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SkillsMP は ResearAI/DeepScientist から 22 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。
収集済み skill 22 件中 22 件を表示しています。
Use for natural-science or engineering tasks, scientific software routing, simulation, dataset analysis, model fitting, package checks, HPC-through-shell work, validation, and evidence-backed scientific claims using DeepScientist's `artifact.science(...)`…
原文の言語: 英語
Prepare, audit, or revise Nature-ready Data Availability statements, data repository plans, dataset citations, and FAIR metadata checklists for manuscripts. Use when the user asks about Nature data availability, research data sharing, repository selection,…
原文の言語: 英語
Submission-grade Nature/high-impact journal figure workflow for Python or R. Use whenever the user asks to create, revise, audit, or polish manuscript figures, multi-panel scientific plots, or journal-ready SVG/PDF/TIFF outputs, especially for Nature-family…
原文の言語: 英語
Build a complete but efficient Nature-style Chinese PPTX presentation from a scientific paper, preprint, PDF, article text, abstract, figure legends, or reading notes. Use this skill whenever the user asks to make slides/PPT/PPTX for journal club, group…
原文の言語: 英語
Polish, restructure, or translate academic prose into Nature-leaning English using the paper-architecture and writing-strategy principles from Scientific English Writing & Communication, with phrase-level support from Academic Phrasebank. Use whenever the…
原文の言語: 英語
Use when a quest has enough evidence to draft or refine a paper, report, or research summary without inventing missing support.
原文の言語: 英語
Use when a draft, paper, or paper-like report is substantial enough for an independent skeptical audit before finalization, rebuttal, or revision routing.
原文の言語: 英語
Use when a quest needs concrete hypotheses, limitation analysis, candidate directions, or a selected idea relative to the active baseline.
原文の言語: 英語
Use when the quest needs an explicit go, stop, branch, reuse-baseline, write, finalize, reset, or user-decision transition with reasons and evidence.
原文の言語: 英語
Use when a quest needs one or more follow-up runs such as ablations, robustness checks, error analysis, or failure analysis after a main experiment.
原文の言語: 英語
Use when a quest needs to attach, import, reproduce, repair, verify, compare, or publish a baseline and its metrics.
原文の言語: 英語
Use when a quest is ready for a concrete implementation pass or a main experiment run tied to a selected idea and an accepted baseline.
原文の言語: 英語
Use when an algorithm-first quest should manage candidate briefs, optimization frontier, branch promotion, or fusion-aware search instead of the paper-oriented default loop.
原文の言語: 英語
Use when creating, revising, validating, or repairing a research-paper outline before writing; turns experiment evidence into a clear paper idea, scoped claims, method abstraction, evaluation plan, analysis plan, and evidence boundaries without copying run…
原文の言語: 英語
Use when a quest needs problem framing, literature scouting, dataset or metric clarification, or baseline discovery before deeper work.
原文の言語: 英語
Use when the quest is ready to consolidate final claims, limitations, recommendations, summary state, and graph exports before stopping or archiving.
原文の言語: 英語
Use when a quest does not start from a blank state and the agent must first audit, trust-rank, and reconcile existing baselines, results, drafts, or review materials before choosing the next anchor.
原文の言語: 英語
Use when structured numeric data, arrays, or CSV-like measurements should be turned into a publication-quality figure by adapting a bundled paper-style plotting template instead of improvising a new chart from scratch.
原文の言語: 英語
Install, repair, and validate DeepScientist on Windows with WSL2 until the Windows browser can open the DeepScientist Web UI. Use when an agent needs to set up or fix DeepScientist on a Windows machine, including WSL distro creation, Linux-side Node/Python…
原文の言語: 英語
Use when a quest already has a paper, draft, or review package and the task is to map reviewer feedback into experiments, manuscript deltas, and a durable rebuttal / revision response.
原文の言語: 英語
Use when a quest needs a polished milestone chart, paper-facing figure, appendix figure, or a mandatory render-inspect-revise pass before treating a figure as final.
原文の言語: 英語
Look up any arxiv paper on alphaxiv.org to get a structured AI-generated overview. This is faster and more reliable than trying to read a raw PDF.
原文の言語: 英語