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Found 144 Skills
Run pytest tests with coverage, discover lines missing coverage, and increase coverage to 100%.
Coverage Gaps audit worker (L3). Identifies missing tests for critical paths (Money 20+, Security 20+, Data Integrity 15+, Core Flows 15+). Returns list of untested critical business logic with priority justification.
Combinatorial testing with a greedy pairwise matrix generator. Covers all factor pairs in near-minimal test cases.
Improve test coverage in the OpenAI Agents Python repository: run `make coverage`, inspect coverage artifacts, identify low-coverage files, propose high-impact tests, and confirm with the user before writing tests.
Set up or verify Husky git hooks to ensure all tests run and coverage stays above 80% (configurable) for Node.js/TypeScript projects. This skill should be used when users want to enforce test coverage through pre-commit hooks, verify existing Husky/test setup, or configure coverage thresholds for Jest, Vitest, or Mocha test runners.
Analyzes test coverage reports, identifies gaps, and recommends priority areas for testing. Use when reviewing coverage, finding untested code, or planning test improvements.
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.
Test coverage-focused code review. Apply when reviewing code for missing unit tests, integration tests, edge cases, error handling paths, test quality, and test maintainability.
Orchestrates complete project initialization by coordinating agent-folder-init, linter-formatter-init, husky-test-coverage, and other setup skills. Use this skill when starting a new project that needs full AI-first development infrastructure with code quality enforcement.
Write comprehensive backend tests including unit tests, integration tests, and API tests. Use when testing REST APIs, database operations, authentication flows, or business logic. Handles Jest, Pytest, Mocha, testing strategies, mocking, and test coverage.
Generates comprehensive, workable unit tests for any programming language using a multi-agent pipeline. Use when asked to generate tests, write unit tests, improve test coverage, add test coverage, create test files, or test a codebase. Supports C#, TypeScript, JavaScript, Python, Go, Rust, Java, and more. Orchestrates research, planning, and implementation phases to produce tests that compile, pass, and follow project conventions.
Use this skill when user wants to create a refactor plan.