Skill UI

Automates Ably operations through Composio's Rube MCP toolkit, guiding users to discover available tools, validate active connections, and execute schema-compliant workflows without hardcoding tool slugs or arguments.

This SDK allows developers to build persistent, sophisticated AI agents directly on Azure AI Foundry. It supports complex conversational workflows by integrating external functions (tools), enabling code execution, web search, and maintaining conversation history through dedicated thread management. Ideal for developing enterprise-grade, production-ready AI applications.

This guide details how to use the Azure AI Projects SDK to programmatically define and deploy sophisticated, container-based hosted agents. It covers essential steps including setting up prerequisites, managing container images, specifying resource limits (CPU/memory), and integrating various tools like code interpreters, enabling robust AI agent deployment in Azure AI Foundry.

Master modern API documentation using OpenAPI 3.1, AsyncAPI, and advanced AI tools. This skill facilitates the creation of world-class, interactive developer portals, robust SDK generation, and comprehensive API specifications. It ensures documentation is always accurate, actionable, and significantly improves the overall developer experience (DX), reducing time-to-integration.

Document that explains how to automate API Ninjas operations via Composio’s Rube MCP integration: search for tools, ensure an active API Ninjas connection, and run workloads with schema-compliant inputs and memory/session handling.

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.

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.

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.