Skill UI

Uses the Gemini API to autonomously plan, search, read, and synthesize detailed research reports with streaming status updates, structured outputs, and the ability to continue previous investigations for market analysis, technical reviews, or due diligence.

Automate AI video creation workflows via the HeyGen-Composio MCP integration to browse avatars/templates, populate variables, generate videos, check processing status, and fetch shareable URLs.

Guides connecting a Rube MCP client to Perplexityai via Composio, from discovering up-to-date tool schemas through RUBE_SEARCH_TOOLS to executing actions in RUBE_MULTI_EXECUTE_TOOL while monitoring connection status.

This skill provides implementation patterns for achieving observability in AI voice agents and telephony platforms built with Retell AI. It guides users on how to monitor the performance, status, and interactions of automated voice agents and phone calls. It also includes essential guidance on common API error handling (e.g., 401 Unauthorized, 429 Rate Limited), ensuring robust and reliable system operation.

The /hub:status command provides a comprehensive overview of an AgentHub session. It displays the current state of agent branches, commit counts, frontier status, and recent board updates. This is useful for monitoring ongoing collaborative AI tasks, allowing users to track progress and identify which agents are active or have completed their tasks.

Roundup gathers GitHub, calendar, email, and chat data from your configured sources and synthesizes it into status briefings that match your tone, audience, and requested timeframe.

This skill is designed to manage complex, multi-step tasks by coordinating the efforts of multiple specialized AI agents. It provides structured methods for listing available agents, initiating real-time conversations, submitting complex background tasks (such as data analysis or report generation), tracking task status, and maintaining conversational context using session IDs. It is essential when a core task requires diverse expert knowledge or sequential collaboration.

Consult another agent for help, plans, reviews, or decision support in multi-agent workflows. Explains using list_agents() and chat_with_agent(), background submission and status checks, session ID reuse, and loop-avoidance best practices.

Utilize Anthropic Message Batches API for high-volume, asynchronous bulk processing of AI tasks. This method allows processing up to 10,000 requests per batch, ideal for summarizing large document sets or running repetitive tasks where immediate, synchronous results are not required. The process involves creating the batch, polling for status completion (within 24 hours SLA), and then retrieving detailed results, including success and error statuses for each item.

This bundle collects comprehensive diagnostic evidence for ElevenLabs services. It automatically gathers SDK versions, API connectivity status, quota usage, voice inventories, and available model metadata. Use this tool when encountering persistent bugs or preparing comprehensive support tickets for technical support.

This guide provides a comprehensive workflow for generating cinematic AI videos using Runway's Gen-3 Alpha model via the Python SDK. It covers the entire process from text-to-video task creation, polling for task completion status, to successfully downloading the final high-quality video output. Ideal for developers integrating advanced creative video generation into their applications.

This utility handles asynchronous webhook events from Together AI, enabling developers to build robust, event-driven Machine Learning pipelines. Instead of constantly polling the API for status updates (e.g., fine-tuning completion, batch job status, model deprecation), you can subscribe to these webhooks. It includes logic for signature verification, event routing, and idempotency, making it ideal for mission-critical AI workflows.