Prompt Optimization
SkillAI & modelsImprove and rewrite user prompts to reduce ambiguity and improve LLM output quality. Use when a user asks to optimize, refine, clarify, or rewrite a prompt for better results, or when the request is about prompt optimization or prompt rewriting.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Prompt Optimization skill
What this skill tells your AI
The instructions your AI receives, as published by proflead/codex-skills-library in .codex/skills/prompt-optimization/SKILL.md and read by ahel’s review.
Goal
Improve the user's prompt so Codex (or any LLM) produces better output while preserving intent.
Workflow
- Read the user's original prompt carefully.
- Identify ambiguity, missing context, or unclear intent.
- Rewrite the prompt to remove ambiguity and provide clear instructions.
- Retain the core intention of the user's request.
- Add relevant constraints (format, length, style) when helpful.
Output format
Provide:
- Improved prompt
- Short explanation of what was improved
Constraints
- Do not assume domain knowledge not in the original prompt.
- Preserve user intent.
Example triggers
- “Draft me an email asking for feedback.”
- “Turn this into a daily to-do list.”
- $automating-productivity
Signals
- GitHub stars
- 144
- Forks
- 30
- Last commit
- Jul 2026
Advanced
- Catalog kind
- skill
- Gateway key
prompt-optimization-proflead- Source
- github.com/proflead/codex-skills-library