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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)

Fine-tuning llama 2 7B to analyze financial reports and write “funny” tweets

Sharing some insights from a recent weekend fun project where I tried to analyze and summarize financial reports using a fine-tuned LLM.

My initial goal was to train a model to summarize the annual/quarterly financial reports of public companies (aka 10-K / 10-Q). But, realizing that straightforward financial summaries are boring, I thought of tuning LLM to generate sarcastic summaries of these reports. Something short I could post on Twitter.

Data exploration and dataset prep

Working with financial reports ain’t easy. You download them in html format, they’re pretty dense with ~100 pages filled with tables that can be tough to parse, many legal disclaimers and various useless info. I knew I wanted to get 3-5 funny tweets as an output from a report. But I spent quite some time figuring out what data to actually input to get the result - a page, a section, a table?

Following commands disables Microsoft AutoUpdate launch agent from launching at boot and periodicaly checking for updates.

sudo defaults write /Library/LaunchAgents/com.microsoft.update.agent.plist Disabled -bool YES
sudo defaults write /Library/LaunchAgents/com.microsoft.update.agent.plist RunAtLoad -bool NO
sudo chflags schg /Library/LaunchAgents/com.microsoft.update.agent.plist

source: https://forums.macrumors.com/threads/how-to-get-rid-of-microsoft-autoupdate.2231809/?post=28384662#post-28384662

Adaptive Streaming has become the neccessity for streaming video and audio. Unfortantely, as of this post, there isn't a whole lot of tutorials that accumulate all of the steps to get this working. Hopefully this post achieves that. This post focuses on using Amazon Web Services (AWS) to transcode for HLS and DASH and be the Content Delivery Network (CDN) that delivers the stream to your web page. We'll be using Video.js for the HTML5 player as well as javascript support libaries to make Video.js work with HLS and DASH.

So Here's what you need:

Set up three S3 buckets

Official source for the latest firmware

Eken supply firmware for their H2, H2R, H3, H3R, H8, H8R, H9 and H9R cameras via the following site:

http://ftp.eken.com/

The "R" camera versions come with a remote control.

Selecting the right file

HUG live streaming tips

We think less time lags are important for live streaming.
- For this reason, we are using WebRTC on HUG( http://hugvr.com ).
Improving publisher's environment is the most important point if you want to stream high quality video.

Recommended browser for live streaming

Firefox

Recommended tools for outside live streaming

Windows laptop

lodash v4.17.20

Environment

export ACD_LOCAL=$HOME/.cache/Amazon-Cloud-Drive

# To use this file later
export ENCFS6_CONFIG=$ACD_LOCAL/encfs6.xml

Setup

mkdir -p \

	import ansiStyles from '#ansi-styles';
	import supportsColor from '#supports-color';
	import { // eslint-disable-line import/order
	stringReplaceAll,
	stringEncaseCRLFWithFirstIndex,
	} from './utilities.js';

	#!/bin/sh

	# Make sure to:
	# 1) Name this file `backup.sh` and place it in /home/ubuntu
	# 2) Run sudo apt-get install awscli to install the AWSCLI
	# 3) Run aws configure (enter s3-authorized IAM user and specify region)
	# 4) Fill in DB host + name
	# 5) Create S3 bucket for the backups and fill it in below (set a lifecycle rule to expire files older than X days in the bucket)
	# 6) Run chmod +x backup.sh
	# 7) Test it out via ./backup.sh