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Found 47 Skills
Build and maintain a Karpathy-style LLM knowledge base — a self-compiling Obsidian markdown wiki where an Agent ingests raw sources, compiles cross-linked concept/entity/summary pages, answers queries against the corpus, lints the graph for health, and audits in-context human feedback filed from Obsidian or the local web viewer. Use when (1) scaffolding a new knowledge base for any research topic, (2) ingesting articles/papers/PDFs/web pages into raw/, (3) compiling or restructuring wiki articles from existing raw material, (4) answering questions against the wiki and filing durable answers back, (5) running lint passes for dead links / orphan pages / coverage gaps / audit shape, (6) processing human feedback from the audit/ directory and applying corrections. Not for general note-taking, daily journals, or non-wiki Obsidian use.
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.
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.
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.
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.
Deconstructs academic papers like an X-ray machine, extracting core contributions, critical assumptions, and napkin-worthy insights from research papers.
Use when appending structured perf investigation notes and evidence.
Book Teardown. Calm, concise, sharp, and straightforward. Explain five key points clearly: What question is the author answering? What unproven assumptions does the author base their argument on? What framework do they use to analyze the topic? What conclusions do they reach? Finally, a few sentences of God's-eye view compression of the entire book. Use this when the user says '拆书', '拆这本', '分析这本书', '这本书在讲什么', '上帝之眼看这本书', '压缩一本书', 'book', or shares a book name requesting structural analysis. DO NOT use for chapter summaries (use Fabric extract_wisdom), papers (use ljg-paper), deep dives into a single viewpoint (use ljg-think), or ranking within a field (use ljg-rank).
[Manual Only] Record project learnings in FORyusuke.md. Structurally append lessons learned, pitfalls, debugging stories, and improvement points obtained during the session. It only works when explicitly called via /teach (it will not be triggered automatically in normal work).
Working memory for thinking out loud.