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Data Cleaner — for Local Models

This is the Local Models version of the Data Cleaner skill: specify and perform a cleaning pass on tabular data with a change log. For local models (Llama, Mistral, GLM via Ollama or LM Studio) the skill becomes the system prompt: the text below goes in the SYSTEM block of a Modelfile or the system-prompt field of your runner, saved as a named specialist.

The file

✎ Editable — click in, customize or extend this prompt, then copy. Your edits copy with it.Take this prompt into the Generator and customize it to your own specification →
Download system-prompt.txt

Install

  1. Put the text in the SYSTEM block of a Modelfile (or the system field of your runner)
  2. Set temperature low (0.2-0.4) - procedures want consistency, not variety
  3. Build the named model and test it on one real input before relying on it

Other platforms

Claude versionChatGPT versionGemini versionMicrosoft Copilot versionQwen & Kimi version

Canonical version and the skill's full description: Data Cleaner. The underlying procedure is identical on every platform - only the packaging differs, because each model takes its skills its own way.

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