Skill UI

This guide provides comprehensive checklists and technical guidance for automating TechSmith products, including Snagit and Camtasia. It covers API usage (COM API), key scripting considerations (PowerShell, Python), supported input/output types, and essential error handling procedures, enabling seamless screen capture and video editing automation.

This guide provides essential knowledge for handling common errors encountered when integrating with Veeva Vault. It covers REST API usage, VQL querying patterns, and VAPIL Java SDK concepts, helping developers manage document lifecycles and resolve issues like invalid sessions, insufficient permissions, or data validation conflicts in a life sciences CRM environment.

Provides comprehensive, enterprise-grade patterns for setting up and managing Veeva Vault across multiple environments. This guide is essential for implementing advanced, compliant deployment strategies in the regulated life sciences sector, covering API usage (VQL, VAPIL) and best practices for data validation and security.

This guide provides comprehensive documentation and best practices for interacting with the Veeva Vault platform. It covers REST API usage, writing effective VQL (Vault Query Language) queries, and utilizing the VAPIL Java SDK. It also details common error handling procedures and addresses rate limit guidance for developers working in life sciences and CRM environments.

A comprehensive guide to optimizing Webflow usage costs. This skill teaches advanced strategies for reducing API expenses by prioritizing CDN-cached reads (free and unlimited), implementing bulk endpoint operations, caching collection schemas, and replacing inefficient polling with Webhook-driven updates. It also provides methods for API usage monitoring and recommending the optimal site plan.

This utility collects comprehensive diagnostic evidence necessary for troubleshooting Webflow integrations and API usage. It automatically gathers crucial data points into a single, support-ready diagnostic bundle. Key metrics include the Webflow SDK version, API token validation status, rate limit headers, site connectivity reports, CMS health checks, and recent error logs, significantly streamlining the technical support process.

Implement a comprehensive observability stack for Webflow Data API v2 integrations. This skill provides structured code using Prometheus metrics, OpenTelemetry distributed tracing, and structured logging (pino) to monitor API call frequency, latency, error rates, and rate limit usage. Ideal for developers building robust, production-grade Webflow-connected SaaS applications that require deep performance insights and reliable alerting.

This module provides essential abstractions for managing and accessing environment configurations within the admin panel. It introduces `EnvConfig` (for static type/instance access) and `useEnvConfig` (a hook for component usage). It ensures that environment-specific settings (such as API endpoints or keys) are managed centrally, improving code modularity and maintainability across different deployment environments.

This module provides multiple standardized abstractions for interacting with the OpenSearch API. It includes dedicated abstractions for clients, factories, and operational contexts, allowing developers to implement robust, scalable, and type-safe interactions with OpenSearch within the webiny ecosystem. Use these patterns to ensure consistent data access regardless of the specific usage pattern.

Provides comprehensive guidelines for integrating the Wispr Flow voice-to-text API into development environments. This skill covers both low-latency WebSocket streaming and simpler REST endpoint usage. It is essential for building voice-powered applications, including real-time dictation, command-line interactions, and context-aware code transcription across multiple platforms (Mac, Windows, iOS).

Provides comprehensive guidance for optimizing the performance of the Wispr Flow voice-to-text API. This skill covers best practices for integrating dictation, streaming, and building robust voice-powered applications. It details optimal WebSocket usage, recommended audio formats (16kHz PCM), context setting for specialized fields like programming, and robust error handling strategies (e.g., 401 Unauthorized, network disconnects).

This comprehensive checklist provides guidance for integrating the Wispr Flow voice-to-text API into a production environment. It covers best practices for both WebSocket and REST API usage, addressing critical elements like authentication, robust error handling (e.g., 401 Unauthorized or network disconnections), and optimizing performance. It is essential for building reliable, voice-powered applications, especially those handling complex contexts like programming code and CLI commands.