Skill UI

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.

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 AI-powered capabilities for advanced image manipulation. It specializes in style transfer, allowing users to apply the aesthetic characteristics of one image to another, and object removal, enabling seamless retouching by eliminating unwanted elements. It is essential for designers, photographers, and artists requiring high-quality, creative photo editing and visual enhancement.

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.

This skill provides guidance and patterns for generating structured JSON files that define complex workflow pipelines. It is essential for chaining multiple distinct AI models together, enabling multi-step, automated data processing. Use this when a single task requires a sequence of interconnected AI operations or services.

This guide provides a comprehensive pattern for creating robust and scalable FastAPI routers. It covers essential best practices, including implementing proper authentication logic (required/optional dependencies), defining structured response models using Pydantic, and correctly assigning HTTP status codes. Use this skill when building structured and secure Python backend APIs.

This template provides production-ready FastAPI project skeletons, incorporating advanced features such as async patterns, dependency injection, middleware, and robust error handling. It is essential for developers starting new high-performance REST APIs, microservices, or complex backend systems in Python, ensuring adherence to best architectural practices.

Provides FDA regulatory guidance for medical device manufacturers encompassing pathway strategy for 510(k)/PMA/De Novo submissions, QSR compliance, HIPAA assessments, and cybersecurity planning to support premarket filings.

Automates Feathery operations through Composio’s Rube MCP by enforcing tool discovery, connection validation, schema compliance, and consistent session/memory handling before executing workflows.

Guides structured requirements workshops to capture feature specifications, user stories, EARS-format functional requirements, acceptance criteria, and implementation checklists for planning new development.

Automates guidance on assessing feature importance for machine learning training, covering data prep, model training, tuning, and experiment tracking while generating production-ready code, configurations, and validation instructions for best-practice compliance.