Skill UI

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.

This comprehensive skill is designed to retrieve content from various Feishu cloud documents, returning the raw Markdown format. It provides advanced logic for handling Wiki URLs by first determining the actual document type (Docx, Sheet, Bitable) before calling the appropriate specialized tool. Furthermore, it guides the user on how to separately download and process embedded media like images, files, and whiteboards using dedicated media tools.

A comprehensive guide for accessing and managing Feishu IM messages. This skill allows users to retrieve historical chat records from both group and private conversations, read detailed thread replies, and conduct cross-conversation searches using keywords or time filters. It also supports downloading all types of embedded media, including images, files, audio, and videos, ensuring complete information recall.

A comprehensive guide to diagnosing and fixing common technical and workflow errors encountered in the Finta fundraising CRM. It covers API status codes (400-502), data validation issues (e.g., duplicate investors, missing fields), and synchronization breakdowns for investors, pipelines, and emails. Essential for maintaining data integrity during fundraising operations.

This guide provides comprehensive strategies to optimize financial workflows within the Fondo system. Key areas covered include accelerating the month-end close process through auto-categorization rule setup, streamlining vendor communications with CPAs via batch processing, and implementing efficient data export caching mechanisms. It is designed to help finance teams achieve faster, more accurate, and highly automated financial reporting.

This skill restructures AI-generated content to maximize cognitive accessibility, specifically optimized for users with ADHD or neurodivergence. It uses evidence-based techniques such as chunking, visual hierarchy, front-loading key points, and progressive disclosure. It offers three distinct modes (clean, flow, zen) to tailor the output structure, ensuring that complex information is highly digestible and easy to follow.

This guide provides comprehensive strategies for minimizing operational costs within the MindTickle learning platform. It details cost drivers across various components, including seat licenses, content storage, quiz assessments, call recording analysis, and API integrations. Users can learn best practices for content deduplication, implementing incremental sync, setting proper retention policies, and optimizing resource usage to reduce unnecessary spend and improve overall platform efficiency for sales organizations.

This guide provides a minimal working example demonstrating core MindTickle API functionality. It shows how to programmatically create structured training modules (including videos and quizzes), assign them to specific teams or users with deadlines, and track user progress and overall completion rates using analytics endpoints. It is ideal for integrating Learning Management System (LMS) functionality into internal corporate tools and automating onboarding processes.

This skill guides the identification and search for specialized crew members (such as production controllers, costume designers, music directors) in South Asian cinema. It is essential when a question focuses on technical roles rather than just the director or lead actors. By using specific search queries on reliable databases (like IMDb or Wikipedia) after identifying the film, users can efficiently locate detailed production credits.

A guide and tooling strategy to optimize programmatic interaction with the Notion API. It helps developers minimize costly rate-limit pressure, reduce engineering overhead, and maximize data throughput by identifying redundant calls, implementing efficient caching, and restructuring database queries. Essential for applications that rely heavily on Notion data synchronization and retrieval.

This guide provides comprehensive methods for building robust change detection and event handling within Notion workspaces. It compares the reliability, complexity, and latency of three approaches: polling using last_edited_time, utilizing native webhooks, and using third-party connectors. Learn how to implement reliable, incremental synchronization, change feeds, and event-driven workflows using the Notion API to ensure data consistency and near real-time updates.

A comprehensive guide and workflow for managing a personal knowledge vault using Obsidian. It details best practices for structuring notes in a flat file system, utilizing index notes, and leveraging wikilinking syntax ([[wikilinks]]) for robust connectivity. Includes command-line methods (grep/find) for efficient searching, note creation, and finding related backlinks across the entire vault, ensuring organized, interconnected learning.