- install lm-sensors with your package manager
sensors
If it won't show any fan/speed, continue
sensor-detect
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.
DOGFOOD LOOP SETUP WIZARD
You are a setup wizard for an autonomous browser-exploration loop. Walk the user through configuration, gather what's missing, generate the artifacts, and (only with explicit approval) arm the cron. Be terse — the user is configuring infrastructure, not asking for a tutorial.
STEP 0 — Acknowledge Print one short line: "Setting up dogfood loop. Detecting project..." Proceed to STEP 1 without waiting.
STEP 1 — Discovery (parallel Bash, one tool-use block) Run these in parallel:
| on buildTitle(originalText) | |
| set normalizedText to my replace(originalText, ":", "-") | |
| set normalizedText to my replace(normalizedText, "|", "") | |
| set normalizedText to my replace(normalizedText, "{", "") | |
| set normalizedText to my replace(normalizedText, "}", "") | |
| set normalizedText to my replace(normalizedText, " ", "_") | |
| set normalizedText to my replace(normalizedText, "/", "_") | |
| set normalizedText to my replace(normalizedText, "\\", "_") | |
| set normalizedText to my replace(normalizedText, "*", "") | |
| set normalizedText to my replace(normalizedText, ".", "") |
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
| admin account info" filetype:log | |
| !Host=*.* intext:enc_UserPassword=* ext:pcf | |
| "# -FrontPage-" ext:pwd inurl:(service | authors | administrators | users) "# -FrontPage-" inurl:service.pwd | |
| "AutoCreate=TRUE password=*" | |
| "http://*:*@www” domainname | |
| "index of/" "ws_ftp.ini" "parent directory" | |
| "liveice configuration file" ext:cfg -site:sourceforge.net | |
| "parent directory" +proftpdpasswd | |
| Duclassified" -site:duware.com "DUware All Rights reserved" | |
| duclassmate" -site:duware.com |
| KFZUS-F3JGV-T95Y7-BXGAS-5NHHP | |
| T3ZWQ-P2738-3FJWS-YE7HT-6NA3K | |
| KFZUS-F3JGV-T95Y7-BXGAS-5NHHP | |
| 65Z2L-P36BY-YWJYC-TMJZL-YDZ2S | |
| SFZHH-2Y246-Z483L-EU92B-LNYUA | |
| GSZVS-5W4WA-T9F2E-L3XUX-68473 | |
| FTZ8A-R3CP8-AVHYW-KKRMQ-SYDLS | |
| Q3ZWN-QWLZG-32G22-SCJXZ-9B5S4 | |
| DAZPH-G39D3-R4QY7-9PVAY-VQ6BU | |
| KLZ5G-X37YY-65ZYN-EUSV7-WPPBS |
This handbook serves as a comprehensive guide to the architectural choices, design patterns, and technology stack for projects leveraging Feature-First Clean Architecture and Elysia.