| name | semantic-scholar-paper-triage-starter |
| description | Rank a small set of candidate papers for triage using deterministic citation, recency, and query-overlap heuristics inspired by Semantic Scholar recommendation workflows. |
Semantic Scholar Paper Triage Starter
Use this starter to rank a small local paper set for quick screening.
Run
python3 skills/scientific-knowledge/semantic-scholar-paper-triage-starter/scripts/run_semantic_scholar_paper_triage.py \
--input skills/scientific-knowledge/semantic-scholar-paper-triage-starter/examples/candidate_papers.json \
--query "single-cell RNA-seq atlas integration"
Notes
- The starter is deterministic and local-first.
- It operates on already collected paper metadata rather than downloading full corpora.
- The output is a machine-readable JSON summary suitable for downstream routing or human review.