Skill UI

A comprehensive guide and implementation pattern for enforcing granular Role-Based Access Control (RBAC) on the Exa search API in multi-tenant or enterprise environments. This skill demonstrates how to implement API key scoping, restrict search domains by role, enforce maximum result limits, and track daily usage to ensure robust data governance and security.

This comprehensive guide details essential security practices for integrating the Exa API. It covers key areas such as secure API key management using environment variables, implementing content moderation to filter unsafe results, restricting results via domain allow/block lists, and sanitizing user queries to prevent injection attacks. Use this when hardening or auditing an Exa-powered application.

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

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.

Guides building async FastAPI services with Pydantic V2 models, JWT auth, SQLAlchemy async, WebSocket, and OpenAPI, ensuring production-grade standards for REST endpoints, schema validation, and docs.

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.

Automates guidance for API filtering query builder tasks, offering industry best practices, production-ready code, and validation across REST, GraphQL, OpenAPI, and authentication design patterns.

This comprehensive skill covers the full scope of Firebase services, including Authentication, Firestore, Cloud Functions, and Hosting. It goes beyond basic implementation, focusing on critical architectural principles: adopting a query-first, denormalized NoSQL mindset. Key insights include mandatory security rule design, optimal data modeling for performance, and correctly utilizing modular SDKs to build scalable and secure backends.

This skill guides the end-to-end development, deployment, and secure integration of complex AI features into Firebase applications. It covers setting up Cloud Functions, Firestore/Storage rules, Authentication, and connecting robustly with Vertex AI/Gemini for advanced AI capabilities. Focuses on building production-grade, highly secure, data-intensive AI systems.

This guide outlines how to implement robust Role-Based Access Control (RBAC) for Firecrawl scraping resources. It allows enterprises to manage multiple API keys, enforce per-team credit consumption limits, and restrict scraping to specific allowed domains (allowlisting). Use this when scaling scraping operations across various departments or services that require granular resource governance and budget tracking.

Automated Firestore index guidance for GCP Skills, triggering on index creator requests to deliver best-practice configs, validation, and production-ready code for Firebase/BigQuery/Vertex AI workloads.

Manages Firebase/Firestore CRUD, queries, batch jobs, and security for applications while extending to A2A agent messaging, MCP server integration, and Cloud Run coordination for advanced workflows.