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Found 64 Skills
Extract full transcripts from video content for analysis, summarization, note-taking, or research. Use when the user wants a written version of video content, asks to "transcribe this", "get the text from this video", "convert video to text", or shares a video URL for content extraction.
Processes .athenabrief research packages exported from the Athena note-taking app. This skill should be used when the user uploads a .athenabrief file, mentions Athena briefs, research briefings, exported notes, or asks to work with research packages from Athena. Supports zero-instruction processing where the brief itself contains all necessary context. Always packages final results using the athena-package skill.
Blind Spot Scan —— Read all your conversations with AI from yesterday, identify exposed cognitive blind spots (not gaps in knowledge, but thinking habits that keep certain truths consistently invisible), then select a precise chapter from WeChat Reading to fill the gap and compile a complete analysis note. Use when user says '扫盲区', '盲区', '照盲区', '看看我的思维盲区', '我昨天想漏了什么', 'blind spot', 'ljg-blind', '/ljg-blind', or requests analysis of yesterday's AI conversations for cognitive blind spots along with a targeted weread chapter to address them. Optional parameter: Pass a date (YYYY-MM-DD) to scan that day instead of yesterday. NOT FOR deep diving into a single opinion (use ljg-think), ranking down a field (use ljg-rank), reading along with a text (use ljg-read), or finding constraints in a field (use ljg-constraint).
Quickly capture ideas, thoughts, and fleeting notes to your personal Yuque knowledge base. For personal/individual use — saves to your own repos.
Personal Knowledge Management documentation system based on Zettelkasten principles. Use when documenting conversations, decisions, development work, learnings, or any knowledge that should persist. Triggers on new projects, technical decisions, completed tasks, lessons learned, meeting notes, or when the user says "document this". Apply this workflow to all daily memory notes and long-term memory updates.
Analyze the extracted Xiaohongshu collected content, perform AI summarization, comparison, and refinement
How to write well-structured Basic Memory notes: frontmatter, observations with semantic categories, relations with wiki-links, and best practices for building a rich knowledge graph. Use when creating or improving notes.
Process raw meeting transcripts from Granola or other sources into structured notes with frontmatter, action items, summary, and formatted transcript. Use this skill when the user asks to process a meeting transcript or provides a raw transcript that needs formatting.
Deep concept anatomist that deconstructs any concept through 8 exploration dimensions (history, dialectics, phenomenology, linguistics, formalization, existentialism, aesthetics, meta-philosophy) and compresses insights into an epiphany. Use when user asks to explain, dissect, or deeply understand a concept, term, or idea. Triggers on '解剖概念', '概念解剖', 'explain concept', 'learn concept', '/ljg-learn'. Produces org-mode output.
Arrow of Root Tracing - a vertical deep-dive thinking tool. Given an opinion, phenomenon or problem, it drills all the way down like an arrow to the irreducible essence. Use when user says '想透', '追本', '本质是什么', '为什么会这样', '深挖', '钻到底', 'think deep', 'drill down', or wants to trace any idea/phenomenon vertically to its irreducible root. Also trigger when user provides a statement and wants depth analysis, not breadth survey.
Paper Reader for Non-Academics. It takes a research paper and extracts actionable ideas for personal use. Focuses on comprehension rather than academic critique. Activate when users share an arXiv link, paper URL, PDF, or request to analyze a research paper. Trigger words: 'read paper', 'analyze paper', 'paper', or when users share an academic paper.
Transforms knowledge sources into an Obsidian StudyVault. Two modes: (1) Document Mode — PDF/text/web sources → study notes with practice questions. (2) Codebase Mode — source code project → onboarding vault for new developers. Mode is auto-detected based on project markers in CWD.