Skill UI

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 skill provides comprehensive integration for TP-Link Tapo cameras (models like C200, C310, etc.). It supports streaming via RTSP and ONVIF protocols, allowing users to discover cameras on the network, capture motion-triggered video clips, and maintain stable live video feeds. Setup requires basic network credentials and Python environment setup.

This skill provides comprehensive observability for ClickUp API integrations. It instruments API calls to capture key metrics like request rate, latency percentiles, error counts, and rate limit usage. It integrates with Prometheus for metrics, OpenTelemetry for distributed tracing, and structured logging for detailed event tracking. Use it to build robust dashboards and set up critical alerts for API performance issues.

A comprehensive tool for creating high-quality training datasets for custom object detection and segmentation models. It supports multiple advanced annotation methods including BBox drawing, SAM2 pixel-perfect segmentation, and DINOv3 visual grounding. Features include AI auto-detection, object tracking, and standardized COCO format export, streamlining the entire data pipeline from capture to training.

This guide provides an expert framework for directory submissions, transforming them from simple listings into a foundational marketing layer. Learn how to strategically submit your SaaS or AI product to major directories (like Product Hunt, G2, and AI registries) to build high-authority backlinks, boost domain rating, and capture in-market buyer attention. It emphasizes building optimized destination pages (alternatives, use-cases) *before* submission to maximize lead conversion.

This workflow automates post-meeting intelligence management. It syncs detailed meeting notes, summaries, and action items captured by Fathom to major CRMs like Salesforce or HubSpot. It also generates tailored follow-up emails and maintains a structured meeting history database, ensuring seamless follow-through and accurate record-keeping after every meeting.

This utility collects comprehensive diagnostic evidence for troubleshooting Flexport API integration issues. It automatically captures API connectivity tests, authentication status, recent error logs, and platform status, packaging them into a secure, redacted bundle ready for support tickets. Ideal for developers encountering persistent API failures.

This bundle collects comprehensive diagnostic evidence for troubleshooting Grammarly API integration issues. It captures API connectivity status, text check responses, authentication details, and rate limit headers. Use this when encountering persistent errors, preparing detailed support tickets, or performing automated health checks on Grammarly services.

This comprehensive workflow automates the entire sales journey within HubSpot CRM. It handles lead capture and upserting contacts, creating or retrieving associated companies, and subsequently generating a new deal in the defined sales pipeline. Users can also advance deal stages and log activity notes, ensuring a complete and traceable end-to-end sales process automation. Ideal for implementing robust lead nurturing and sales operations.

This skill helps users create specialized 'steering documents' or project memory for highly specific domains (e.g., API standards, testing strategies, security patterns). By analyzing the existing codebase and following predefined architectural principles, it synthesizes concise, actionable guides that capture technical patterns, best practices, and domain-specific rules, ensuring project consistency and knowledge retention.

This skill integrates LangChain 1.0 and LangGraph 1.0 into standard OpenTelemetry (OTEL) backends (e.g., Jaeger, Honeycomb, Tempo). It solves critical observability gaps by ensuring correct prompt content capture, propagating spans across complex subgraphs, and providing five LLM-specific Service Level Objectives (SLOs) like latency and cost. Ideal for multi-tenant, compliance-sensitive, or existing OTEL stack environments where LangSmith is unsuitable.

Provides comprehensive observability for Miro REST API v2 integrations. It captures critical metrics using Prometheus (request rates, latency, error tracking) and OpenTelemetry traces for end-to-end request flow visibility. Includes structured logging for detailed debugging and robust rate limit management, ensuring your applications are highly reliable and maintainable.