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最初、全ての思考をすぐに自動化しようと考えていたんです。ただ実際に進めてみると「情報が散らばっている」ことが先の問題だった。 メモ、研修資料、利用者さんの記録、日々の試行錯誤。それぞれは大事なのに、必要な時に探せない。 なので GitHub の単純な構造で実験してみた。やったのはこれだけ: ・フォルダごとに INDEX.md を置く ・その INDEX.md をスキルで自動更新 ・VSCode の MarkMap で図解化 すると何が変わったか。記録が 1 つに集約され、テキスト説明が「図」に変わることで、スタッフの確認作業が激減。新入者が初週で追いつきやすくなった。 実務で気づくのは、情報を「整理する」と「見せ方を工夫する」のどちらが大事か、という問題です。実は「見せ方」なんです。テキストを図に変えるだけで、理解にかかる時間が劇的に変わる。 小規模組織では一人が休むと回らなくなるじゃないですか。だからこそ「見るだけで分かる」状態を先に作る。その上で、必要な部分を自動化する。逆順でやると失敗しやすい。速さより、壊れにくさを優先する。 #AI活用 #業務改善 #チーム運営
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18/22 手動で入れ直した拡張機能の例。 Claude Code Gemini Code Assist ChatGPT / Codex Draw.io Marp Git Graph Markdown Mermaid Markmap Live Server Markdown PDF PDF Japanese Language Pack 他 Antigravity IDEはOpen VSXを見ているので、VSCodeで使っていた拡張がそのまま全部出るとは限らない点にも注意です。

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もひとつ、プロット作成で相関図とか作る用に! VSCodeデフォルトMarkdownプレビューで、 Markmap, Mermaid, Graphvizを描画します。 それぞれコードブロックで囲ってね♡ #vscode #拡張機能 #個人開発 marketplace.visualstudio.com…
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2026 顶级 AI diagram 我还是钟爱 Excalidraw 你说我把markmap 换为 Excalidraw 产品经理会不会撕了我
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MarkMapいいね>RT M3Eの機能ひとつひとつは思いついてるし、競合がひしめいてるが、ワンフォーオールこそが真価だと信じている。 obsidian強結合もそのための機能。
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自分の全思考を1つのGitHubリポで管理。 Obsidianグラフビューの代替手段を探してたんだけど、フォルダ構造のINDEX.mdを作ってskillで自動更新させつつ、VSCode拡張の「MarkMap」でマインドマップとして可視化させることで満足できる代替手段になった。
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Prompts to Turn ChatGPT Into Your Personal Tutor 1. Active Recall Quiz After studying [topic], quiz me with detailed questions and provide immediate feedback. Ensure the questions cover all key concepts and provide explanations for any incorrect answers. 2. Creative Problem-Solving Present a problem related to [topic] and guide me through brainstorming potential solutions step-by-step. 3. Mnemonic Devices Create mnemonic devices to help me remember key facts about [topic]. Ensure the mnemonics are easy to recall and relate directly to the information I need to memorize. 4. Socratic Dialogue Guide me through a Socratic dialogue on [concept]. Ask questions that will help me uncover the deeper layers of this idea and refine my understanding step-by-step. 5. Spaced Repetition Schedule Design a spaced repetition schedule for reviewing [topic] over the next month, including daily and weekly review tasks. 6. Interactive Case Study Walk me through a detailed case study related to [subject]. Present the scenario, ask me questions to test my understanding, and offer feedback based on my answers. 7. Historical Analysis Provide an in-depth analysis of how [historical event] impacted [field of study]. Draw parallels to modern-day applications and discuss how we can learn from this event. 8. Concept Simplifier Explain [complex topic] in simple terms that a beginner can easily understand, using analogies where possible. Or try: "Explain to a 12-year-old [concept]." 9. Daily Habits for Learning Suggest daily habits or routines to integrate learning about [topic] into my life effectively. 10. Create a MindMap from any topic Create a mind map of [topic]. List topics as central ideas, main branches, and sub-branches. Give me the same mind map in markdown format. Copy/past the result to Markmap.
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3. Visualize with Markmap - Visit Markmap - Paste your markdown content into the editor. Watch your ideas grow into a colorful mind map as if by magic. After finishing, download it as an interactive HTML for online use or as an SVG for pictures.
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Replying to @sovereignbrah
It saddens and surprises me how rare you see people collating vital information into concise and effective formats. There should be publicly shared pinboards for all sort of things, not just long-ass articles and transitory conversations. One could use markmap for this.
