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🎯 Обход ограничения в 3,5 секунды для приватных навыков в Яндекс.Диалогах

Примечание: Эта инструкция подходит только для приватных навыков. Для публичных — только в теории, если заставить пользователей самим создавать сценарии, но это неэффективно и сильно сужает аудиторию.

⚙️ Как это работает?

Чтобы обойти лимит для приватных плагинов в 3,5 секунды на ответ в Яндекс.Диалогах, мы используем сценарий в приложении "Умный дом" и API Яндекса. Схема проста:

Программа получает запрос, который требует больше 3,5 секунд.

LLM Wiki

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.

The core idea

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.

Kimodo Local Installation Guide (with Custom Text Encoder)

This guide walks through setting up Kimodo from scratch, downloading a custom text encoder (KIMODO-Meta3_llm2vec_NF4), and forcing the application to use your local offline model instead of making API calls to Hugging Face.

1. Environment Setup

First, create a fresh Python virtual environment to keep dependencies clean, and activate it.

python -m venv venv
source venv/bin/activate

Install the dnsmasq and hostapd packages:

sudo pacman -S dnsmasq hostapd

Open the NetworkManager configuration file, /etc/NetworkManager/conf.d/dns.conf, and add the following lines to the [main] section:

[main]

Frontend Development

Attention: the list was moved to

https://github.com/dypsilon/frontend-dev-bookmarks

This page is not maintained anymore, please update your bookmarks.

Running NIKKE on Linux

This guide covers five methods for running NIKKE on Linux using Wine/Proton:

	Path 1: DW Proton (Recommended)	Path 2: Miniloader	Path 3: Lutris	Path 4: DW Launcher	Path 5: Windows + Steam
Needs Windows	No	No	No	No	Yes (initial install + every update)
Update process	Updates through the launcher	Updates through the launcher	Updates through the launcher	Updates through the launcher	Re-download from Windows each time
Notes	N/A	Some updates might not work, so you will need to move `update_files`	N/A	N/A	Avoid this path unless necessary, you don't need windows anymore, but you can use Steam just fine. Simply use Steam and DWProton, it just works.

	---
	title: "storytelling_sazonalidade_respiratoria"
	author: "Fernando Almeida Barbalho"
	date: "2026-04-24"
	output: html_document
	---

	```{r setup, include=FALSE}
	knitr::opts_chunk$set(echo = FALSE, warning = FALSE, message = FALSE)
	library(tidyverse)

	# Miyavingo 🐾

	Miyavingo, AI destekli modern bir dil öğrenme ve çalışma platformudur.

	Kısa dersler, günlük hedefler, seri takibi, elmas ödülleri, mini görevler ve Miyav-AI desteğiyle öğrenmeyi daha eğlenceli ve düzenli hale getirir.

	🌐 Canlı site: https://miyavingo.web.app

	## Özellikler

	# ============================================
	# Ghostty Terminal - Complete Configuration
	# ============================================
	# File: ~/.config/ghostty/config
	# Reload: Cmd+Shift+, (macOS)
	# View options: ghostty +show-config --default --docs

	# --- Typography ---
	font-family = "Maple Mono NF CN"
	font-size = 14

	"$schema" = 'https://starship.rs/config-schema.json'

	format = """
	[](red)\
	$os\
	$username\
	[](bg:peach fg:red)\
	$directory\
	[](bg:yellow fg:peach)\
	$git_branch\