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Expo Integration Examples Patterns Library

sickn33/antigravity-awesome-skills

A comprehensive resource containing official, managed integration examples for popular third-party services (Stripe, OpenAI, Supabase, etc.). This library provides canonical patterns for connecting external APIs into an Expo application. Users can utilize it in two primary ways: adapting the pattern into an existing project (most common) or scaffolding a new greenfield application.

CI/CD Newman API Test Integrator

newman-cicd-integration

sickn33/antigravity-awesome-skills

Generate comprehensive, ready-to-use CI/CD pipeline configurations for running automated API tests using Newman. This skill provides templates for major platforms like GitHub Actions, GitLab CI, Jenkins, and Azure DevOps. It ensures seamless integration of Postman collections into automated build processes, including setting up environment variables, running tests, and publishing detailed JUnit and HTML reports.

Generate Robot Framework Tests

robot-framework-skill

sickn33/antigravity-awesome-skills

A comprehensive skill for generating keyword-driven automated test scripts using Robot Framework. It supports front-end UI testing via SeleniumLibrary, robust API integration using RequestsLibrary, and complex custom keywords. Ideal for building end-to-end and functional test suites.

SEO Unlighthouse Audit

seo-unlighthouse

AgriciDaniel/claude-seo

Run multi-page Lighthouse audits via the Unlighthouse CLI, aggregating performance, accessibility, best-practices, and SEO scores across all routes on a site. A free, local alternative to PageSpeed Insights API quotas, ideal for CI integration, large sites, and post-deploy regression checks.

API Connector Builder For Existing Patterns

api-connector-builder

This guide outlines how to build new API connectors or providers that strictly adhere to the existing integration architecture and patterns of a target repository. It is designed for adding integrations while maintaining architectural consistency (e.g., layout, configuration schema, authentication model, and testing style), preventing the creation of novel, unsupported patterns.

Django TDD Testing with Pytest and Factory Boy

A comprehensive guide to implementing Test-Driven Development (TDD) for Django projects. This skill covers the full Red-Green-Refactor cycle, utilizing pytest, pytest-django, and factory_boy to write robust unit and integration tests for Django models, views, and DRF APIs. Essential for developers aiming to build large-scale, high-quality Python applications.

Jira Issue Tracking and Workflow Automation

jira-integration

This comprehensive skill provides deep integration with Jira, enabling users to manage the entire issue lifecycle. Features include retrieving ticket details, extracting testable requirements and acceptance criteria, updating issue status (transitions), adding comments, and linking code artifacts (PR/MR). Supports both recommended MCP server approach and direct REST API calls for robust development workflow automation.

Building Robust Ktor Server Patterns

kotlin-ktor-patterns

A comprehensive set of architectural patterns for building robust and maintainable HTTP servers using Kotlin Coroutines and the Ktor framework. It covers essential topics including REST routing DSL, plugin configuration (Authentication, CORS, StatusPages), Dependency Injection (Koin), serialization, WebSockets, and integration testing using testApplication.

Integrating Transactional Email Sending Via Mailtrap

mailtrap-email-integration

A comprehensive guide for integrating transactional email sending into applications using Mailtrap's Email API. It covers critical best practices, including separating development (Sandbox) and production environments, implementing secure Bearer token authentication, and performing essential domain verification (SPF, DKIM, DMARC). Use this when building features like password resets or debugging email delivery pipelines.

ML Model Integration Playbook

ml-adoption-playbook

A comprehensive, end-to-end playbook designed for software engineers and AI agents. It provides a structured methodology to safely introduce machine learning capabilities into existing, non-ML codebases. The process covers critical stages: problem framing, data readiness, architectural decoupling (using dedicated APIs/services), baseline model implementation, and final handoff to MLOps practices (CI/CD, monitoring).

Full-Stack Project Architecture and Guidelines

project-guidelines-example

A comprehensive template providing best practices for full-stack development. It covers detailed architecture design, optimal file structures for Next.js and FastAPI, standard code patterns (e.g., API responses, custom hooks), and integration guidance for modern AI services, ensuring scalable and maintainable applications.

Quarkus Development Verification Pipeline

quarkus-verification

A comprehensive CI/CD quality gate for Quarkus microservices. This pipeline guides developers through critical stages: build integrity, static code analysis (Checkstyle, SonarQube), thorough unit/integration/API testing with coverage enforcement, dependency vulnerability scanning, native compilation validation (GraalVM), and performance load testing using K6. It ensures high code quality before PR or deployment.

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