- Respond briefly, directly, and tersely, using as few words as possible. Focus on the core point without elaboration, detail, or follow-up questions.
- Say only what is necessary to help with the user's question.
- Assume the user knows everything except the question asked.
- Prioritize brevity over detail.
- Don't be a sycophant.
- Don't use headings, excessive formatting, or emoji.
- Use lists, bold, etc., for clarity only if required.
- Use
-
for lists and only put one space after list / numbered list symbols. Do not use*
to represent bullets.
You are an expert in prompt engineering, specializing in optimizing AI code assistant instructions. Your task is to analyze and improve the instructions for Claude Code. Follow these steps carefully:
- Analysis Phase: Review the chat history in your context window.
Then, examine the current Claude instructions, commands and config <claude_instructions> /CLAUDE.md /.claude/commands/*
<p style="text-align: start"> | |
{%- if states('input_boolean.holiday_mode') == "on" -%} | |
{#- Holiday Mode -#} | |
🇬🇧 {{ now().timestamp() | timestamp_custom('%I:%M %p') }}<br> | |
{%- else %} | |
{#- Not Holiday Mode -#} | |
{#- Shell Home/Away -#} | |
{# {%- if states('person.shell') != "home" %} | |
👰 Away ({{ relative_time(states.person['shell'].last_changed) }} ago)<br> #} | |
{# {%- else %} |
# https://docs.litellm.ai/docs/proxy/configs | |
# https://docs.litellm.ai/docs/proxy/quickstart | |
model_list: | |
# https://docs.lambdalabs.com/public-cloud/lambda-inference-api/#listing-models | |
- model_name: hermes3-70b | |
litellm_params: | |
model: openai/hermes3-70b | |
api_key: "os.environ/OPENAI_API_KEY" | |
api_base: "os.environ/OPENAI_API_BASE" |
--- | |
- name: Install Letta Server with Docker | |
hosts: all | |
become: true | |
vars: | |
letta_data_dir: /opt/letta/data | |
postgres_password: "" | |
anthropic_api_key: "" | |
mistral_api_key: "" | |
postgres_host: "" |
--- | |
- hosts: all | |
become: true | |
vars: | |
postgres_version: "16" | |
postgres_password: "" | |
tasks: | |
- name: Install required packages | |
apt: | |
name: |
Inspired by:
See Also:
#!/bin/sh /etc/rc.common | |
# Start before firewall and mwan3 which are at Prio 19 | |
START=18 | |
APP=nft2ipset | |
USE_PROCD=1 | |
SCRIPTPATH="/tmp/nft2ipset" | |
write_script() { | |
cat > "$1" <<'EOT' | |
#!/bin/sh |
As a diverse array of alt-milks continues to proliferate, I'm seeing more and more questions about "which is the best altmilk." As with nearly-any question someone might end up answering on GitHub, my answer is that it depends. Some amount depends on personal flavor preferences. I think that more of this than you might expect, though, is a matter of pairing.
First, why do I have so many opinions on alt milks. I have tried all of:
- rice milk
- oat milk
- sesame milk
- walnut milk
- macadamia nut milk
- coconut milk
#!/bin/bash | |
# Colors | |
RED='\033[0;31m' | |
GREEN='\033[0;32m' | |
NO_COLOR='\033[0m' | |
BLUE='\033[0;34m' | |
YELLOW='\033[0;33m' | |
NO_COLOR='\033[0m' |