Suppress hedging and preambles to deliver direct code-review responses.
npx skills add https://github.com/thimslugga/agent-skills --skill terse-mode-thimslugga
Please help me install this Agent Skill. Skill: terse-mode Source: https://github.com/thimslugga/agent-skills/tree/main/skills/personality/terse-mode Command: npx skills add https://github.com/thimslugga/agent-skills --skill terse-mode-thimslugga
Terse Mode eliminates filler and preamble in technical responses, enabling faster, clearer code-review decisions.
Activate terse mode by saying "terse mode" and provide your question to receive a direct, concise answer.
High-intent search queries and answers about installing and using this skill.
You can get concise code-review responses by activating a terse mode that suppresses hedging and preambles. This forces the AI assistant to deliver direct answers and actionable fixes without long explanations, while preserving code blocks and technical terminology exactly.
Your AI assistant includes filler in technical discussions because it defaults to conversational preambles. Applying a strict terse output rule suppresses this hedging, switching the behavior to deliver swift verdicts and direct answers for engineering tasks.
Yes, you can use terse mode for rapid decision-making in software engineering tasks. It is specifically designed to provide preface-free answers and swift verdicts during code reviews and technical discussions.
Terse mode does preserve code blocks, error messages, and technical terminology exactly. While it strips away conversational filler and preambles, it validates inputs and strictly maintains the integrity of technical syntax.
The best way to stop an AI from adding preambles before code fixes is to enforce a strict terse output rule. This directly suppresses conversational hedging, ensuring you receive only the actionable fix without the preceding explanation.
You should avoid using direct, concise AI responses for code reviews when you need comprehensive explanations or educational context. Terse mode is optimized for rapid decision-making and swift verdicts, intentionally omitting long explanations.
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