Paper classifier

Skill cxcscmu/SkillLearnBench/skills/b4-skill-creator-gemini-3-flash-preview/organize-messy-files/paper-classifier

[COLM'26] SkillLearnBench is the first benchmark for evaluating continual learning methods that automatically generate agent skills.From the repository description

Install

npx -y skills add cxcscmu/SkillLearnBench --skill paper-classifier

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

2.2 KB, 533 tokens by cl100k_base, as published. Nobody here has run it

name: paper-classifier description: Classifies academic papers and documents into 5 specific categories: LLM, Trapped Ion & Quantum Computing, Black Hole, DNA, and Music History. Use this skill whenever academic papers or documents need to be categorized based on their content, titles, or metadata.

Paper Classifier Skill

Categories and Keywords

1. LLM (Large Language Models)

Keywords: LLM, Large Language Model, Transformer, GPT, BERT, Attention Mechanism, Natural Language Processing, NLP, Prompt Engineering, Inference, Tokenization.
Context: Focuses on artificial intelligence, specifically language modeling and text generation.

2. Trapped Ion and Quantum Computing

Keywords: Trapped Ion, Quantum Computing, Qubit, Quantum Gate, Entanglement, Superposition, Ion Trap, Pauli, Quantum Circuit, Quantum Information.
Context: Focuses on quantum mechanics applied to computing, specifically using trapped ions.

3. Black Hole

Keywords: Black Hole, Event Horizon, Hawking Radiation, Schwarzschild, Singularity, General Relativity, Spacetime, Accretion Disk, Gravitational Waves.
Context: Focuses on astrophysics and gravitational physics.

4. DNA

Keywords: DNA, Genome, Nucleotide, Double Helix, Base Pair, Genetics, RNA, Sequencing, CRISPR, Mutation, Protein Synthesis.
Context: Focuses on molecular biology and genetics.

5. Music History

Keywords: Music History, Symphony, Composer, Beethoven, Mozart, Baroque, Classical Era, Romanticism, Jazz, Opera, Musicology, Composition.
Context: Focuses on the historical development of music and its composers.

Classification Logic

Step 1: Extract the title and available text from the document (using pdfgrep, pdftotext, or similar tools for PDFs; pandoc or docx2txt for DOCX/PPTX).
Step 2: Check for dominant keywords in the title and the first few pages/paragraphs.
Step 3: Assign the document to the category with the highest keyword frequency.
Step 4: If no category is an obvious fit, use the "Music History" category as the default (based on the "last one" instruction if applicable, or if it's the catch-all).

Verification

Cross-reference the assigned category with the file name to ensure logical consistency.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.