Skill UI

This skill helps users maintain a structured and comprehensive record of their daily activities, progress, key decisions, and learning outcomes. It creates a dedicated file for each day using the ISO date format (yyyy-mm-dd), ensuring that all entries are organized chronologically. By adhering to concise, third-person reporting, it helps users build a valuable, reviewable knowledge base of their journey and accomplishments.

A comprehensive guide and set of production-tested scripts for migrating notes between popular platforms like Apple Notes, Obsidian, and Notion. It addresses key technical challenges such as proprietary HTML-to-Markdown conversion, attachment handling limitations, and utilizes JXA/Bash scripting specific to macOS environments for seamless knowledge base integration.

This comprehensive toolkit automates core workflows within Apple Notes using JXA and Bash scripting. It allows users to batch-import content from Markdown files, generate structured notes using customizable templates (e.g., meeting minutes, daily logs), and automatically organize notes into designated folder hierarchies based on naming conventions. Ideal for knowledge workers managing large volumes of notes and content from diverse sources.

This meta-skill acts as a comprehensive Learning Science Coach, teaching users *how* to learn effectively rather than just *what* to study. It draws upon advanced cognitive science principles—including Spaced Repetition, Active Recall, Metacognition, and Bloom's Taxonomy—to diagnose learning gaps, optimize study methods, and build structured, long-term memory retention systems. Ideal for students, professionals, and lifelong learners seeking systematic methods to accelerate knowledge acquisition.

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 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 workflow manages the collaboration and lifecycle of diagrams created in Lucidchart. Users can invite specific collaborators with tailored, role-based permissions (e.g., editor, viewer, commenter). It allows for setting granular access controls, such as restricting downloads, limiting link sharing, or setting document expiry dates. Furthermore, it enables tracking revision history and managing comment threads, ensuring secure and organized team knowledge sharing.

This skill provides a seamless workflow for publishing content stored in Obsidian notes to X (Twitter). It intelligently handles both short-form posts (text, images, videos) and rich, long-form articles (X Articles) derived from Markdown. By utilizing a real Chrome browser, it ensures compatibility and bypasses anti-bot detection mechanisms, making it ideal for content creators and knowledge workers who need to automate their social media sharing process from their local knowledge base.

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.

This skill extracts full transcripts and rich metadata from a single YouTube video URL. It uses yt-dlp to download subtitles, cleans VTT timing markers, and pulls video details (title, channel, date). The output is a structured, queryable Markdown file, ideal for populating a personal knowledge vault and enabling downstream knowledge graph extraction or content repurposing.

This is a mandatory, one-time setup skill designed to interview users interactively to build a personalized knowledge base for advanced email triage. Using a structured, discipline-driven interview process, the skill collects data on email patterns, business context, and priorities, generating 7 critical structured files (e.g., email-taxonomy.md, rate-card.md). This knowledge base powers the companion 'inbox-triage' skill. Run this before initial use or whenever core business processes change significantly.

A comprehensive skill designed to process and organize incoming emails. It classifies messages using a predefined user taxonomy, researches new senders, generates decision recommendations, drafts replies (without sending), and updates a knowledge base with learnings. Ideal for running on a recurring schedule (1-3 times daily) or on demand to maintain an organized inbox.