scientific-classification

Installation
SKILL.md

Scientific Classification & Detection

Purpose

Classify scientific objects and detect patterns using established taxonomies and classification schemes.

Key Datasets

  • SDSS Stellar Classification (Allanatrix/Astro): 100K objects from SDSS DR17 — Stars, Galaxies, Quasars with photometric features (u, g, r, i, z magnitudes, redshift)
  • Social Bias Frames (allenai/social_bias_frames): Allen AI SBIC corpus for detecting implicit social biases in text

Protocol

  1. Feature extraction — Identify relevant features for classification task
  2. Taxonomy mapping — Map to standard classification scheme
  3. Classification — Apply appropriate classifier with confidence scores
  4. Validation — Cross-validate against known labeled examples
  5. Edge case analysis — Flag ambiguous or borderline cases
Installs
18
GitHub Stars
885
First Seen
Apr 6, 2026
scientific-classification — beita6969/scienceclaw