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Visualizing AI Thinking If you've been following my journey over the years you will know that I'm obsessed with markmap mind maps; especially turning network state into mind maps. I just finished building something that changes how AI agents communicate: A **Markmap MCP server** that gives Claude Code the ability to generate interactive mind maps from simple prompts. ## What is Markmap? markmap.js.org transforms Markdown into beautiful, interactive SVG mind maps. It takes hierarchical text and turns it into zoomable, pannable visualizations that make complex structures immediately understandable. ## What We Built Using Ralph Loop (autonomous AI development), we built a production-ready Model Context Protocol server in just 3 iterations: - 5 visualization tools - Server-side SVG rendering with JSDOM - Custom themes (dark, colorful, minimal) - 1,450 lines of TypeScript **The result?** Claude Code can now turn any prompt into an interactive mind map. ## The Network Engineering Game-Changer Here's where it gets really interesting. I also built a **pyATS MCP server** that lets Claude Code query network devices and get parsed JSON via Cisco's Genie parsers. **The old way:** 1. Fetch network state 2. Hand-craft Jinja2 templates 3. Debug template syntax 4. Manually create diagrams 5. Repeat for every device type **The new way:** ``` "Show me the BGP routing structure across all routers" ``` Claude fetches the state via pyATS MCP, gets parsed JSON automatically, generates a mind map via Markmap MCP, and returns an interactive visualization. **Zero Jinja2 templates. Zero manual diagrams. Just natural language.** ## Why This Matters We've escaped the tyranny of artisanal Jinja2 templating. Network engineers can now: - Ask questions in plain English - Get visual answers from live network state - Skip the template maintenance hell - Focus on decisions, not data wrangling The composability of MCP servers creates emergent capabilities: - **pyATS MCP** (network data) **Markmap MCP** (visualization) = Automated network documentation - **Git MCP** (code analysis) **Markmap MCP** = Repository architecture diagrams - **Any structured data** **Markmap MCP** = Instant visualization ## Try It ```bash npm install -g markmap-mcp ``` Add to `.clauderc`: ```json { "mcpServers": { "markmap": { "command": "markmap-mcp" } } } ``` Then just prompt: *"Create a mind map of our microservices architecture"* ## What Would You Visualize? I'd love to hear from the community: - Network engineers: What network data needs better visualization? - Developers: What code structures should be auto-diagrammed? - DevOps: What system states would you want as mind maps? The future isn't just AI that thinks—it's AI that **shows** its thinking in formats we instantly understand. GitHub repo for you to try: github.com/automateyournetwo…
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𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗮𝘀 𝗖𝗼𝗱𝗲 We see more tools enabling you to create software architecture and other diagrams as code. The main benefit of using this concept is that 𝗺𝗼𝘀𝘁 𝗼𝗳 𝘁𝗵𝗲 𝗱𝗶𝗮𝗴𝗿𝗮𝗺𝘀 𝗮𝘀 𝗰𝗼𝗱𝗲 𝘁𝗼𝗼𝗹𝘀 𝗰𝗮𝗻 𝗯𝗲 𝘀𝗰𝗿𝗶𝗽𝘁𝗲𝗱 𝗮𝗻𝗱 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗲𝗱 𝗶𝗻𝘁𝗼 𝗮 𝗯𝘂𝗶𝗹𝘁 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝘁𝗼 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗲 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗰 𝗱𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻. Another benefit driving the growing use of diagrams-as-code to create software architecture is that it enables text-based tooling, which most software developers already use. For architecture, as code, we can use different tools, such as: 𝟭. 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗶𝘇𝗿: Create multiple diagrams from a single (C4) model. structurizr.com/ 𝟮. 𝗣𝗹𝗮𝗻𝘁𝗨𝗠𝗟: It is an open-source tool that allows users to create diagrams from plain text. github.com/plantuml/plantuml 𝟯. 𝗗𝗶𝗮𝗴𝗿𝗮𝗺𝘀: Turn Python code into cloud system architecture diagrams. github.com/mingrammer/diagra… 𝟰. 𝗠𝗲𝗿𝗺𝗮𝗶𝗱: Generation of diagram and flowchart from a text similar to Markdown. github.com/mermaid-js/mermai… 𝟱. 𝗔𝗦𝗖𝗜𝗜 𝗲𝗱𝗶𝘁𝗼𝗿: Free editor for drawing ASCII diagrams. asciiflow.com/ 𝟲. 𝗠𝗮𝗿𝗸𝗺𝗮𝗽: Could you visualize your Markdown as mind maps? It supports the VS Code plugin. markmap.js.org/ 𝟳. 𝗚𝗼 𝗱𝗶𝗮𝗴𝗿𝗮𝗺𝘀: Create system diagrams with Go. github.com/blushft/go-diagra… 𝟴. 𝗦𝗲𝗾𝘂𝗲𝗻𝗰𝗲𝗗𝗶𝗮𝗴𝗿𝗮𝗺.𝗼𝗿𝗴: You can create your UML sequence diagrams online using text notation. sequencediagram.org/ Image: PlantUML
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このNotebookLM Mind Map Extractorを使って出てきたMarkdownを元に、さらにGeminiアプリのCanvasでMarkmapを使ったウェブアプリ化をしてみた。 SVG化などもできそうだけれど、あまり具合がよくなかったので、ウェブ化のほうが動きもあるので、いい感じに仕上がった。 sites.google.com/officefores…
NotebookLMのマインドマップ、 「画像だから直せない」のが唯一の欠点。 同じところで詰まった人は注目。 実は編集できるマインドマップに変える方法があります。 それが Xmind @XmindHQ の 「NotebookLM Mind Map Extractor」 思考の自由度、別次元です。 (リンクはリプに) ※PR
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『Markdown Preview Lily』 公開! VSCodeデフォルトMarkdownプレビューで、 Markmap, Mermaid, Graphvizを描画します。 それぞれコードブロックで囲ってね♡ #vscode #拡張機能 #個人開発 marketplace.visualstudio.com…
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mindmap.best Vibe Coding 太牛逼了,又花了一天时间给自己写了个小工具。 开发者们,我想在你们的业务中多多少少会涉及到思维导图相关的需求,但正如大家所见,思维导图的开源工具库并不健全。 唯一可以快速使用的还是 markmap,但我想对于有设计品位、有技术追求的你,应该已经忍受它的丑陋(也不能这么贬低,只能说一般)和不健全的功能很久了。 好在我的好朋友 @pubuzhixing 开源了 Drawnix,思维导图的生态得以健全。 github.com/plait-board/drawn… 我花了一天时间写了个 Demo ,还望大佬们不吝 Star,支持一下(也可以真金白银赞助,真的很感谢)。 github.com/sun0225SUN/mindma…
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Probe: *** Through the Looking Glass, The "Perez Hourglass" Resolves the Conjecture on the Numerical Origin of the Lichtenberg Sequence (1769), 05/11/2025 , @JCPEREZCODEX ; Investigate & report Markmap consistency and fidelity @venice_mind
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