Skill UI

Expert in building Telegram Mini Apps (TWA) - web apps that run inside Telegram with native-like experience. Covers TON ecosystem, Telegram Web App API, payments, user authentication, and viral monetization.

Expert guide for building durable distributed systems with the Temporal Go SDK, covering deterministic workflow rules, mTLS worker configuration, advanced patterns, and testing/observability strategies for production workloads.

Master Temporal workflow orchestration using the Python SDK. Covers durable workflows, saga patterns, and distributed transactions. Includes guidance on async/await execution models, worker configuration, activity implementation, error handling, retry policies, and signal/query patterns. Ideal for building reliable, scalable distributed systems and production-ready workflow applications with Python.

This skill provides comprehensive testing approaches for Temporal workflows using pytest. It covers unit testing with time-skipping, integration testing with mocked activities, and replay testing for determinism validation. Resources guide local development setup, CI/CD integration, and achieving high code coverage targets. Ideal for validating Python SDK workflows efficiently.

Provision and manage AWS cloud infrastructure using Terraform Infrastructure as Code (IaC). Create reusable modules, manage state files, and implement best practices for declarative resource deployment. Suitable for DevOps workflows requiring automated server, network, and storage setup.

Expert guidance for creating reusable Terraform modules for AWS, covering state management, HCL best practices, and production-grade patterns. Use for building or reviewing Terraform infrastructure.

A comprehensive, multi-phase workflow designed for Infrastructure as Code (IaC) using Terraform. It guides users through provisioning cloud resources, creating reusable modules, managing complex state, handling multi-environment deployments, and integrating robust CI/CD pipelines and security practices. Ideal for establishing scalable, repeatable, and auditable cloud infrastructure.

This skill provides production-ready Terraform module patterns for AWS, Azure, and GCP infrastructure. It helps build reusable infrastructure components, standardize cloud resource provisioning, and implement infrastructure as code best practices. Users can create multi-cloud compatible modules and establish organizational Terraform standards. Includes guidance on module structure, variables, outputs, and testing with Terratest.

This skill provides a systematic, multi-step approach to identify and resolve all failing unit tests within a codebase. It guides the user through smart error grouping (e.g., grouping by ImportError or AttributeError), prioritizing fixes from infrastructure to business logic, and ensuring thorough verification to prevent regressions. Ideal for use after major refactoring, debugging CI/CD failures, or when explicitly tasked with making the test suite pass.

This skill reviews generated or changed test code against universal testing rules before deployment. It prevents common failure modes like mock-heavy unit tests, near-duplicate test bodies, and tests that re-verify the framework. It enforces best practices such as testing behavior over implementation, justifying mocks at system boundaries, and ensuring every test has a clear justification. Use it when reviewing diffs, new test files, or when writing new tests to ensure high-quality, maintainable test suites.

Build end-to-end tests with TestDriver.ai, an AI code reviewer that runs every pull request in a real desktop sandbox, finds bugs, and creates regression tests for web, Electron, and native apps.

This skill generates comprehensive TestNG tests in Java, supporting groups, data providers, parallel execution, and XML suite configuration. It helps users create robust test suites with listeners, soft assertions, and lifecycle annotations. Ideal for Java projects requiring automated testing, CI/CD integration, and scalable test execution strategies.