Skill UI

Automate Autobound operations through Composio’s Rube MCP by searching available schemas, reconnecting toolkits, and executing discovered tools with schema-compliant arguments in managed sessions.

Guides orchestrating Autom tasks through Composio’s Rube MCP by discovering available tool schemas, ensuring toolkit connections, and executing workflows with multi-tool calls while handling session reuse and pagination.

Guides orchestrating Autom tasks through Composio’s Rube MCP by discovering available tool schemas, ensuring toolkit connections, and executing workflows with multi-tool calls while handling session reuse and pagination.

This skill defines the mandatory conventions and architectural rules for developing maintainable, cross-platform applications using Avalonia UI and the Zafiro toolkit. It enforces a functional-reactive MVVM approach, prioritizing explicit error handling via Result types, and mandates leveraging Zafiro's existing abstractions to ensure code quality and predictability.

Provides expert AWS architecture, security, and implementation guidance backed by MCP tooling, helping teams choose services, migrate workloads, and troubleshoot production issues.

Orchestrate Ayrshare operations through the Composio Ayrshare toolkit via Rube MCP, covering tool discovery, connection checks, schema compliance, and multi-tool execution flows for reliable social publishing automation.

Orchestrate Ayrshare operations through the Composio Ayrshare toolkit via Rube MCP, covering tool discovery, connection checks, schema compliance, and multi-tool execution flows for reliable social publishing automation.

This is a low-level SDK for Java designed to create and manage persistent AI agents within Azure AI. It provides comprehensive tools for handling the entire agent lifecycle, including creating agents, managing conversation threads, sending messages, running agent processes, and cleaning up resources. Ideal for building robust, stateful AI applications requiring fine-grained control over agent interactions.

This is a low-level SDK for Java designed to create and manage persistent AI agents within Azure AI. It provides comprehensive tools for handling the entire agent lifecycle, including creating agents, managing conversation threads, sending messages, running agent processes, and cleaning up resources. Ideal for building robust, stateful AI applications requiring fine-grained control over agent interactions.

The Azure AI Projects SDK enables developers to build and manage sophisticated, end-to-end AI applications directly on Microsoft Foundry. It provides comprehensive client operations for managing agents, datasets, model deployments, and indexes. Key features include integrating diverse tools (like code interpreters and file search) and handling complex conversational flows, making it ideal for building production-grade AI workflows.

The Azure AI Projects SDK enables developers to build and manage sophisticated, end-to-end AI applications directly on Microsoft Foundry. It provides comprehensive client operations for managing agents, datasets, model deployments, and indexes. Key features include integrating diverse tools (like code interpreters and file search) and handling complex conversational flows, making it ideal for building production-grade AI workflows.

This is a high-level SDK designed for managing the complete lifecycle of AI projects within Azure AI Foundry. It provides comprehensive tools in TypeScript to create, manage, and evaluate sophisticated AI agents, handle resource connections, process datasets, deploy models, and build custom search indexes.