Skill UI

This skill provides a robust system for tracking all code modifications using structured JSON records and enforcing a defined state machine (e.g., planned -> deployed). It is critical for AI coding workflows, ensuring that if a session expires or is abandoned, the next session receives the full context, progress summary, and blockers to resume seamlessly. Ideal for complex, multi-stage development projects and onboarding new codebases.

This skill helps create detailed step-by-step technical tutorials, quickstarts, and code walkthroughs. It focuses on clear prerequisite handling, environment setup instructions, and troubleshooting sections to ensure users achieve successful results. Suitable for developers needing structured guidance on software implementation and project initialization.

This skill provides comprehensive integration with the Telegram Bot API, covering setup via BotFather, message handling, webhooks, inline keyboards, groups, and channels. It includes boilerplate code for Node.js and Python to help developers quickly build and deploy messaging bots without starting from scratch.

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.

Expert in building Telegram bots that solve real problems - from simple automation to complex AI-powered bots. Covers bot architecture, the Telegram Bot API, user experience, monetization strategies, and scaling bots to thousands of users.

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.

This skill provides pre-configured project scaffolding templates for initiating new applications from scratch. It covers 12 diverse technology stacks including Next.js, Express, Python FastAPI, React Native, Flutter, and more. Users can select the appropriate template based on their project type, such as full-stack web apps, APIs, mobile applications, or desktop software. It streamlines the setup process by offering ready-made structures and configurations tailored to specific development needs.

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.