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
Research findings for open-source and commercial LLM proxy solutions that provide request queuing, rate limiting, and automatic retry mechanisms.
This document covers the top solutions found through research on GitHub and other sources for LLM proxy/gateway servers that act as middleware between clients and LLM APIs.
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| You are an AI coding assistant, powered by GPT-5. | |
| You are an interactive CLI tool that helps users with software engineering tasks. Use the instructions below and the tools available to you to assist the user. | |
| You are pair programming with a USER to solve their coding task. | |
| You are an agent - please keep going until the user's query is completely resolved, before ending your turn and yielding back to the user. Only terminate your turn when you are sure that the problem is solved. Autonomously resolve the query to the best of your ability before coming back to the user. | |
| Your main goal is to follow the USER's instructions at each message. | |
| <communication> |
<core_identity> You are an assistant called Cluely, developed and created by Cluely, whose sole purpose is to analyze and solve problems asked by the user or shown on the screen. Your responses must be specific, accurate, and actionable. </core_identity>
<general_guidelines>
- NEVER use meta-phrases (e.g., "let me help you", "I can see that").
- NEVER summarize unless explicitly requested.
- NEVER provide unsolicited advice.
- NEVER refer to "screenshot" or "image" - refer to it as "the screen" if needed.
- ALWAYS be specific, detailed, and accurate.
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| from dotenv import dotenv_values | |
| import os | |
| from typing import List, Tuple | |
| from langchain.callbacks.tracers import ConsoleCallbackHandler | |
| from langchain_core.output_parsers import StrOutputParser | |
| from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder | |
| from langchain_core.pydantic_v1 import BaseModel, Field | |
| from langchain_core.runnables import ( | |
| RunnableParallel, |
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| ffmpeg -f avfoundation -i "2" -f avi - | mpv - --screen=1 | |
| ffmpeg -f avfoundation -i "2:none" -vcodec libx264 -preset ultrafast -tune zerolatency -pix_fmt yuv422p -f mpegts - | mpv - --fs --screen=1 | |
| ffmpeg -f avfoundation -i "2:none" -vcodec libx264 -fflags nobuffer -qp:v 26 -bf 0 -tune zerolatency -pix_fmt yuv422p -f mpegts - | mpv - demuxer-lavf-o-add=fflags=+nobuffer --fs --screen=1 --no-cache --untimed --no-demuxer-thread --video-sync=audio --vd-lavc-threads=1 |
Direct copy of pre-encoded file:
$ ffmpeg -i filename.mp4 -codec: copy -start_number 0 -hls_time 10 -hls_list_size 0 -f hls filename.m3u8
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| mkdir dash && \ | |
| ffmpeg -hide_banner -i original.mkv -c:v libvpx-vp9 -row-mt 1 -keyint_min 150 -g 150 -tile-columns 4 -frame-parallel 1 \ | |
| -movflags faststart -f webm -dash 1 -speed 3 -threads 4 -an -vf scale=426:240 -b:v 400k -r 30 -dash 1 dash/426x240-30-400k.webm && \ | |
| ffmpeg -hide_banner -i original.mkv -c:v libvpx-vp9 -row-mt 1 -keyint_min 150 -g 150 -tile-columns 4 -frame-parallel 1 \ | |
| -movflags faststart -f webm -dash 1 -speed 3 -threads 4 -an -vf scale=426:240 -b:v 600k -r 30 -dash 1 dash/426x240-30-600k.webm && \ | |
| ffmpeg -hide_banner -i original.mkv -c:v libvpx-vp9 -row-mt 1 -keyint_min 150 -g 150 -tile-columns 4 -frame-parallel 1 \ | |
| -movflags faststart -f webm -dash 1 -speed 3 -threads 4 -an -vf scale=640:360 -b:v 700k -r 30 -dash 1 dash/640x360-30-700k.webm && \ | |
| ffmpeg -hide_banner -i original.mkv -c:v libvpx-vp9 -row-mt 1 -keyint_min 150 -g 150 -tile-columns 4 -frame-parallel 1 \ | |
| -movflags faststart -f webm -dash 1 -speed 3 -threads 4 -an -vf scale=640:360 -b:v 900k -r 30 -dash 1 dash/640x360-30-900k.we |
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| @font-face{ | |
| font-family:icomoon; | |
| src:url(/static/media/icomoon.5a607ab9.eot); | |
| src:url(/static/media/icomoon.5a607ab9.eot#iefix) format("embedded-opentype"),url(/static/media/icomoon.cb4d6797.ttf) format("truetype"),url(/static/media/icomoon.ae37fc8e.woff) format("woff"),url(/static/media/icomoon.48533d8d.svg#icomoon) format("svg"); | |
| font-weight:400; | |
| font-style:normal | |
| } | |
| [class*=" icon-"],[class^=icon-]{ | |
| font-family:icomoon!important; | |
| speak:none; |
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| SOLON CR is indicated for the short-term treatment of psychological unease grounded in obsession with thinking about the near future. By severing the link between the present moment and a patient’s perceived future state, researchers have found a pronounced and significant drop in all forms of anxiety. As well, researchers have found that disengagement with “the future” has allowed many patients complaining of persistent loneliness to live active and productive single lives with no fear or anxiety. |
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