Skill UI

This skill automates the process of renting, configuring, and managing GPU instances on vast.ai for deep learning and AI tasks. It analyzes the task requirements (VRAM, GPU count, estimated time) from the experiment plan or user input, searches for the most cost-effective and reliable GPU offers, and manages the entire resource lifecycle, ensuring efficient and economic AI training.

This comprehensive skill guide details how to correctly integrate and manage Firebase Authentication within Flutter applications. It covers initial setup, real-time state observation using streams, and implementing various sign-in methods, including email/password, phone, and major social providers (Google, Apple). It also emphasizes secure coding practices, error handling, and state management best practices.

This skill teaches defensive programming techniques for Go, aiming to prevent common runtime bugs, panics, and silent data corruption. It covers critical topics such as nil safety (interfaces, maps, slices), handling slice aliasing via append, numeric overflow prevention, and correct resource management using defer.

Manage Lark calendar events and meetings: view and search schedules, create or update events, manage attendees, check free-busy status, recommend open time slots, and find or book meeting rooms. Best for coordinating meetings and daily schedules.

This skill provides comprehensive management capabilities for Lark Minutes (妙记). Users can search for minutes using keywords, participants, or time ranges; retrieve basic metadata (like title, duration); and perform media operations. Furthermore, it supports uploading raw media files, which are then processed and saved as structured minutes.

Automates the complete DocuSign e-signature lifecycle using Rube MCP. This tool enables users to list document templates, create and send secure envelopes, assign recipient roles, and monitor real-time signing status. It streamlines document management and contract workflows from draft to completion.

Produces production-ready Dataverse SDK code for Python, showcasing advanced error handling and retries, batch operations, OData query tuning, metadata lifecycle management, configuration/timeouts, cache invalidation, chunked file uploads, and Pandas integrations with references.

This skill is designed for managing scheduled or recurring automated tasks. Use it when a task needs to execute at a future time or repeat on a defined schedule (e.g., daily, weekly, hourly). Features include creating, listing, viewing status, pausing, resuming, and deleting scheduled jobs, ensuring reliable long-term automation workflows.

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.

Provides comprehensive guidance on determining the optimal scaling strategy for Qdrant vector databases. Covers when to transition from vertical to horizontal scaling, how to select the right number of nodes and shards, and best practices for setting replication factors to ensure zero-downtime operation and fault tolerance. Also details proper shard management and common scaling pitfalls to avoid.

This guide details Algolia's security best practices, focusing on scoped API keys. It covers essential concepts like separating API keys for frontend vs. backend use, applying the principle of least privilege, and generating secured, time-limited, per-user keys. It also provides a complete procedure for key rotation to maintain a robust production security posture.

This comprehensive workflow manages the full property lifecycle using the AppFolio API. It handles authentication, creating and updating property records and units, onboarding new tenants, generating lease agreements, and querying real-time occupancy/vacancy data. Ideal for automating core real estate management tasks in a SaaS environment.