Skill UI

Generates Excalidraw diagrams from natural-language prompts, turning requests such as “make a flowchart” or “draw a system architecture” into ready-to-open .excalidraw JSON files for flows, relationships, mind maps, and architectures.

Provides automated guidance for business automation workflows focused on building, validating, and optimizing Excel formulas, helping teams iterate on spreadsheets, email processing, and workflow optimization quickly.

Automates Excel macro creation and configuration by guiding workflows, ensuring best practices, generating production-ready code, and validating outputs to accelerate business automation tasks like workflow orchestration, email handling, and spreadsheet operations.

Automates enterprise executive summary creation by guiding workflows, enforcing best practices, and generating production-ready outputs for governance, compliance, and integration scenarios.

This skill provides comprehensive guidance on deploying Expo applications to production across multiple platforms, including iOS, Android, and Web, utilizing Expo Application Services (EAS). It covers the full lifecycle, from building and configuring profiles (eas.json) to submitting builds to App Store Connect, Google Play, and TestFlight. Furthermore, it details deploying web bundles, managing app versions, optimizing App Store metadata, and implementing automated CI/CD workflows.

Auto-activating backend helper that guides Express route design, produces production-ready code/config, and validates outputs for Node.js, Python, Go, and microservices scenarios.

Automates Factorial workflows via Composio’s Rube MCP by discovering current tool schemas, managing the toolkit connection, and executing schema-compliant ops with session reuse and memory handling.

Automates guidance for implementing factory patterns within test automation, offering best-practice code generation, validation, and setup assistance for unit, integration, and mocking scenarios.

Manages FairDB PostgreSQL backups via pgBackRest and Wasabi S3, automating scheduling, integrity verification, PITR restores, monitoring, and compliance reporting for resilient disaster recovery.

FAISS (Facebook AI Similarity Search) is a library designed for efficient similarity search and clustering of dense vectors. It supports indexing and searching on billions of vectors at scale, featuring GPU acceleration and multiple index types (Flat, IVF, HNSW, PQ) to balance speed and accuracy. It is essential for building high-performance, large-scale applications requiring fast k-NN retrieval or pure vector similarity matching, especially in fields like RAG and recommendation systems.

This skill provides comprehensive APIs and patterns for managing AI models, tracking usage, and handling pricing structures within a platform environment. It is essential for developers needing to integrate robust model lifecycle management, usage monitoring, and billing logic into their applications.

This skill provides functionality to upscale and enhance the resolution of both images and videos using advanced Artificial Intelligence models. It is useful for improving visual quality, restoring detail, and increasing the clarity of low-resolution media assets for creative and professional use.