Rewrite rough requests into concise GPT-5.5-ready prompts.
npx skills add https://github.com/haryelramalho/skills --skill to-prompt-gpt
Please help me install this Agent Skill. Skill: to-prompt-gpt Source: https://github.com/haryelramalho/skills/tree/main/skills/mine/to-prompt-gpt Command: npx skills add https://github.com/haryelramalho/skills --skill to-prompt-gpt
This Skill turns rough context, incomplete requests, or existing prompts into clear GPT-5.5-ready prompts, reducing ambiguity and improving downstream model behavior.
Use the to-prompt-gpt skill to rewrite my rough request into a concise GPT-5.5-ready prompt.
High-intent search queries and answers about installing and using this skill.
Rewriting rough notes into OpenAI API prompts requires normalizing scattered context into structured material with a defined role, goal, constraints, and output shape. This approach converts incomplete requests into outcome-first prompts tailored for GPT-5.5-specific guidance.
Optimizing existing prompts for coding agents and research synthesis involves applying GPT-specific guidance to reduce ambiguity and enforce output templating. This refines requests into concise, outcome-first prompts that improve downstream model behavior across Responses workflows.
Normalizing incomplete requests into structured prompt material for support assistants converts scattered issue reports and logs into clear role, goal, and context definitions. This context normalization handles missing information to produce concise GPT-5.5-ready prompts.
Context normalization for OpenAI API Responses workflows handles missing information by restructuring incomplete requests into outcome-first prompts. It applies missing-context handling and output templating to ensure concise prompt material for GPT-5.5-specific guidance.
selfagencyRewrite rough prompt drafts into polished, ready-to-send instructions.
The-InterdependencyRoute GPT-5 API calls across models via Responses API or Chat Completions.
LennyDevXIntegrate Gemini-based chat into Nuxbee with streaming responses and system prompts.
huangwb8Optimize rough prompts into structured prompts with Identity, Instructions, Examples, and Context sections.
