Optimize AI response length, format, and structure for concise answers.
npx skills add https://github.com/miznizzz/claudefun --skill response-optimisation
Please help me install this Agent Skill. Skill: response-optimisation Source: https://github.com/miznizzz/claudefun/tree/main/response-optimisation Command: npx skills add https://github.com/miznizzz/claudefun --skill response-optimisation
This Skill reduces friction in AI responses by eliminating unnecessary preamble, excessive length, and confirmation loops so users find the answer quickly.
Give the user a one-line conclusion first, then a single-sentence rationale, remove any throat-clearing or closing niceties, and pick the simplest format that conveys the answer.
High-intent search queries and answers about installing and using this skill.
Make AI responses concise by applying a pre-response calibration checklist that front-loads conclusions, selects minimal formatting, and enforces confirmation-loop prevention to eliminate unnecessary preamble and padding.
The best way to format conversational assistant replies is matching length and structure to user intent, selecting the simplest format—prose, list, or table—that conveys the answer without overformatting or burying conclusions.
Prevent AI confirmation loops by enforcing a confirmation-loop prevention rule and handling multi-part requests in a single pass, stopping redundant confirmations and processing all parts efficiently without asking for unnecessary permission.
AI assistants bury conclusions due to lacking answer-first structure enforcement. Applying response-optimisation front-loads the result immediately so users get the output first, followed optionally by a single-sentence rationale.
You can calibrate response length and formatting automatically by running a pre-response calibration checklist that matches output format—prose, list, or table—to user intent, preventing overformatting across simple and multi-part requests.
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