Normalize Prompt Set
by Corey Jacobs
Convert loose prompt sets into structured, target-ready records with variables, contracts, and eval cases.
Free
Works with the AI tools you already use
See it in action
You say
I have two prompts for my customer support bot: one for summarizing tickets and one for drafting replies. Convert them into a structured set for an API target.
Your agent does
{ "set_name": "support-bot-workflow", "use_target": "api", "records": [ { "record_id": "summarize-ticket", "prompt_intent": "Extract key issues and sentiment", "user_message_template": "Summarize this ticket: {{ticket_text}}", "response_schema": { "summary": "string", "urgency": "int" } } ] }
About this skill
Streamline Your Prompt Engineering
Inconsistent prompts lead to unreliable AI behavior. Normalize Prompt Set is a professional-grade developer tool designed to transform fragmented, loose prompt instructions into structured, production-ready "Prompt Records." Whether you are moving from a messy chat history to a stable API implementation or building a multi-step agentic workflow, this skill provides the rigorous schema needed to ensure operational fidelity.
What it does
This skill takes two or more related prompts and subjects them to a "Full Normalization Run." It extracts variables, defines strict input/output contracts, establishes evaluation cases, and generates success criteria. The result is a standardized record precisely formatted for your specific target environment.
- Variable Standardization: Automatically identifies editable placeholders and defines their types and validation rules.
- Contract Definition: Specifies exactly what data must be provided and how the response must be shaped.
- Target Optimization: Tailors the output for ChatGPT, Custom GPTs, Stateful Agents, or API-bound development.
- Reliability Testing: Generates an 'Eval Case' for every record to ensure predictable performance.
Why use this skill?
Prompting an AI manually often results in "vibes-based" engineering. This skill replaces guesswork with a repeatable data structure. It is ideal for developers who need to hand off prompts to non-technical users, integrate LLMs into software via API, or manage complex instruction sets for Custom GPTs without hitting token limits or losing behavioral consistency.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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