Skill UI

A robust utility for managing API calls to ElevenLabs, handling complex rate limiting, concurrency queuing, and quota monitoring. It implements plan-aware concurrency controls (managing 'too_many_concurrent_requests') and exponential backoff strategies for system overloads ('system_busy'). This is essential for building reliable, high-throughput Text-to-Speech applications.

A comprehensive checklist for pre-deployment and go-live procedures for Flexport logistics integrations. This guide covers critical areas such as API authentication setup, robust webhook handling (including idempotency and dead-letter queuing), data integrity validation, continuous monitoring setup, and safe rollback strategies when deploying to a production environment.

A comprehensive guide and toolkit for optimizing Hex platform costs. This resource details strategies for reducing compute expenditure by auditing seat licenses, consolidating data connections, and optimizing notebook run schedules. It includes code examples for implementing result caching and usage monitoring to prevent unexpected billing spikes.

A comprehensive guide for deploying BambooHR integrations to a production environment. This checklist covers all critical stages, including pre-deployment authentication checks, API request quality assurance, data integrity validation, security compliance (PII redaction, webhook verification), robust monitoring setup, and detailed rollback procedures. It ensures a smooth and reliable go-live process.

This skill implements Alchemy Notify webhooks to provide real-time, event-driven notifications for on-chain activities. Instead of continuous polling, it allows applications to receive callbacks for wallet transfers, confirmed transactions, dropped transactions, or NFT events. Use it for building real-time dApp features, monitoring critical wallet activity, or integrating payment confirmations into your blockchain applications.

This guide provides a comprehensive observability stack for Apple Notes on macOS. Since Notes lacks a built-in metrics API, this solution demonstrates how to monitor key health indicators—such as note/folder counts, system latency, and iCloud sync daemon status—by polling via JXA and Bash scripts. It includes scripts for scheduled health checks, trend visualization, and robust error handling for production monitoring environments.

A comprehensive solution designed to monitor changes (add, modify, delete) within Apple Notes on macOS. Since Notes lacks a native webhook or event streaming API, this skill provides three robust methods—JXA Polling, FSEvents monitoring, and Shortcuts automation—allowing developers to build reliable, near real-time event systems for integrating Notes data into automated workflows.

This tool provides comprehensive integration for Reolink security cameras, supporting both RTSP streaming and HTTP API access. It allows users to discover cameras via ONVIF, capture live streams, take snapshots, and even capture motion-triggered video clips. It is ideal for developers building robust, networked surveillance or monitoring systems.

This guide details how to configure webhook notifications and utilize audit logs from CAST AI. It allows users to set up real-time alerts for critical cluster events like node scaling, cost threshold breaches, and security findings. By integrating with Slack, PagerDuty, and custom HTTP endpoints, users can achieve comprehensive monitoring and automated response for their infrastructure.

This guide provides a comprehensive walkthrough for interacting with the Clari API to export critical business data. It covers listing available forecasts, initiating the export of forecast and quota snapshots, monitoring the job status, and ultimately downloading and parsing the structured data. This skill is ideal for testing API connectivity and integrating Clari's revenue intelligence into external data pipelines.

This skill provides real-time monocular depth estimation using advanced models like Depth Anything v2. It transforms live camera feeds by generating colorized depth maps, enabling depth overlays and detailed scene understanding. Crucially, it supports a 'privacy mode' that anonymizes visual identities by using depth-only transformation, preserving only the spatial layout and movement patterns for secure monitoring purposes. Optimized for both CoreML on macOS and PyTorch on other platforms.

This skill provides methods to optimize ElevenLabs usage costs for Text-to-Speech (TTS) workloads. It covers model selection (e.g., using Flash/Turbo for savings), implementing character-efficient text pre-processing to reduce character count, and setting up real-time quota monitoring with budget alerts. Ideal for developers managing high-volume, cost-sensitive voice applications.