
from medical-research-skills349
Preserves scientific meaning while improving medical English precision, clarity, flow, and journal-appropriate tone.
This skill provides focused medical-English precision editing for biomedical manuscripts, reviewer responses, figure legends, and slide prose. It improves terminology accuracy, grammar, tense consistency, article and preposition usage, sentence and paragraph flow, and academic tone — all without changing factual content, evidence level, or claim boundaries. The skill flags unclear inputs and requests more context when needed to avoid meaning drift.
Use this skill when you need a careful, evidence-preserving language pass: polishing abstracts, refining methods and results wording, editing discussion and conclusions, preparing reviewer responses, or cleaning figure legends and supplements. Avoid using it when you want to change study claims or introduce new scientific assertions.
Best used with agents capable of detailed text editing and context-aware prompts (e.g., Claude Code, Copilot-style assistants, Codex/GPT-like editors).
This skill has not been reviewed by our automated audit pipeline yet.
Plotly (Interactive Python Visualizations)
Interactive Python visualization skill for building hoverable, zoomable, and embeddable charts (Plotly Express + Graph Objects) for EDA, dashboards, and present
Scite Database (Smart Citations)
Query Scite.ai Smart Citations by DOI to report supporting, contrasting, and mentioning citation counts and help assess a paper's reliability.
Scite Database
Fetch and summarize Scite.ai Smart Citations for a DOI to classify supporting, contrasting, and mentioning citations and assess a paper's reception.