deadpan

Strip openers, hedging, sign-offs, and emoji from LLM text.

6|1|Updated Jun 23, 2026

Search Tags:#llm #skill mode #response cleanup #clear output #cli filter

Ready to run

npx skills add https://github.com/JGalego/Bag-of-Tricks --skill deadpan

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: deadpan
Source: https://github.com/JGalego/Bag-of-Tricks/tree/main/deadpan
Command: npx skills add https://github.com/JGalego/Bag-of-Tricks --skill deadpan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Deadpan addresses the issue of excessive personality and unnecessary language in LLM responses, providing users with concise, direct information.

Core Features & Use Cases

LLM Response Cleanup: Strips out unnecessary language such as openers, hedging, sign-offs, and emoji to enhance clarity.
Skill Mode: Activates a mode in LLMs to generate responses with minimal fluff, ideal for direct communication.
CLI Filter: Applies the same principles to existing text, making it ideal for post-processing text output from LLMs.

Quick Start

Use the deadpan skill to generate a direct response to the prompt 'What is the capital of France?'.

Frequently Asked Questions about deadpan

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I remove unnecessary personality and fluff from LLM responses?▼

To remove unnecessary personality and fluff from LLM responses, you can use a skill mode or CLI filter to strip out openers, hedging, sign-offs, and emoji, resulting in clear, direct communication.

What is the best way to clean up LLM generated text for direct communication?▼

The best way to clean up LLM generated text for direct communication is to apply a CLI filter that post-processes the output, removing unnecessary language and enhancing clarity without altering the core information.

Can I use a skill mode to generate LLM responses with minimal fluff?▼

Yes, you can use a skill mode to generate LLM responses with minimal fluff, activating a mode that instructs the model to produce concise, direct communication by default.

Does LLM response cleanup remove openers and sign-offs from text output?▼

LLM response cleanup removes openers, hedging, sign-offs, and emoji from text output, ensuring the processed content contains only the direct information requested without conversational filler.

What text input is required to process LLM output through a CLI filter?▼

Processing LLM output through a CLI filter requires a text input to process, which the filter then cleans up by removing unnecessary language and personality to produce direct output.

When should I not use LLM response cleanup on my text?▼

You should not use LLM response cleanup when conversational tone, personality, or specific sign-offs are intentionally required, as it strips these elements to enforce clear, direct communication.