Extract user intent from prompts and refine content through iterative questioning.
npx skills add https://github.com/jbrukh/skills --skill sharpen-prompt
Please help me install this Agent Skill. Skill: sharpen-prompt Source: https://github.com/jbrukh/skills/tree/main/skills/sharpen-prompt Command: npx skills add https://github.com/jbrukh/skills --skill sharpen-prompt
Sharpening and clarifying outputs from any prompt or content by extracting real intent and guiding iterative questioning, reducing ambiguity and improving results.
I want you to sharpen this draft by extracting intent and guiding a short sequence of clarifying questions to deliver a tighter result.
High-intent search queries and answers about installing and using this skill.
To sharpen a vague LLM prompt, this skill extracts the real intent behind your text and uses iterative questioning to surface missing constraints, delivering a tighter, more actionable version of the original prompt.
Iterative questioning for refining prompts works by systematically asking targeted questions to surface missing constraints, scope, and success criteria, then using those answers to produce a clearer, more actionable output.
Yes, you can use this to refine content beyond prompts, because it extracts real intent from any output—whether a story, procedure, or analysis—and sharpens it for maximum impact across contexts.
To clarify ambiguous outputs and extract real intent from a draft, the skill identifies the true objective behind your text, guides iterative questioning to reduce ambiguity, and refines the content into a sharper result.
The best way to reduce ambiguity and improve LLM output quality is to iteratively clarify the real intent and constraints of your content, then refine it into a tighter, more targeted result aligned with your objective.
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