Skill UI

This comprehensive tool provides full calendar and scheduling management capabilities within the Feishu ecosystem. Users can create, retrieve, modify, and search for events, manage attendees (including users and meeting rooms), and check the free/busy status of multiple team members. It is essential for organizing complex meetings, coordinating team schedules, and ensuring smooth collaborative workflows.

Generates highly structured and visually rich documents within the Feishu (Lark) cloud suite. This tool accepts Lark-flavored Markdown, supporting advanced formatting like callouts, grids, enhanced tables, and Mermaid diagrams. It is ideal for creating professional knowledge base articles, detailed project plans, meeting minutes, and comprehensive reports requiring strong visual presentation and clear hierarchical structure.

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.

This skill provides comprehensive task and task list management within Feishu. It enables users to create, query, update, and complete individual tasks, and manage entire task lists for project tracking. Ideal for collaborative workflows, setting deadlines, assigning responsibilities, and organizing complex work streams in a team environment.

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.

Utilizes Grammarly's advanced APIs to conduct comprehensive content auditing. This skill detects the likelihood of AI-generated content and checks the provided text against vast databases for plagiarism. It provides a combined score assessing overall writing quality, clarity, and academic integrity, making it essential for professional, academic, and published content review.

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 CLI tool integrates with the Lark/Feishu platform to allow users to query their personal attendance and clock-in/out records. By utilizing the dedicated API endpoint, users can easily retrieve a comprehensive history of their work attendance status, helping them manage and verify their work time records directly from the command line. It is essential for HR and personal time tracking needs.

This tool provides comprehensive management capabilities for Objectives and Key Results (OKR) within Lark. Users can view and edit entire OKR cycles, manage objectives, define key results, track progress records, adjust weights, and establish alignment relationships. It is essential for teams needing structured goal setting, performance tracking, and corporate alignment management.

This skill transforms an LLM into a disciplined wiki maintainer for Obsidian. It moves beyond simple RAG by incrementally ingesting sources (papers, notes, articles) to build a persistent, interlinked "Second Brain." The LLM manages cross-references, updates core concepts, and maintains an evolving knowledge graph, ensuring that knowledge compounds over time rather than being re-derived on every query. Ideal for deep research, personal knowledge management (PKM), and building comprehensive internal wikis.

This advanced skill generates high-quality, natural speech from text entirely offline using the VoxCPM2 model. Supporting 30 languages, it offers three modes: standard text-to-speech, descriptive voice design, and advanced voice cloning from reference audio. All processing runs on the local device (optimized for Apple Silicon), ensuring zero API calls, zero cost, and maximum privacy. Ideal for creating professional voiceovers, podcasts, and video narration without internet dependency.