name: tufte-viz description: | Ideate and critique data visualizations using Edward Tufte's principles from "The Visual Display of Quantitative Information." Use this skill when: (1) Designing new data visualizations or charts (2) Critiquing or improving existing visualizations (3) Reviewing dashboards or reports for graphical integrity (4) Deciding between visualization approaches (5) Reducing chartjunk or improving data-ink ratio (6) Planning small multiples or high-density displays
Discover gists
Important
Working on the latest supported Windows versions. Run Windows Update before following this guide.
1. Open Powershell > RUN AS ADMIN
2. Paste in irm https://gist.github.com/ave9858/c3451d9f452389ac7607c99d45edecc6/raw/UninstallEdge.ps1 | iex and press enter
3. Microsoft Edge will be completely uninstalled.
| ##### Server Management ##### | |
| # Start ollama server using commands - start or serve | |
| ollama start | |
| ollama serve | |
| # Check if server is running | |
| ollama ps | |
| ollama ps --verbose # Check system resources |
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
Your Mac has a GPU. Your Mac has RAM. Why are you paying someone else to think?
This guide gets you a fully local agentic coding setup: Claude Code talking to Qwen 3.5-35B-A3B via llama.cpp, all running on your Apple Silicon Mac. No API keys. No cloud. No surprise invoices. Just you, your M-series chip, and 35 billion parameters doing your bidding on localhost.
Based on this article.
Sidenote: you will still need one, but by the end of the guide you should only need to deal with this process once per year, assuming nothing changes.
Note
This guide only covers VPN setup, creating DMM account & installing Game Player is considered out of scope (this is long enough as is).
Use Nyatsu's DMM guide for guidance on getting set up, or check #jp-questions pins in maincord.
Warning
This guide was rewritten in August 2025 to no longer use TunnlTo. If you need the old version, it can still be accessed here.