Rewrite user prompts into expert-level structured requests for AI systems.
npx skills add https://github.com/erlebach/gordon --skill prompt-enhancer-erlebach
Please help me install this Agent Skill. Skill: prompt-enhancer Source: https://github.com/erlebach/gordon/tree/main/skills/prompt-enhancer Command: npx skills add https://github.com/erlebach/gordon --skill prompt-enhancer-erlebach
This skill helps users elevate vague or rudimentary prompts into precise, domain-specific instructions suitable for AI systems, enabling clearer expectations and better outcomes.
Provide the prompt you want rewritten, and I will return an expert-framed rewrite ready for use.
High-intent search queries and answers about installing and using this skill.
To rewrite a vague prompt into an expert-level AI request, provide your original text to the prompt-enhancer. It preserves your core intent while restructuring the input with domain-specific terminology, decomposed tasks, and structured constraints for clearer AI communication.
Prompt engineering framing is the process of applying domain-appropriate terminology and structured decomposition to user prompts. You need it when your rudimentary prompts produce unclear expectations or poor outcomes from AI systems.
Yes, you can tailor a rewritten prompt for a specific audience and context. The prompt-enhancer applies role- and context-sensitive improvement to adapt your instructions to specific constraints, ensuring the output meets your target requirements.
The best way to structure a prompt for another AI system is to use expert framing with decomposed tasks. This approach increases clarity and specificity, transforming basic instructions into reusable templates that can be adapted across different tasks.
Rewriting your prompt will not change your original intent. The prompt-enhancer strictly preserves your underlying goal while increasing clarity, specificity, and domain-appropriate framing to achieve better outcomes from the target AI.
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