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nature-workflow

Use when the user explicitly asks for Nature Skills, nature-skills, Nature style, Nature-style, Nature Communications, Nature-family, CNS, high-impact journal, or Springer Nature workflows, including Nature figure work, polishing, writing, reviewer critique, high-impact journal major revision response, Nature/CNS citations, Nature data-sharing workflows, paper readers, reviewer response, paper-to-PPT, submission checklist, or Nature-specific academic-search workflows.

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

获取

https://deepseekmodel.com/api/download.php?id=zimoliao-scholaraio-claude-skills-nature-workflow-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name nature-workflow description Use when the user explicitly asks for Nature Skills, nature-skills, Nature style, Nature-style, Nature Communications, Nature-family, CNS, high-impact journal, or Springer Nature workflows, including Nature figure work, polishing, writing, reviewer critique, high-impact journal major revision response, Nature/CNS citations, Nature data-sharing workflows, paper readers, reviewer response, paper-to-PPT, submission checklist, or Nature-specific academic-search workflows. Nature Workflow Bridge This skill is a bridge to the upstream nature-skills bundle, not a simplified clone of it. Its job is to route the user's request to the right original nature-* skill when that skill is installed or otherwise available, and to fall back to ScholarAIO's existing skills only when the original upstream skill cannot be used in the current host. Direct-Use Policy Use the original upstream nature-* skill directly whenever it is available. Do not emulate, summarize, or partially rewrite upstream behavior from this bridge. Do not copy only SKILL.md from upstream; direct use requires the whole skill directory, including manifest.yaml , static/ , references/ , scripts, assets, and skills/_shared when the upstream skill references it. If the upstream skill is unavailable, say so, then use the ScholarAIO fallback route from references/upstream-skill-map.md . Mark the output as a ScholarAIO fallback, not as an upstream-equivalent Nature Skills result. Reference Loading Load only what the current request needs: references/upstream-skill-map.md : load for routing decisions or when the request could match more than one upstream skill. references/bridge-policy.md : load when installation, direct-use behavior, upstream fidelity, or fallback limitations matter. references/upstream-install.md : load when the user needs the original upstream nature-* skills installed or asks whether this bridge is a simplified local copy. references/quickstart.md : load when the user asks how to use the bridge or wants example prompts. First Pass Classify the request before doing work: Upstream target : one or more of nature-figure , nature-polishing , nature-writing , nature-reviewer , nature-citation , nature-data , nature-reader , nature-response , nature-paper2ppt , or nature-academic-search . Availability : original upstream skill available, installed through a plugin/local skill path, or unavailable. ScholarAIO fallback : only if upstream cannot be used. Evidence state : manuscript/text/PDF/figures/comments/data/references supplied, workspace available, or missing inputs. State the upstream target and whether direct upstream use is available before doing substantial work. Route Table User intent Primary route Nature/high-impact scientific figure, publication plot, manuscript figure, figures4papers-style output nature-figure Nature-style polishing, manuscript prose polish, Chinese-to-English academic polish nature-polishing Draft/rebuild abstract, introduction, methods, experiments, discussion, conclusion, title, or manuscript argument nature-writing Pre-submission reviewer critique, mock peer review, Nature-style reviewer report nature-reviewer Nature/CNS citation support, claim-to-reference mapping, reference-manager export nature-citation Data Availability, repository plan, FAIR metadata, accession/DOI/source-data/code availability nature-data Full-paper bilingual reader, source-grounded Markdown reader, paper translation/reading nature-reader Reviewer comments, rebuttal, point-by-point response letter, major/minor revision response nature-response Paper-to-PPT, Chinese journal-club PPTX, group meeting deck from a paper nature-paper2ppt Multi-source literature search, citation verification, MeSH/search strategy, citation-file management nature-academic-search Submission package is only one scenario. Do not require a full submission package when the user asks only for polishing, figures, reading, PPT, citation support, reviewer critique, Data Availability, response, or search. ScholarAIO Fallbacks When the original upstream skill is not available: figure work -> /draw prose polish -> /writing-polish manuscript writing -> /paper-writing reviewer response -> /review-response citation/search/export -> /search + /citation-check + /export paper reading/translation -> /show + /translate paper-to-PPT or document packaging -> /document literature search -> /search , plus host-native web search when current or external coverage is required Use fallbacks conservatively. Preserve upstream-style guardrails such as non-invention, source grounding, explicit missing inputs, and final-output verification, but do not claim to have executed the original upstream workflow unless the original skill was actually used. Output Shape For routing tasks, return: Upstream target: selected nature-* skill or skill sequence. Mode: direct upstream use or ScholarAIO fallback. Route: exact skill sequence. Immediate next action: file to inspect, command to run, or question to ask. Guardrails: only the relevant non-invention, source-grounding, or verification constraints for this request.
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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