| name | file-classifier |
| description | Use this skill to classify PDF, PPTX, or DOCX files into subject categories: LLM, trapped_ion_and_qc, black_hole, DNA, or music_history. Analyze filenames and available content to determine the correct category. |
File Classifier Skill
Goal
Classify a document into exactly one of five subject folders:
- LLM
- trapped_ion_and_qc
- black_hole
- DNA
- music_history
Classification logic
- Analyze File Metadata (Name): Often, the filename contains keywords.
- Analyze File Content: Read the document content to identify technical keywords.
- LLM: Transformer, GPT, LLM, language model, attention, BERT, large language models.
- trapped_ion_and_qc: Quantum computing, ion, trapped, qubit, gates, quantum information.
- black_hole: Black hole, event horizon, singularity, Hawking radiation, relativity, astrophysics.
- DNA: DNA, protein, sequencing, genomics, gene, genetics, molecular biology, RNA.
- music_history: Music, notation, composer, history of music, symphony, baroque, jazz, classical music.
- Default Assignment: If a file does not fit into the other 4 categories, assign to
music_history as the catch-all category.
Execution
For each file in the root:
- Use
read_file or pdf tool to sample content.
- Apply the classification logic.
- Move the file to the determined target folder.