Skill UI

This tool enables deep inspection and validation of web applications by connecting to the browser's DevTools Protocol (MCP). It allows agents to perform tasks like DOM inspection, capturing console logs, monitoring network requests, profiling performance, and taking screenshots in a live environment. Essential for debugging UIs, validating API integrations, and performing end-to-end automated testing.

A comprehensive guide for integrating and utilizing Firebase Data Connect within Flutter applications. Learn how to set up schemas, write typed GraphQL queries and mutations, handle real-time data streams, implement robust offline capabilities, and apply best practices for security and performance.

A comprehensive guide detailing best practices for database interaction in Go. It covers secure query writing using parameterized placeholders, handling transactions, managing connection pooling, dealing with NULLable columns, and choosing between libraries like sqlx and pgx, while strongly advising against using ORMs.

This comprehensive guide covers best practices for building robust, production-ready gRPC microservices in Go. It details proper protobuf organization, utilizing interceptors for cross-cutting concerns (logging, auth), implementing graceful shutdowns, handling gRPC status codes, and optimizing client connections with deadlines and retry policies. Essential for engineers designing reliable distributed systems.

A robust CLI tool for connecting to Lark/Feishu real-time events. It allows streaming, subscribing, and consuming various events (e.g., IM messages, reactions, meeting updates) as NDJSON output. Ideal for developing Lark bots, building real-time message processors, or implementing long-running streaming webhook handlers, especially in AI agent subprocesses.

Build interconnected Excel financial models (income statement, balance sheet, cash flow, DCF, cap table, scenarios) driven by an assumptions sheet so each output updates automatically from provided inputs.

Guides zero-to-live Star Office visualization for Aion/OpenClaw by installing, starting, connecting, and troubleshooting the local UI service, checking ports/auth, and offering alternative open-source monitors when needed.

A comprehensive guide and set of tools for programmatically building, scaffolding, and deploying Power Automate cloud flows using the FlowStudio MCP server. It guides agents through the entire workflow, including checking for existing flows, resolving connection references, defining actions, and final deployment/testing, all without needing to open the portal.

This comprehensive CLI tool enables users to manage all core resources within Azure DevOps from a command line interface. It provides full control over CI/CD pipelines, source code repositories (Git), work items (Boards), artifacts, and service connections. Ideal for scripting, advanced automation workflows, and integrating DevOps processes into larger continuous delivery systems.

This skill analyzes an entire .NET solution (containing multiple projects) to map out a systematic migration path from Oracle to PostgreSQL. It scans for common Oracle indicators (NuGet packages, connection strings, code usage) and classifies every project into categories like MIGRATE, SKIP, or ALREADY_MIGRATED. The output is a structured, actionable Master Migration Plan, helping development teams manage large-scale database transitions efficiently.

This skill provides advanced debugging capabilities for failing Power Automate cloud flows using the FlowStudio MCP server. Unlike the limited status codes from the standard Graph API, this tool gives agents deep, action-level inputs and outputs, allowing users to find the true root cause of failures. It is essential for diagnosing complex issues like expression failures, connector authentication errors, or internal run errors.

This is the foundational plumbing layer connecting AI agents to the Power Automate platform via FlowStudio MCP. It provides essential capabilities such as secure authentication setup, robust tool discovery (`list_skills`, `tool_search`), and handling complex, oversized API responses. It serves as the prerequisite layer for specialized workflow skills (e.g., building, debugging, monitoring).