Normalize Prompt Set into Eval Cases
Turn loose prompts into structured records with variables, contracts, and eval cases for Cursor, Claude, and Promptfoo-style gates.
Free
Works with the AI tools you already use
Claude Code
Cursor
Codex CLI
GitHub Copilot
Gemini CLI+20 moreClaude CodeCursorCodex CLIGitHub CopilotGemini CLI
OpenClaw
Manus
Grok+17 agentsNormalize Prompt Set into Eval Cases
Example session with this skill installed
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.
- Read your context and instructions
- Compiled the normalize prompt set
{
"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" }
}
]
}
Connects securely to your tools. The creator never sees your data.
About this skill
Normalize messy prompt dumps into target-ready records: named variables, input/output contracts, and eval cases an agent can actually run. Use it when a prompt folder is too loose to test, version, or hand to another operator.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
Skills folder by agent
Click the path to copy it. Create the folder if it does not exist yet.
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