Scientific Data Preprocessing | Agent Skills Atlas

About this skill

⚠️ CRITICAL USER EXPERIENCE-BASED SKILL - ALWAYS CONSULT BEFORE DATA PREPROCESSING ⚠️ Prevents catastrophic errors (88.9% error rate in V1.0 case study) through multi-level feature analysis, data leakage detection, and semantic validation. MANDATORY for: data preprocessing, feature engineering, standardization, normalization, interpolation, missing value handling, feature selection, or ANY data transformation task. Covers grouped time-series, cross-sectional, panel data. Detects: time travel leakage, causal inversion, ID misuse, semantic-numeric fallacies, distribution blindness. User's hard-won lessons from real project failures.

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Automated security scan: Partial

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0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1

Content SHA-256: 659d073666eade183d7280a85f7dbd772d394ac43f250bf82f9b159c0b695428

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Original listing metadata

Original name

scientific-data-preprocessing

Original description

About this listing

Category: Science & research
Reported license: Not specified
Listing language (estimated): English
Review status: Not individually reviewed
Agent compatibility: Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.