Talk Normal Llm Prompt

A system prompt that strips the corporate padding and bullet point bloat from LLM responses while keeping the actual information. You paste it into ChatGPT's custom instructions, Claude project settings, or the system parameter of any API call, and it teaches the model to drop phrases like "I'd be happy to help" and nested lists that say nothing. The repo reports roughly 73% character reduction on GPT-4o and GPT-5.4 in testing. Works across OpenAI, Anthropic, Gemini, and local Ollama models. If you're tired of scrolling past three paragraphs of throat-clearing to get a two sentence answer, this does exactly one thing well.

skills.sh installs: 371
GitHub stars: 26
last updated: Jun 3, 2026

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Install

$ npx -y skills add aradotso/trending-skills --skill talk-normal-llm-prompt --agent claude-code

Installs into .claude/skills of the current project.

Files

talk-normal

Skill by ara.so — Daily 2026 Skills collection.

talk-normal is a system prompt (plus a shell-script helper) that strips AI slop — bullet-point padding, hollow affirmations, corporate filler — from any LLM while preserving all useful information. Tested at ~73% character reduction on GPT-4o-mini and GPT-5.4 with no information loss.

How it works

The project is a single prompt.md file (the system prompt) plus optional shell helpers. You copy the prompt text into the "System" field of any LLM interface or API call.

repo layout
├── prompt.md          ← the system prompt (main artifact)
├── CHANGELOG.md       ← rule history
├── CONTRIBUTING.md    ← how to add rules
└── TEST_RESULTS.md    ← before/after comparisons

Installation

1 — Clone the repo

git clone https://github.com/hexiecs/talk-normal.git
cd talk-normal

2 — Read the prompt

cat prompt.md

3 — Copy into your tool

SKILL.md on GitHub

Details

Repository: github.com/aradotso/trending-skills
Category: AI & Agent Building
First seen: Jun 3, 2026