Skill UI

This skill provides comprehensive, programmatic automation capabilities for the Telegram platform via Rube MCP. Users can manage virtually every aspect of Telegram interaction, including sending various media types (text, photos, documents), retrieving detailed chat information, listing members, editing and deleting messages, and setting custom bot commands. It is essential for building sophisticated, automated bot workflows and integrations.

Send messages, files, and alerts via Telegram bot API. Supports inline button questions for approvals and CI/cron notifications. Ideal for workflow automation, long-running task updates, and interactive approval gates without complex installation.

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.

Provision and manage Azure infrastructure with Terraform using the AzureRM provider, covering provider configuration, remote state, resource groups, VNets, AKS, Key Vault, examples, and production workflows.

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.

Expert in Terraform and OpenTofu for Infrastructure as Code (IaC). Covers advanced module design, state management, multi-cloud deployments, and CI/CD automation. Ensures secure, scalable, and compliant enterprise infrastructure patterns through policy-as-code and GitOps workflows.

Jest testing patterns including factory functions, mocking strategies, TDD workflow, and best practices for component and data testing. Useful for writing unit tests, creating reusable test factories, and following red-green-refactor cycles.

This comprehensive workflow provides a complete cycle of quality assurance for software development. It covers every stage from defining the test strategy (TDD, Unit Testing) through integration, E2E testing, browser automation, performance profiling, security scanning, and final code review. Use this when setting up robust testing infrastructure or ensuring production-ready software quality.

Proactive threat hunting and detection engineering using Sigma/YARA rules, SIEM queries, and ATT&CK mapping for blue-team operations. Includes hypothesis-driven workflows, rule validation, and toolchain guidance.