Rewrite user prompts into structured instructions with role and objective sections.
npx skills add https://github.com/Andresch2/Workflows --skill meta-prompt-andresch2
Please help me install this Agent Skill. Skill: meta-prompt Source: https://github.com/Andresch2/Workflows/tree/main/ai-specs/skills/meta-prompt Command: npx skills add https://github.com/Andresch2/Workflows --skill meta-prompt-andresch2
This Skill rewrites an unclear or incomplete prompt into a structured, best-practice version so the AI produces a precise and exhaustive result.
Use this skill by pasting the original prompt you want to improve, then ask the AI to rewrite it with prompt-engineering best practices for a precise and complete outcome.
High-intent search queries and answers about installing and using this skill.
To rewrite rough prompts into structured instructions, you paste your original text and apply prompt engineering best practices. This adds clear role, objective, and formatting sections to reduce ambiguity and omissions for clearer AI outputs.
Prompt structuring is the process of adding clear sections like role and objective to guide the AI model. You need it for AI prompting when your original request lacks clarity, causing ambiguous or incomplete model responses.
Yes, you can enforce scope-only responses for any task by analyzing the original prompt's intent and locking the scope. This ensures the AI sticks strictly to the requested objective while preserving your original intent.
The best way to format prompts for reuse is to produce a clean, execution-ready prompt structure. This output formatting organizes the instructions logically, making them suitable for direct use in subsequent follow-up requests.
Your AI output contains omissions because unstructured instructions often fail to enforce scope. Rewriting your prompt into a structured format with explicit role and objective sections reduces these ambiguities and enforces exhaustive results.
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