Summary
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.
Install to Claude Code
npx -y skills add aradotso/trending-skills --skill talk-normal-llm-prompt --agent claude-codeInstalls into .claude/skills of the current project.
Plug Mailtrap into your AI workflow and let it handle the email.
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one prompt install →Files
SKILL.md
Select a file.
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
