Skill UI

This skill is designed to enhance the reading efficiency of AI-generated text, such as responses from large language models. It utilizes Rapid Serial Visual Presentation (RSVP) combined with Spritz-style Optimal Reading Pace (ORP) highlighting. By employing this method, users can significantly increase their reading speed to over 600 WPM, allowing for rapid consumption and comprehension of vast amounts of digital text.

This skill simulates a cloud cost optimization expert specializing in reducing infrastructure expenses across AWS, Azure, and GCP. It analyzes complex cloud spending patterns, identifies waste, overprovisioning, and potential savings opportunities. It provides actionable recommendations, implements cost controls, and proposes cost-effective, reliable architectures, ensuring cost efficiency without sacrificing performance or reliability.

A comprehensive guide to optimizing Granola's output quality across three dimensions: audio transcription accuracy, AI enhancement quality, and overall processing speed. Learn best practices for hardware setup, ideal meeting habits, and structuring your templates to maximize AI output reliability and efficiency.

This guide provides a comprehensive strategy for managing and reducing expenses within the Lindy AI platform. Learn how to audit agent credit consumption, right-size models by using less expensive versions for simple tasks, consolidate redundant agents, and optimize trigger frequency. Implementing these steps ensures cost efficiency and sustainable operation of your AI workflows.

This comprehensive workflow automates the entire meeting documentation process. It handles live or recorded audio input, performing accurate transcription with speaker diarization. Subsequently, it leverages advanced AI models to generate detailed summaries, extract key action items, draft follow-up emails, and create structured meeting minutes, significantly enhancing organizational knowledge retention and operational efficiency.

Monitor the adoption, feature usage, and overall Return on Investment (ROI) of AI tools like Windsurf. This skill provides comprehensive analytics, including daily active users, completion acceptance rates, and estimated time saved. It allows teams to set up usage alerts, identify underutilized seats, and build custom extensions to measure deep usage patterns, ensuring maximum team efficiency and quantifying AI impact.

Provides a read-only report showing how much the context-mode feature has preserved session data, including token consumption, savings ratio, and tool-by-tool breakdown for evaluating context efficiency.

This utility compresses verbose natural language notes, memories, and documents (like markdown files) into a highly dense format. By eliminating filler words, redundant phrases, and grammatical fluff, it significantly reduces the token count for large inputs. Crucially, it strictly preserves all technical content, including code blocks, inline code, URLs, file paths, and commands, ensuring technical accuracy while boosting AI processing efficiency.

Automate routine HelpDesk tasks using the dedicated Rube MCP toolkit. This skill allows users to list, browse, and paginate through support tickets, manage predefined agent views, retrieve canned responses, and inspect custom field definitions, streamlining entire support workflows and improving operational efficiency.

This guide details advanced techniques for searching cricket matches by leveraging precise numerical scoring data. Instead of broad terms, users should utilize specific details—such as team totals (e.g., 168/9), runs off balls, wickets taken, or over details—combined with the match type and year to create highly targeted search queries. This method significantly improves search accuracy and efficiency when researching sports statistics.

This guide provides a comprehensive framework for optimizing operational costs within the Glean enterprise search platform. It details best practices for content governance, including filtering stale drafts and limiting document sizes, optimizing data source connectors, and implementing incremental indexing strategies. Implementing these measures helps minimize indexing volume and usage fees, maximizing search value while maintaining cost efficiency.

Activate this skill when students provide study materials and a syllabus, helping them prepare for exams. It extracts highly structured, exam-ready content, including key definitions, crucial points, keywords, diagrams, sample answers, and practice questions, ensuring all information is strictly derived from the provided notes to maximize study efficiency.