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Found 727 Skills
Code style, architecture patterns, and development guide for the Droplinked e-commerce backend. NestJS + Prisma (MongoDB) with strict layered architecture: Controller to Service Facade to UseCase to Repository. Use this skill when: (1) Creating new features, modules, or endpoints in the Droplinked backend (2) Refactoring existing code to follow project patterns (3) Writing tests for use cases and services (4) Reviewing code for architectural compliance (5) Understanding the data model (shops, products, orders, carts, merchants, customers) (6) Implementing cross-module communication (7) Adding event-driven side effects (8) Working with Prisma and MongoDB in this codebase Triggers: droplinked, nest module, usecase, service facade, repository pattern, cart, order, shop, product, merchant
Rust testing patterns for CLI applications, libraries, and frameworks. This skill should be used when writing, reviewing, or refactoring Rust tests including unit tests, integration tests, mocking, async testing, and CI integration. Triggers on tasks involving Rust testing, cargo test, mockall, proptest, tokio test, or test organization.
Effective code search, analysis, and refactoring using ast-grep (sg). Use this skill for precise AST-based code modifications, structural search, and linting.
Use when writing, reviewing, or refactoring React component tests with Testing Library. Load when you see render(), screen, fireEvent, userEvent, waitFor, or *.test.tsx files. Covers query priority (getByRole > getByLabelText > getByText), user-centric testing patterns, async utilities, custom renders with providers, and accessibility-first assertions. Keywords include RTL, Testing Library, screen, getByRole, findBy, queryBy, userEvent, waitFor, toBeInTheDocument, testing-library/react, testing-library/user-event, jest-dom.
Pytest testing patterns for Python. Trigger: When writing or refactoring pytest tests (fixtures, mocking, parametrize, markers). For Prowler-specific API/SDK testing conventions, also use prowler-test-api or prowler-test-sdk.
Python design patterns for CLI scripts and utilities — type-first development, deep modules, complexity management, and red flags. Use when reading, writing, reviewing, or refactoring Python files, especially in .trellis/scripts/ or any CLI/scripting context. Also activate when planning module structure, deciding where to put new code, or doing code review.
A skill to improve test code quality based on the test principles from Google's "Software Engineering at Google". It supports creating new tests, reviewing and refactoring existing tests. Must be used when users make requests such as: "Write tests", "Add tests", "Review test code", "Refactor tests", "Improve test quality", "Check if test principles are followed", "Use good test writing practices", "I want tests for this method", "Insufficient test cases", "Review tests", "Increase coverage". Actively trigger this skill for any test-related work even if the skill name is not explicitly mentioned. It has three subcommands: review (test code review), refactor (refactoring existing tests), write (creating new tests).
Clinic-architecture-aligned iOS design system engineering for SwiftUI (iOS 26 / Swift 6.2) covering token architecture, color/typography/spacing systems, component style libraries, asset governance, and theming. Enforces @Equatable on views and keeps design-system usage compatible with Feature-to-Domain+DesignSystem boundaries. Use when building or refactoring DesignSystem infrastructure for the clinic modular MVVM-C stack.
Provides final code cleanup after task review approval. Removes debug logs, temporary comments, dead code, optimizes imports, and improves readability. Use when asked to clean up code, polish, finalize, tidy up, remove technical debt, or prepare code for completion after review. Not for refactoring logic or fixing bugs—focused solely on cosmetic and hygiene cleanup.
Write TypeScript and JavaScript code following Metabase coding standards and best practices. Use when developing or refactoring TypeScript/JavaScript code.
Pulumi infrastructure as code performance and reliability guidelines. This skill should be used when writing, reviewing, or refactoring Pulumi code to ensure optimal deployment performance and infrastructure reliability. Triggers on tasks involving Pulumi stacks, components, state management, secrets configuration, resource lifecycle options, or CI/CD automation.
Apply when writing, modifying, or reviewing code. Behavioral guidelines to reduce common LLM coding mistakes. Triggers on implementation tasks, code changes, refactoring, bug fixes, or feature development.