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This guide provides the reference architecture and best practices for integrating Wispr Flow's voice-to-text API. It details how to utilize both WebSocket (for low-latency streaming) and REST APIs, covering essential concepts like audio format requirements, context awareness (especially for programming code), and comprehensive error handling strategies.

This pattern provides comprehensive guidance for integrating the Wispr Flow voice-to-text API. It covers best practices for both low-latency WebSocket streaming and simpler REST API usage. Key topics include authentication, recommended audio formats, robust error handling, and context awareness (e.g., understanding code or CLI commands), making it ideal for building advanced voice-powered applications.

This guide provides essential security and technical guidance for integrating Wispr Flow's voice-to-text API. It covers best practices for authentication (API keys, access tokens), utilizing streaming methods like WebSockets, handling common API errors, and optimizing context awareness for high-accuracy transcription in various applications.

A comprehensive guide for migrating and integrating with the Wispr Flow voice-to-text API. This skill details best practices for both WebSocket (low-latency streaming) and REST API methods. It covers authentication, optimal audio formatting (16kHz mono PCM), context awareness for specialized jargon (e.g., code), and robust error handling across multiple platforms (Mac, iOS, browser).

A comprehensive guide for integrating the Wispr Flow voice-to-text API using webhooks. This skill covers best practices for real-time speech recognition, including low-latency WebSocket streaming and robust REST API calls. It is essential for developers building voice-powered applications, dictation tools, or any system requiring advanced audio processing and context-aware transcription.

This tool allows users to execute complex, multi-agent workflows defined in YAML format directly within the AI environment. It functions as an orchestration engine, sequentially invoking various specialized roles (agents) without requiring manual API key configuration. Ideal for structured tasks requiring collaboration between multiple personas.

This comprehensive guide provides structured troubleshooting and error handling advice for developers integrating with the Workhuman Social Recognition and Rewards APIs. It covers critical API concepts, including OAuth 2.0 authentication, managing point-based nominations, and synchronizing data with major HRIS systems like Workday and SAP SuccessFactors. Use this resource when building complex HR workflows or integrating Workhuman into platforms like Slack or Teams.

This guide provides detailed instructions on configuring API access for Workhuman, utilizing the OAuth 2.0 protocol. It is essential for integrating external Human Resources Information Systems (HRIS) or building custom workflows for employee recognition and rewards management. Users will learn how to obtain access tokens and programmatically interact with Workhuman's social recognition features.

This guide provides comprehensive technical details and rate limit guidance for integrating with the Workhuman Social Recognition and Rewards API. It covers key concepts such as OAuth 2.0 authentication, peer-to-peer recognition workflows, and bidirectional synchronization with major HRIS systems (e.g., Workday, SAP). Use this when developing applications that automate employee recognition, manage rewards, or build complex HR workflows.

This guide provides the reference architecture for integrating Workhuman's Social Recognition and rewards APIs. It details key concepts like OAuth 2.0, peer-to-peer recognition, and configurable awards. Use this skill when building complex employee recognition workflows, syncing data bi-directionally with HRIS systems (e.g., Workday, SAP), or integrating with collaboration tools like Slack and Microsoft Teams.

This wrapper provides a mechanism to integrate x402 payment walls into Node.js/Express APIs. It enforces micropayments (USDC on Base L2) for API access, enabling robust machine-to-machine (M2M) monetization. By acting as middleware, it requires valid payment signatures, ensuring that every API call is monetized and payments are liquidated atomically.

A browser-based skill for search, web scraping, login-required actions, and dynamic page interaction. Use it to access real websites, extract content, and operate pages in a live Chrome environment.