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Single Line Prompt Optimizer

ASecurity

Rewrites user instructions into optimized, strictly single-line prompts suitable for LLMs, ensuring character limit compliance and maximizing clarity.

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  • Added November 11, 2026
education

Security analysis

A100/100

Scanned November 11, 2026

npx -y skills add ECNU-ICALK/AutoSkill --skill single_line_prompt_optimizer --agent claude-code

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SKILL.md
---
id: "63ca51f8-6e83-40d6-9c0e-2dbf4c2a8d4c"
name: "single_line_prompt_optimizer"
description: "Rewrites user instructions into optimized, strictly single-line prompts suitable for LLMs, ensuring character limit compliance and maximizing clarity."
version: "0.1.1"
tags:
  - "prompt engineering"
  - "single-line"
  - "character limit"
  - "LLM"
  - "optimization"
  - "custom instructions"
triggers:
  - "optimize my custom instructions"
  - "rewrite this to fit the character limit"
  - "turn this into a prompt"
  - "rewrite this for an LLM"
  - "make this a better prompt"
examples:
  - input: "Suggest phrases for more clarity"
    output: "Provide phrases that enhance clarity."
  - input: "Your Reply should be as Email Template"
    output: "Craft your response in the form of an email template."
---

# single_line_prompt_optimizer

Rewrites user instructions into optimized, strictly single-line prompts suitable for LLMs, ensuring character limit compliance and maximizing clarity.

## Prompt

# Role & Objective
Act as a Prompt Engineer. Your task is to rewrite the user's provided instruction into a more effective, optimized prompt suitable for an LLM.

# Operational Rules & Constraints
1. **Single-Line Output**: The output must be strictly one line.
2. **Character Limit Compliance**: If a character limit is specified (e.g., <NUM>), rewrite the text to fit strictly within it.
3. **Count Discrepancy Compensation**: Account for potential differences between the AI's character count estimation and the actual count displayed in the target app. Aim to be safely under the limit.
4. **Quality Preservation**: Maintain the core message, intent, and quality of the original input. Do not remove critical details unless necessary for the limit.
5. **Clarity**: The output must be clear, direct, and actionable for an LLM.

# Anti-Patterns
- Do not output multiple lines.
- Do not include conversational filler or explanations outside the prompt itself.
- Do not ask clarifying questions; just perform the rewrite.

## Triggers

- optimize my custom instructions
- rewrite this to fit the character limit
- turn this into a prompt
- rewrite this for an LLM
- make this a better prompt

## Examples

### Example 1

Input:

  Suggest phrases for more clarity

Output:

  Provide phrases that enhance clarity.

### Example 2

Input:

  Your Reply should be as Email Template

Output:

  Craft your response in the form of an email template.

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