biojerm

// =============================================================================
// MedBillFiler — Google Apps Script
// =============================================================================
// HOW TO USE:
//   1. Paste this file into script.google.com (new standalone project)
//   2. Fill in SHEET_ID below (from your Google Sheet URL)
//   3. Confirm SHEET_NAME matches your tab name
//   4. Run setupTrigger() once from the editor to start automated processing
//   5. Forward scanned bills to me+healthbill@gmail.com with subject:
//        Provider/Comment, YYYYMMDD, Amount

hudsonbrendon

🧠 46 Marketing Skills pro seu Claude Code

Como prometido no carrossel: o pacote de skills que transforma seu Claude Code (ou Cursor, Codex, Windsurf) num time de marketing completo.

Repositório oficial (grátis, open source, MIT) — por Corey Haines: 👉 https://github.com/coreyhaines31/marketingskills

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⚡ Instalação (1 comando)

hudsonbrendon

🔥 Os 6 plugins do Claude Code que substituem um time inteiro de dev

Como prometido no reel, aqui está a lista completa com todos os links. 👇

Esses 6 plugins, juntos, montam um "time" de engenharia inteiro dentro do Claude Code: planejamento, front-end, code review, segurança, memória e um pacote com 23 skills.

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1. Superpowers — planejamento automático

Impede o Claude de sair codando direto e força ele a planejar e testar antes. Vira uma metodologia de desenvolvimento de verdade dentro do Claude Code.

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.

dragonfire1119

version: '3'  # Specify the Docker Compose version

services:
  adguardhome:  # Define the service named 'adguardhome'
    image: adguard/adguardhome  # Use the 'adguard/adguardhome' Docker image
    container_name: adguardhome  # Set the container name to 'adguardhome'
    restart: unless-stopped  # Restart the container automatically unless stopped manually
    ports:  # Map container ports to host ports
      # Expose port 53 on TCP and UDP for DNS queries
      - "53:53/tcp"

atondwal

almahmudbd

Free Ai Api keys for agentic coding.

Usage Tips:

• Do not subscribe to all services at once, as most have limited validity periods for their credits. We recommend testing them one by one, moving to the next after your current credits are exhausted.
• Register, verify your account, and claim your credits. then Follow documentation on each site to configure your coding tools.
• Keep your API keys secure and do not share them publicly. (save or star this gist for future update)

Top sites in this genre -

1. AgentRouter - Free $150-200 credit.

mountbatt

// Variables used by Scriptable.
// These must be at the very top of the file. Do not edit.
// icon-color: light-gray; icon-glyph: car;
// version 2025-06-29
// latest changes: 
// not showing invalid charging kW when not available - thanks to dehsgr! <3 

// add your my-renault account data:
let myRenaultUser = "your_email" // email
let myRenaultPass = "your_password" // password