prompt-optimization
Improve 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.
Datos de origen
- Repositorio
- proflead/codex-skills-library
- Última actividad en el origen
- 12 de enero de 2026 a las 16:12
- Idioma detectado de SKILL.md
- inglés
- Estrellas
- 159
- Forks
- 36
Opciones de instalación
De forma predeterminada está seleccionado el prompt que primero revisa el origen. Puedes cambiar a un comando directo o descargar una copia local.
Revisa los archivos de origen
Lee SKILL.md y los archivos complementarios que muestra SkillsMP antes de decidir si quieres instalarlo.
Mostrando SKILL.md
SKILL.md
Instrucciones de origen · Vista previa de solo lectura- name
- prompt-optimization
- description
- Improve 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.
# Prompt Optimization
## Goal
Improve the user's prompt so Codex (or any LLM) produces better output while preserving intent.
## Workflow
1. Read the user's original prompt carefully.
2. Identify ambiguity, missing context, or unclear intent.
3. Rewrite the prompt to remove ambiguity and provide clear instructions.
4. Retain the core intention of the user's request.
5. 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
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