Adam Erickson admercs

OpenClaw Prompts - Build Your Own AI Assistant

Prompts to recreate each piece of the OpenClaw system. Use these with any AI coding assistant.

1. Personal CRM "Build a personal CRM that automatically scans my Gmail and Google Calendar to discover contacts from the past year. Store them in a SQLite database with vector embeddings so I can query in natural language ('who do I know at NVIDIA?' or 'who haven't I talked to in a while?'). Auto-filter noise senders like marketing emails and newsletters. Build profiles for each contact with their company, role, how I know them, and our interaction history. Add relationship health scores that flag stale relationships, follow-up reminders I can create, snooze, or mark done, and duplicate contact detection with merge suggestions. Link relevant documents from Box to contacts so when I look up a person, I also see related docs."

2. Meeting Action Items (Fathom)

Fern's NixOS Vim Guide

A newbie friendly guide to configuring Vim in NixOS

File Structure

Create the following file struture in /etc/nixos

/etc/nixos
    |-- apps
        |-- vim
            |-- default.nix 
            |-- vimPlugins.nix

How to setup next.js app on nginx with letsencrypt

next.js, nginx, reverse-proxy, ssl

1. Install nginx and letsencrypt

$ sudo apt-get update
$ sudo apt-get install nginx letsencrypt

Also enable nginx in ufw

Task

Convert mac-os-el-capitan-pkg-to-iso.sh from using hdiutil and asr to using Linux utilities.

See https://gist.github.com/solderjs/22d08c4b582779485e0df11c5d84063a#file-mac-os-el-capitan-pkg-to-iso-sh

Steps

Important: You will need about 30GB of free disk space.

Deploy Next.js static to GitLab pages

Create a basic GitLab CI config:

$ cat .gitlab-ci.yml
image: node

before_script:
 - npm install

Effective Modern CMake

Getting Started

For a brief user-level introduction to CMake, watch C++ Weekly, Episode 78, Intro to CMake by Jason Turner. LLVM’s CMake Primer provides a good high-level introduction to the CMake syntax. Go read it now.

After that, watch Mathieu Ropert’s CppCon 2017 talk Using Modern CMake Patterns to Enforce a Good Modular Design (slides). It provides a thorough explanation of what modern CMake is and why it is so much better than “old school” CMake. The modular design ideas in this talk are based on the book [Large-Scale C++ Software Design](https://www.amazon.de/Large-Scale-Soft

	#!/usr/bin/env python

	import math
	import matplotlib.pyplot as plt
	import torch
	import torch.nn as nn

	from sklearn.datasets import make_moons
	from torch import Tensor
	from tqdm import tqdm

	# Serve nextJS app from a port through NGINX reverse proxy (HTTP)
	# Path: /etc/nginx/sites-available/default
	# Default server configuration for HTTP

	server {
	server_name www.DOMAINNAME.com DOMAINNAME.com;

	# Serve any static assets with NGINX
	location /_next/static {
	alias /home/ubuntu/PROJECT_FOLDER/.next/static;

	I've tested it on Fedora 23 and Ubuntu 16.04. I'm using gcc-5.3.1, python-3.4, VS Code-1.14.0
	You can debug mixed Python/C++ in the same GUI. It also works for MPI applications. You can switch between the debuggers and corresponding call stacks.

	1. Packages needed
	1) Visual Studio Code

	2) Extensions for VS Code:
	"Python" from Don Jayamanne (I'm using 0.6.7)
	This allows VS Code act as the front end to debug python.
	This gives VS Code ability to attach to a python script that uses module "ptvsd".

	Pretty print tables summarizing properties of tensor arrays in numpy, pytorch, jax, etc.

	Now on pip! `pip install arrgh` https://github.com/nmwsharp/arrgh