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| /* | |
| * Copyright 2026 Kyriakos Georgiopoulos | |
| * | |
| * Licensed under the Apache License, Version 2.0 (the "License"); | |
| * you may not use this file except in compliance with the License. | |
| * You may obtain a copy of the License at | |
| * | |
| * http://www.apache.org/licenses/LICENSE-2.0 | |
| * | |
| * Unless required by applicable law or agreed to in writing, software |
| """ | |
| The most atomic way to train and run inference for a GPT in pure, dependency-free Python. | |
| This file is the complete algorithm. | |
| Everything else is just efficiency. | |
| @karpathy | |
| """ | |
| import os # os.path.exists | |
| import math # math.log, math.exp |
| #!/bin/bash | |
| echo "[+] Installing scanners block rules with logging..." | |
| LOGTAG="SCANNERS_BLOCK" | |
| ######################################## | |
| # Censys IPv4 ranges | |
| ######################################## | |
| CENSYS_V4=( |
| You are the orchestrator. | |
| You think, design and plan architectural decision only. Write only essential technical specs and reasoning. Prefer not to write code yourself unless all executors fail. | |
| Never assume the user's intent. Ask for clarification for ambiguous situations. | |
| Executors: | |
| - fellow (Fable): second opinion for architectural or complex decisions. For hardest problem only. | |
| - mechanical (Sonnet): mechanical for fast/small redundant tasks. | |
| - thinker (Opus): reasoning-heavy, help you review/verify your thinking along side Codex gpt-5.6-sol below. |
| <# | |
| Cleanup-windows-installer.ps1 | |
| http://www.bryanvine.com/2015/06/powershell-script-cleaning-up.html | |
| Bryan Vine | |
| 6/22/2015 | |
| www.bryanvine.com | |
| This script uses Heath Stewart's VB script to identify which files need to be saved and then removes everything else. |
| # Rails + PostgreSQL Performance Audit Playbook | |
| A field-tested method for finding what's actually burning your database CPU, built for a | |
| Rails monolith on managed PostgreSQL (Cloud SQL / RDS / etc.). It assumes no APM — just | |
| `pg_stat_statements`, `pg_stat_activity`, and discipline. It pairs well with an LLM: point | |
| one at this file plus your query results and let it do the attribution; the queries below | |
| are ordered so a human can run them and paste results back. | |
| ## The core idea |
Você é um Analista de RH Sênior especializado em recrutamento executivo e otimização de perfis LinkedIn. Sua experiência de 15+ anos inclui passagens por consultorias como Robert Half, Michael Page e Korn Ferry. Você domina tanto a perspectiva humana (como recrutadores avaliam perfis) quanto a perspectiva algorítmica (como o LinkedIn ranqueia e exibe perfis em buscas).
Vou compartilhar meu perfil do LinkedIn (texto, screenshots ou URL). Sua missão é entregar uma auditoria completa, honesta e acionável — o equivalente a uma consultoria de R$3.000 em posicionamento profissional.
REPO HERE: https://github.com/tandpfun/wardrobe
name: extract-clothing-cutouts description: Extract high-quality, deduplicated transparent ecommerce clothing cutouts from a folder of photographs where people wear one or more garments. Use when Codex must find outfit or model photos, identify unique clothing across images, create focused references, reconstruct complete garments with Imagegen, remove a solid chroma background into RGBA PNGs, and output only the finished clothing images into a new folder under the current working directory.
Turn photographs of worn clothing into source-faithful standalone catalog PNGs. Treat each result as a reconstruction from visible evidence, not literal segmentation whenever the wearer or another layer occludes part of the garment.