areas, and missing edge cases. Use when reviewing test coverage or planning test improvements. Generates specific test suggestions with example templates following amplihack's testing pyramid (60% unit, 30% integration, 10% E2E). Can use coverage.py for Python projects.
Expand unit test coverage by targeting untested branches and edge cases. Use when users ask to "increase test coverage", "add more tests", "expand unit tests", "cover edge cases", "improve test coverage", or want to identify and fill gaps in existing test suites. Adapts to project's testing framework.
Find branch coverage gaps in changed code and fix them by writing missing tests. Two analysis layers: Source ↔ Test (logic branches vs test cases) and Spec ↔ Test (requirement scenarios vs test cases, when a spec file is provided). Use when verifying test completeness after implementing a feature or fixing a bug, when auditing whether tests match a spec, or when suspecting untested branches.