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
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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.
| <?php | |
| /** | |
| * Template Name: My Account | |
| */ | |
| ?> | |
| <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/4.0.0/css/bootstrap.min.css" integrity="sha384-Gn5384xqQ1aoWXA+058RXPxPg6fy4IWvTNh0E263XmFcJlSAwiGgFAW/dAiS6JXm" crossorigin="anonymous"> | |
| <script src="https://code.jquery.com/jquery-3.2.1.slim.min.js" integrity="sha384-KJ3o2DKtIkvYIK3UENzmM7KCkRr/rE9/Qpg6aAZGJwFDMVNA/GpGFF93hXpG5KkN" crossorigin="anonymous"></script> | |
| <script src="https://cdnjs.cloudflare.com/ajax/libs/popper.js/1.12.9/umd/popper.min.js" integrity="sha384-ApNbgh9B+Y1QKtv3Rn7W3mgPxhU9K/ScQsAP7hUibX39j7fakFPskvXusvfa0b4Q" crossorigin="anonymous"></script> | |
| <script src="https://maxcdn.bootstrapcdn.com/bootstrap/4.0.0/js/bootstrap.min.js" integrity="sha384-JZR6Spejh4U02d8jOt6vLEHfe/JQGiRRSQQxSfFWpi1MquVdAyjUar5+76PVCmYl" crossorigin="anonymous"></script> | |
| <?php |
| <main id="Main"> | |
| <div class="page-wrapper"> | |
| <div class="container"> | |
| <div class="row"> | |
| <div id="menuBarleft" class="col-lg-3 col-sm-12"> | |
| <div id="navbarNav" class="nav nav-tabs"> | |
| <div id="v-pills-tab" class="nav flex-column nav-pills menu-left" role="tablist" aria-orientation="vertical"> | |
| <?php $group_values = rwmb_meta( 'faq_tab' ); | |
| $count = 0; | |
| if ( ! empty( $group_values ) ) { |
| if ( ! get_option( 'rwmb_bookings' ) ) { | |
| add_option( 'rwmb_bookings', array() ); | |
| } | |
| add_action( 'rwmb_booking-fields_after_save_post', 'update_bookings_date' ); | |
| function update_bookings_date( $post_id ) { | |
| $bookings = get_post_meta( $post_id, 'group_booking', true ); |
| Hi All! | |
| I've recently launched a tool that wraps many of the commands here with a user interface. This desktop application is currently available for macOS. There's a roadmap outlining planned features for the near future. | |
| Feel free to request any features you'd like to see, and I'll prioritize them accordingly. | |
| One of the most important aspects of this application is that every command executed behind the scenes is displayed in a special log section. This allows you to see exactly what’s happening and learn from it. | |
| Here's the link to the repository: https://github.com/Pulimet/ADBugger | |
| App Description: | |
| ADBugger is a desktop tool designed for debugging and QA of Android devices and emulators. It simplifies testing, debugging, and performance analysis by offering device management, automated testing, log analysis, and remote control capabilities. This ensures smooth app performance across various setups. |
| name | filebrowser-manager |
|---|---|
| description | Manage files and folders on a Filebrowser server via HTTP API. Use when asked to list, move, delete, create, or edit files/folders on a Filebrowser instance. Works for any AI model. |
This skill provides a standardized way for any AI model to manage files and folders on a Filebrowser server by making direct HTTP calls. Filebrowser uses a "hidden" API with JWT authentication.
- Official Repository: filebrowser/filebrowser
