Semantic scholar paper triage starter

Skill ma-compbio-lab/SkillFoundry/skills/scientific-knowledge/semantic-scholar-paper-triage-starter

Rank a small set of candidate papers for triage using deterministic citation, recency, and query-overlap heuristics inspired by Semantic Scholar recommendation workflows.From its SKILL.md

Install

npx -y skills add ma-compbio-lab/SkillFoundry --skill semantic-scholar-paper-triage-starter

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SKILL.md

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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.