メニュー
このリポジトリの skills
SkillsMP は brycewang-stanford/Awesome-Journal-Skills から 3,455 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
brycewang-stanford/Awesome-Journal-Skills収集済み skill 3,455 件中 15 件を表示しています。
Use when deciding whether a physics result clears Physical Review Letters' importance-and-broad-interest gate, or whether it belongs in Physical Review A–E / PR Research. Diagnoses venue fit; does not write or frame the result.
原文の言語: 英語
Use when partitioning content between the Physical Review Letters body and its Supplemental Material, ensuring the Letter stands alone while derivations and extended data live in the SM. Organizes the SM; does not write the Letter body.
原文の言語: 英語
Use to build Cell's data and code deposition plan and the Data and Code Availability statement that lives inside STAR Methods Resource Availability — approved repositories, accessions/DOIs at submission, and Cell's three-bullet availability format with…
原文の言語: 英語
Use to lock the single narrative arc before drafting — converts a set of correct results into one Cell-shaped story that runs hypothesis → mechanism → significance, not a list of experiments.
原文の言語: 英語
Use after Cell reviews arrive to triage the decision, prioritize the (often substantial) new experiments by impact × feasibility, and draft a point-by-point response that is respectful, evidence-led, and closes the "completeness" gaps reviewers demand. Do not…
原文の言語: 英語
Use to build Cell's mandatory STAR Methods — the Key Resources Table, the three Resource Availability subsections, Experimental Model and Subject Details, Method Details, and Quantification and Statistical Analysis, in the exact required order.
原文の言語: 英語
Use to structure a Cell Article and hold its length — Summary, Introduction, Results, Discussion, STAR Methods, figure legends, references — with main-text length and display-item budgets, and Results subheadings driving the single arc.
原文の言語: 英語
Use to build The Lancet's signature Research in context panel — the three mandatory headed parts (Evidence before this study, Added value of this study, Implications of all the available evidence), grounded in a systematic literature search with stated…
原文の言語: 英語
Use after NEJM reviews arrive — often including a dedicated statistical reviewer and an editor letter — to triage the decision, answer statistical comments rigorously, and draft a point-by-point response that quotes each comment, the response, and the revised…
原文の言語: 英語
Use to convert references to PNAS's numbered citation style — cited in order of appearance, a numbered reference list, full author lists, abbreviated journal titles. Provides formats for article/book/chapter/dataset/preprint and an author-date → PNAS…
原文の言語: 英語
Use to build PNAS's Data Availability Statement and deposition plan — mandatory deposition of data in an approved repository at submission, accession numbers/DOIs, public + archived code, and materials sharing. "Available on request" is not sufficient for…
原文の言語: 英語
Use to finalize PNAS display items — column-width sizing (~9 / 11.4 / 18 cm), minimum font sizes, show-the-data with n and defined error bars, scale bars, colorblind-safe palettes, legend structure, image integrity, and color-mode notes. Enforces figure rigor…
原文の言語: 英語
Use to write the mandatory PNAS Significance Statement — ≤120 words, written so an educated reader outside the field (down to an undergraduate) understands why the work matters. Distinct from the abstract. The highest-value PNAS-specific artifact.
原文の言語: 英語
Use to choose the PNAS submission track — Direct Submission (standard, editor-assigned, peer reviewed) vs Contributed Submission (an NAS member communicates their own paper). Covers eligibility, the editor/member role, the discontinued and legacy tracks, and…
原文の言語: 英語
Use to structure a PNAS main text and hold its length — Title, Significance Statement, Abstract, Introduction, Results, Discussion, in-text Materials and Methods, references — and to choose the required Classification (Biological/Physical/Social Sciences +…
原文の言語: 英語