Skill UI

Automates guidance for creating architecture diagrams and visual documentation, following best practices and producing ready-to-use configurations for charts, presentations, and visualization tools.

Automate Astica AI workflows through Composio’s Rube MCP bridge by discovering tools with RUBE_SEARCH_TOOLS, managing Astica connections, and executing tasks via RUBE_MULTI_EXECUTE_TOOL while respecting dynamic schemas.

Automates Async Interview workflows by orchestrating Composio tools through the Rube MCP gateway; always discover current schemas first, verify toolkit connections, then run executions with schema-compliant arguments and session-aware bookkeeping.

Use Composio’s Rube MCP Atlassian toolkit to discover current schemas, verify toolkit connections, and trigger workflows for Jira/Confluence operations, always searching tools first to keep automation aligned with live schemas.

Use Composio’s Rube MCP Atlassian toolkit to discover current schemas, verify toolkit connections, and trigger workflows for Jira/Confluence operations, always searching tools first to keep automation aligned with live schemas.

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.