Compress responses into concise text with lite, medium, or max levels.
npx skills add https://github.com/MADTeacher/skills --skill briefmode
Please help me install this Agent Skill. Skill: briefmode Source: https://github.com/MADTeacher/skills/tree/main/briefmode Command: npx skills add https://github.com/MADTeacher/skills --skill briefmode
Reduces token usage by delivering concise, technically precise responses.
Enable brief mode (default medium) and ask your question as usual to receive a concise answer.
High-intent search queries and answers about installing and using this skill.
Reduce token usage by enabling a conciseness mode that removes filler language while preserving critical terminology and correctness. This approach compresses dialogue across chat, documentation, and code interactions, maintaining technical precision through three intensity levels.
The conciseness mode offers three intensity levels: lite, medium, and max. Each level progressively removes water from responses while preserving key technical terms, allowing you to balance brevity against detail based on your token savings goals.
Yes, concise AI answers apply to documentation and code-related interactions where brevity matters. The mode maintains accuracy and critical terminology despite shorter text, ensuring technical correctness across chat and code contexts.
Yes, briefmode works without external dependencies or components. You simply enable the mode, defaulting to medium intensity, and ask questions as usual to receive technically precise, compressed responses immediately.
Enable the thesis-style concise mode and ask your question as usual to receive a brief answer. The mode defaults to medium intensity, stripping filler language while keeping technical terminology and correctness intact.
Avoid maximum conciseness when chat, documentation, or code interactions require extensive context or conversational flow. Max intensity strips filler language aggressively, which suits token savings but may remove transitional phrasing needed for complex explanations.
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