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Run2 subject classifier

Skill cxcscmu/SkillLearnBench/skills/b2-self-feedback-gemini-3.1-flash-lite-preview/organize-messy-files/run2_subject-classifier

Maps extracted text to one of the 5 defined subjects.From its SKILL.md

Install
npx -y skills add cxcscmu/SkillLearnBench --skill run2_subject-classifier

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

SKILL.md

0.7 KB, 175 tokens by cl100k_base, as published. Nobody here has run it

Subject Classifier Skill

Classifies text into: LLM, trapped_ion_and_qc, black_hole, DNA, or music_history.

Usage

def classify(text):
    text = text.lower()
    mapping = {
        'LLM': ['language model', 'transformer', 'attention', 'gpt', 'llm'],
        'trapped_ion_and_qc': ['trapped ion', 'quantum computer', 'qubit', 'entanglement'],
        'black_hole': ['black hole', 'event horizon', 'singularity'],
        'DNA': ['dna', 'genome', 'protein', 'gene', 'sequencing']
    }
    for category, keywords in mapping.items():
        if any(keyword in text for keyword in keywords):
            return category
    return 'music_history'

What ships with it

Read from the repository

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

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.