Skill UI

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 guide sets up a fast, cost-effective local development loop for building applications powered by the Anthropic API (Claude). It includes instructions for hot reloading, cost-saving tips (e.g., using Haiku, token limits), and mock client implementation for robust unit testing. It supports both TypeScript/Node.js and Python environments, streamlining the AI development workflow.

This bundle is designed to collect comprehensive diagnostics for CoreWeave clusters, including GPU node status, Kubernetes Pod logs, event history, and API connectivity. It aggregates critical cluster-level resource allocation and failure data into a single, actionable archive. Use it when preparing a support ticket to expedite the diagnosis of complex infrastructure issues like stuck pods, OOM errors, or resource bottlenecks.

FastMCP CLI provides a unified command-line interface to interact with Model Context Protocol (MCP) servers. It allows users to discover available tools and invoke them programmatically using `fastmcp list` and `fastmcp call`. The CLI supports various server targets (HTTP URLs, local files, configs), complex argument types, and ensures structured output, making it essential for building automated, multi-tool workflows and system integrations.

A comprehensive diagnostic bundle designed to troubleshoot Fathom API connectivity, meeting sync failures, transcript availability, and authentication issues. It collects key data points (such as API status codes, rate limit headers, and meeting metadata) into a single archive, simplifying the process of diagnosing integration failures for support teams.

This guide provides advanced, deep debugging techniques for complex Figma REST API issues that resist standard error handling. It covers full network tracing (cURL), validating unexpected response shapes (TypeScript), measuring rate limits, and safely chunking large files. Use this when standard troubleshooting fails, or detailed evidence is required for support escalation.

This skill converts complex technical descriptions, such as system architectures, data flow diagrams, flowcharts, and sequence diagrams, into professional, production-quality SVG diagrams. It supports various technical models, including Agent and Memory architectures, and exports the final output as high-resolution PNG files for seamless documentation and presentation use.

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 guide details how to implement robust Role-Based Access Control (RBAC) for Flexport API integrations. It addresses enterprise needs by allocating scoped API keys and managing permissions at an application layer. Users can define specific roles (Viewer, Operator, Finance, Admin) with granular permissions, ensuring that different user roles can only access necessary endpoints, thereby enhancing security and supporting multi-tenant architectures.

Collects comprehensive diagnostic information for Fondo support tickets. This bundle checks API connectivity status, filing compliance, integration health (bank/payroll), and detects reconciliation discrepancies. Ideal for troubleshooting complex financial sync errors, tax filing issues, and general platform failures.

A comprehensive workflow for developing and testing financial applications integrated with Fondo. It enables developers to simulate or parse real Fondo exports (CSV/Accounting tools) locally, providing a fast feedback loop for building dashboards, calculating R&D credits, and analyzing burn rates without relying on live API connectivity. Supports mock data for rapid iteration and real export parsing for production validation.

A utility designed to collect comprehensive diagnostic evidence for Framer development issues. It automatically gathers runtime environment details, installed package versions, API connectivity status, and necessary configuration files. Use this when preparing detailed support tickets or troubleshooting persistent bugs related to Framer plugins or server-side APIs.