Skill UI

This skill acts as a Cognitive Psychologist, diagnosing a target audience's precise stage on the awareness ladder (from unaware to most aware). It applies psychological frameworks (like ELM) to calibrate the optimal messaging, language register, and persuasion strategy. Use it when you need to tailor marketing content, sales pitches, or educational materials based on the audience's current knowledge and readiness to buy, ensuring the message resonates and minimizes resistance.

This skill acts as a Consumer Psychologist and Persuasion Scientist, engineering copy that goes beyond mere writing. It applies evidence-based psychological mechanisms (like addressing awareness stages, JTBD, and emotional triggers) to create highly persuasive content. Use it when your marketing copy feels generic, needs stronger emotional hooks, or requires guiding the user through a specific behavioral sequence to achieve a desired action.

Generates comprehensive, structured landing pages designed for high SEO ranking and AEO (AI Extraction Optimization) citation. This skill builds a complete narrative arc, guiding visitors from awareness to action, and includes critical sections like problem statements, social proof, FAQs, and conversion-focused CTAs for maximum performance.

This skill teaches users how to optimize search queries for specific, structural information found within academic theses or dissertations. It emphasizes the critical need to include qualifying terms like "acknowledgment," "thesis," or "dissertation" in searches to successfully retrieve details about committee members, dedicating recipients, or other section-specific data, rather than just topic abstracts. This dramatically improves the relevance and accuracy of information retrieval.

A practical coach designed to develop the four core EQ competencies: self-awareness, self-regulation, empathy, and social skills. Utilizing concepts from affective neuroscience and established frameworks, it guides users to identify precise emotions, understand triggers, manage difficult feelings non-reactively, and improve interpersonal relationships while accounting for cultural emotional norms.

Implements robust rate limiting, backoff logic, and quota management for the Anthropic Claude API. It handles 429 errors and optimizes request throughput by managing Requests Per Minute (RPM), Input Tokens Per Minute (ITPM), and Output Tokens Per Minute (OTPM). This skill provides advanced strategies including SDK retries, custom header awareness, queue-based throttling, and batch processing for stable, high-throughput production applications.

This guide provides detailed instructions for optimizing cost and implementing voice-to-text API integrations using Wispr Flow. It covers best practices for WebSocket streaming, REST API usage, context awareness (like programming code), and robust error handling, helping developers build advanced voice-powered applications.

This technical guide provides comprehensive integration details for the Wispr Flow voice-to-text API. It equips developers with the knowledge to build sophisticated, voice-powered applications. Learn how to utilize WebSocket streaming for low latency or REST endpoints for simple transcription, ensuring accurate context awareness for code and development jargon across multiple platforms.

This comprehensive guide provides developers with best practices and detailed instructions for integrating the Wispr Flow voice-to-text API. It covers critical topics such as managing rate limits, choosing between WebSocket streaming and REST endpoints, handling common error codes (e.g., 401 Unauthorized), and optimizing context awareness, particularly for programming code and developer jargon. Essential for building reliable, low-latency voice-powered applications.

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.