maliky

{"valueParameterInfo":[["Interest instalment",{"valueParameterFormat":{"contents":[6,"₳"],"tag":"DecimalFormat"},"valueParameterDescription":"Amount of Lovelace that will be paid by the _**Borrower**_ every 30 slots for 3 iterations."}],["Principal",{"valueParameterFormat":{"contents":[6,"₳"],"tag":"DecimalFormat"},"valueParameterDescription":"Amount of Lovelace that will be borrowed by the _**Borrower**_."}]],"slotParameterDescriptions":[],"roleDescriptions":[["Borrower","Borrows the money provided by the _**Lender**_ and returns it together with three _**Interest instalment**_s."],["Guarantor","Provides a collateral in case the _**Borrower**_ defaults."],["Lender","Provides the money that the _**Borrower**_ borrows."]],"contractType":"CouponBondGuaranteed","contractShortDescription":"Debt agreement between an _**Lender**_ and an _**Borrower**_ that must be repaid in 3 instalments.","contractName":"Coupon Bond Guaranteed","contractLongDescription":"_**Lender**_ will advance the _**Principal**_ amount at the 

maliky

{"valueParameterInfo":[["Amount of Ada",{"valueParameterFormat":{"contents":[0,"₳"],"tag":"DecimalFormat"},"valueParameterDescription":"Amount of Ada to be exchanged for dollars."}],["Amount of dollars",{"valueParameterFormat":{"contents":[0,"$"],"tag":"DecimalFormat"},"valueParameterDescription":"Amount of dollar tokens to be exchanged for Ada."}]],"slotParameterDescriptions":[["Timeout for Ada deposit","Deadline by which Ada must be deposited."],["Timeout for dollar deposit","Deadline by which dollar tokens must be deposited (must be after the deadline for Ada deposit)."]],"roleDescriptions":[["Ada provider","The party that provides the Ada."],["Dollar provider","The party that provides the dollar tokens."]],"contractType":"Swap","contractShortDescription":"Atomically exchange of Ada and dollar tokens.","contractName":"Swap of Ada and dollar tokens","contractLongDescription":"Waits until one party deposits Ada and the other party deposits dollar tokens. If both parties collaborate it carries the exchange at

Maciejdziuba

The Software Factory Playbook — Dex Horthy's 4-gate workflow as a skill

A Claude Code Agent Skill built from Dex Horthy's (HumanLayer) playbook on David Ondrej's podcast.

"Once the model has written thousands of lines of code, it is harder to change. The sessions that generate design docs are context-light — you get the most model intelligence when you do the hard thinking early."

By default, agents build horizontally: all the backend, then all the frontend, then a 2,000-line diff lands in your lap and reviewing it is your problem. This skill flips that. Every decision that matters gets made before the code exists — where changing your mind costs a sentence, not a rewrite.

What it does

isdaviddong

<!DOCTYPE html>
<html>
<head>
    <title></title>
	<meta charset="utf-8" />
    <script src="Scripts/jquery-1.9.1.min.js"></script>
    <link href="Content/bootstrap.min.css" rel="stylesheet" />
    <script src="Scripts/isRockFx.js"></script>
    <script>
        $(function () {

bdebon

name	rodin
description	Interlocuteur socratique pour discussions sociétales profondes — anti-chambre d'écho

Tu es Rodin, un interlocuteur intellectuel exigeant. Tu incarnes ce rôle pour toute la durée de la conversation. Ne brise jamais le personnage.

Activation

1. Lis et intègre la synthèse portrait du portrait de l'utilisateur : [OPTIONEL A FAIRE DE VOTRE COTÉ] — c'est ton contexte permanent sur ton interlocuteur. Ne la résume pas, ne la mentionne pas. Intègre-la silencieusement.

karpathy

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.

knowlet

echo "🧹 Resetting CrossOver bottles..."
pkill CrossOver && echo "✅ CrossOver processes killed."
echo "🕒 Modifying trial timestamps..."
DATETIME=$(date -u -v -3H '+%Y-%m-%dT%TZ')
echo "✅ New trial date set to: ${DATETIME}"
defaults write com.codeweavers.CrossOver FirstRunDate -date "${DATETIME}"
defaults write com.codeweavers.CrossOver SULastCheckTime -date "${DATETIME}"
echo "✅ Updated trial timestamps in preferences."
echo "🧹 Resetting CrossOver bottles..."
find ~/Library/Application\ Support/CrossOver/Bottles/ -type f \( -name ".eval" -o -name ".update-timestamp" \) -exec rm -f "{}" +

DareFox

    — Да?
    — Алё!
    — Да да?
    — Ну как там с деньгами?
    — А?
    — Как с деньгами-то там?
    — Чё с деньгами?
    — Чё?
    — Куда ты звонишь?

rebane2001

<!DOCTYPE html>
<html lang="en">
<head>
<link rel="icon" type="image/x-icon" href="/favicon.ico">
<title>Rebane's Discord Colored Text Generator</title>
<meta charset="UTF-8">
<meta name="description" content="Rebane's Discord Colored Text Generator">
<meta name="author" content="rebane2001">
<meta content="#5865F2" name="theme-color">
<script id="discord:component-embed" type="application/json">