AutoSkill single_line_prompt_optimizer
Rewrites user instructions into optimized, strictly single-line prompts suitable for LLMs, ensuring character limit compliance and maximizing clarity.
install
source · Clone the upstream repo
git clone https://github.com/ECNU-ICALK/AutoSkill
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/ECNU-ICALK/AutoSkill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/SkillBank/ConvSkill/english_gpt4_8/single_line_prompt_optimizer" ~/.claude/skills/ecnu-icalk-autoskill-single-line-prompt-optimizer && rm -rf "$T"
manifest:
SkillBank/ConvSkill/english_gpt4_8/single_line_prompt_optimizer/SKILL.mdsource content
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
- Single-Line Output: The output must be strictly one line.
- Character Limit Compliance: If a character limit is specified (e.g., <NUM>), rewrite the text to fit strictly within it.
- 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.
- Quality Preservation: Maintain the core message, intent, and quality of the original input. Do not remove critical details unless necessary for the limit.
- 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.