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Found 188 Skills
Perform systematic self-review of code changes before commits using structured checklist. Validates architecture boundaries, code quality, test coverage, documentation, and project-specific anti-patterns. Use before committing, creating PRs, or when user says "review my changes", "self-review", "check my code". Adapts to Python, JavaScript, TypeScript, Go, Rust projects.
Review existing tests for completeness, quality issues, and common mistakes
Review PyTorch pull requests for code quality, test coverage, security, and backward compatibility. Use when reviewing PRs, when asked to review code changes, or when the user mentions "review PR", "code review", or "check this PR".
Read this skill to write, generate, or add test code. Trigger when: (1) user asks to write, add, create, or generate tests of any kind (unit tests, integration tests, API tests, E2E tests, Playwright tests, Vitest tests); (2) user has code with missing or zero tests and wants coverage; (3) user just implemented a new service, endpoint, feature, or module and needs tests for it; (4) user refactored code and wants to verify nothing broke with tests; (5) user wants to improve or expand existing test coverage. This skill produces complete, pyramid-shaped test suites — reads the code, selects only the necessary layers (unit/integration/API/E2E), and generates every file needed (schema tests, service tests, factories, helpers, cleanup utilities, spec files) following strict Vitest and Playwright patterns. Skip this skill when debugging failing tests, asking how to use testing APIs or tools, explaining testing concepts, configuring test runners, reviewing existing test code, or migrating between test frameworks.
Analyze gaps between requirements/features that should be tested and actual test coverage, identifying testing deficiencies and prioritizing test improvements
Test coverage verification for refactoring. Apply when verifying existing test coverage, identifying gaps, recommending pre-refactoring tests, and defining verification checkpoints.
Test-Driven Development workflow enforcement with RED-GREEN-REFACTOR cycle. Use when implementing features test-first or improving test coverage.
Apply Test-Driven Development workflow for new features and bugfixes.
TDD patterns, test writing strategies, coverage guidance, mocking patterns. Use when: write tests, TDD, test coverage, unit test, integration test, E2E test, mocking, test organization, pytest, vitest, jest.
Guide for selecting and executing the correct pytest suites (unit, integration, redis, R2, routing rules, magic link) with environment setup and coverage expectations.
Graph-informed mutation testing triage. Parses codebases with Trailmark, runs mutation testing and necessist, then uses survived mutants, unnecessary test statements, and call graph data to identify false positives, missing test coverage, and fuzzing targets. Use when triaging survived mutants, analyzing mutation testing results, identifying test gaps, finding fuzzing targets from weak tests, running mutation frameworks (including circomvent and cairo-mutants), or using necessist.
Mutation-driven test vector generation. Finds implementations of a cryptographic algorithm or protocol, runs mutation testing to identify escaped mutants, then generates new test vectors that deliberately exercise the uncovered code paths. Compares before/after mutation kill rates to prove vector effectiveness. Use when generating cryptographic test vectors, measuring Wycheproof coverage gaps, finding escaped mutants via mutation testing, creating cross-implementation test suites, or improving test vector coverage for crypto primitives.