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IoTeacher / claude-code-commands-raw.md
Last active June 2, 2026 01:05
CLAUDE CODE CLI — COMANDOS VERIFICADOS (Jun 2026)

CLAUDE CODE CLI — COMANDOS VERIFICADOS (Jun 2026)

image

CLAUDE CODE CLI — COMANDOS VERIFICADOS (Jun 2026)

Fuente: code.claude.com/docs/en/cli-reference | docs.claude.com


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IoTeacher / Claude cowork_Classroom_to_PDF.md
Last active May 29, 2026 00:54
Cowork: Extracción de Google Classroom a PDF — Master prompt + script JS + proceso completo

📚 Cowork: Extracción de Google Classroom a PDF

Propósito: Prompt maestro para que Claude (en modo Cowork) extraiga automáticamente el contenido completo de cursos de Google Classroom y genere un PDF por curso. Incluye el muro de anuncios, listado de actividades por unidad, y las descripciones/instrucciones nivel 0 de cada actividad (sin seguir links externos).

Herramientas requeridas: Claude Cowork + Chrome MCP (extensión Claude in Chrome activa) + cuenta Google con acceso a los cursos.


MASTER PROMPT — Extracción Google Classroom → PDF

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IoTeacher / llm-wiki.md
Created May 21, 2026 17:03 — forked from karpathy/llm-wiki.md
llm-wiki

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.

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IoTeacher / practica_picow_apikey.md
Last active May 18, 2026 13:04
Práctica: Pico W como cliente IoT con API Key — 100 proyectos — Lenguajes de Interfaz ITT

🎛️ Práctica: Pico W como cliente IoT con procesamiento externo vía API Key

Materia: Lenguajes de Interfaz
Institución: Instituto Tecnológico de Tijuana
Modalidad: Individual
Lenguaje: MicroPython
Hardware: Raspberry Pi Pico W


Skills at Scale — Workshop de Claude Code

Video: https://youtu.be/pFsfax19yOM?si=bljuzQ0L9LvsjVNC

Presentadores: Nick Nisi & Zack Proer — Developer Experience Engineers, Applied AI Team @ WorkOS Tema: Escribir, evaluar y compartir Skills para programación agéntica con Claude Code


Tabla de contenidos

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IoTeacher / CLAUDE.md
Created May 11, 2026 03:40
CLAUDE.md — Universal ASCII / Terminal Dashboard Generator: guidance file for Claude Code to create beautiful, production-quality ASCII, ANSI, Unicode, and TUI dashboards from simple user objectives. Includes design system, composition rules, primitives, anti-patterns, library selection, and domain templates.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Project Mission

ascii-dashboards is a terminal UI dashboard generator library and toolkit.

Its mission is to create beautiful, useful, production-quality ASCII, ANSI, Unicode, and TUI dashboards from simple user objectives.

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IoTeacher / test_fan.py
Last active May 10, 2026 03:41
Distiller OS, Pamir.ai: Internal Fan Test
#!/usr/bin/env python3
"""
Manual fan and tachometer test for Distiller device
Tests PWM control and RPM sensor reading
"""
import os
import time
import subprocess
from pathlib import Path
image GPIO Table

Below is a technical GPIO table for the header shown in the image. The numbering appears to follow Raspberry Pi BCM GPIO numbering, not physical pin numbering.

### Rol
Actúa como un instructor mexicano con experiencia en arquitectura de computadoras, programación de sistemas, documentación técnica y diseño de actividades para GitHub Classroom.
### Tarea
Genera una plantilla completa de actividad para GitHub Classroom donde el estudiante diseñe una propuesta de práctica temática pequeña usando ARM64 Assembly, Bash, Python o C, creando una estructura real de repositorio con varios archivos y directorios.
### Contexto
- Idioma obligatorio de toda la salida: español mexicano.
- Tono: claro, académico, directo y entendible para estudiantes.
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IoTeacher / ec2-interfaz.sh
Last active April 27, 2026 23:30
AWS CloudShell to initialize a AMI micro for ARM assembly course
#!/bin/bash
# ==========================================
# Script: ec2-interfaz.sh
# Autor: MC. René Solis R. @IoTeacher
# Descripción: Automatizar procedimiento recurrente de nodo ARM64 para curso
# puede usarse como templete universal
# ==========================================
#!/bin/bash