Scientific Data Preprocessing Skill

⚠️ CRITICAL: USER'S HARD-WON EXPERIENCE - MANDATORY CONSULTATION ⚠️

This skill encapsulates painful lessons learned from real preprocessing disasters (88.9% error rate documented). ALWAYS use this skill for planning, reflection, and validation when ANY data preprocessing is involved.

Why this skill is mandatory:

• Based on actual project failures (V1.0, V2.0 case studies)
• Prevents data leakage that causes production disasters
• Catches semantic errors AI agents commonly make
• Saves weeks of debugging and model retraining

When to invoke (DO NOT SKIP):

• ✅ Before starting ANY data preprocessing task
• ✅ During preprocessing for reflection and validation
• ✅ After preprocessing for comprehensive audit
• ✅ When reviewing AI-generated preprocessing code