Skill UI

Automate comprehensive Instagram operations using Rube MCP. This tool allows users to programmatically create and publish single image/video posts and multi-item carousels. Key features include retrieving detailed media insights (reach, impressions), listing user content, checking publishing quotas, and managing comments. Ideal for marketing teams and developers needing structured social media workflow automation.

This guide details how to configure and manage resource constraints in ClickHouse, addressing server-side limits, user quotas, and connection management. Use it when encountering "too many simultaneous queries," optimizing resource usage, or implementing robust rate limiting strategies in applications connecting to ClickHouse. Covers SQL quota setup and client-side pooling techniques.

A comprehensive guide to implementing Role-Based Access Control (RBAC) in ClickHouse. Learn how to manage user authentication, define hierarchical roles, enforce row-level security (RLS) for tenant isolation, restrict data access via column-level grants, and manage resource consumption using quotas and settings profiles. Essential for multi-tenant SaaS and secure data analytics platforms.

A comprehensive guide and implementation pattern for handling rate limits and quotas across various Adobe APIs (Firefly, PDF Services, Photoshop, etc.). This includes implementing exponential backoff, honoring `Retry-After` headers, and proactive quota tracking to ensure stable, high-throughput batch operations and reliable integration.

Implements automated, multi-layered policy enforcement and guardrails for Adobe integrations. This skill provides crucial security checks, including detecting sensitive credentials (e.g., p8_ secrets), pre-screening content for services like Firefly (blocking trademarks or explicit material), and enforcing usage quotas for PDF Services. It is essential for maintaining secure and compliant CI/CD pipelines.

This setup provides a dedicated local development workflow for integrating with the AppFolio property management API. It allows developers to build and test complex integrations using sophisticated mock endpoints for rapid iteration, eliminating the need to consume live API quotas. Users can toggle between mock mode for swift iteration and sandbox mode for rigorous validation against the actual AppFolio Stack API, ensuring reliable and efficient development.

This guide provides advanced patterns for managing rate limits when integrating with the Canva Connect API. It covers implementing exponential backoff with jitter for retries, using queue-based throttling to control request throughput, and building proactive rate limit trackers. Ideal for building stable, production-grade integrations that must handle 429 errors and quotas gracefully.

This skill outlines how to implement and manage Role-Based Access Control (RBAC) and namespace isolation for multi-team GPU workloads running on CoreWeave's Kubernetes platform. It provides guidance on setting strict resource quotas, preventing noisy-neighbor issues, and defining granular roles (e.g., ML Engineer, Inference Operator). This is essential for maintaining resource isolation, ensuring compliance (SOC 2, HIPAA), and managing access across large-scale cloud deployments.

This guide details setting up and managing CoreWeave GPU cloud infrastructure across Development, Staging, and Production environments. It ensures strict resource separation using dedicated Kubernetes namespaces for GPU quotas and scaling policies. Use this when deploying complex ML/AI workloads requiring robust environment isolation and controlled promotion workflows.

This skill provides methods for managing GPU quota limits and rate restrictions for CoreWeave cloud services. It includes using `kubectl` to check resource quotas and demonstrates implementing robust request queuing mechanisms using Python's `asyncio` library, ensuring stable and efficient resource allocation for high-concurrency inference endpoints.

This skill implements a comprehensive solution for managing Miro REST API rate limits. It incorporates a credit-based monitoring system, exponential backoff with jitter, and request queuing. This ensures reliable, high-throughput data integration by respecting Miro's usage quotas and handling API throttling (429 errors) gracefully.

This skill provides advanced rate limit handling for the OneNote Graph API. It implements a token bucket algorithm and queue-based throttling mechanism to prevent hitting rate limits (429 errors). It correctly parses the 'Retry-After' header and manages both per-user and per-tenant usage quotas, ensuring stable, high-throughput integrations.