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nature-academic-search

Multi-source literature search, citation verification, strict independent other-citation audits, article-level citation metric tables, influential citer profiling with citation-context extraction, MeSH search strategy, citation file management (.nbib/.ris/.bib conversion), and reference management (BibTeX, related articles, ID conversion) via MCP tools (PubMed, CrossRef, arXiv, Scopus, ScienceDirect). Use for coordinated literature workflows beyond one MCP call, including 文献检索、 查文献、找文献、文献综述检索、查论文、引文核对、参考文献管理、文献去重、 严格他引、他引判定、排除自引、谁引用了我的文章、引用我的文章的人有没有大牛、 院士引用、校长引用、院长引用、杰青引用、长江学者引用、Fellow引用、文章引用表、 指定文章引用数、严格他引数、整理成表格.

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

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https://deepseekmodel.com/api/download.php?id=yuan1z0825-nature-skills-skills-nature-academic-search-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-academic-search description Multi-source literature search, citation verification, strict independent other-citation audits, article-level citation metric tables, influential citer profiling with citation-context extraction, MeSH search strategy, citation file management (.nbib/.ris/.bib conversion), and reference management (BibTeX, related articles, ID conversion) via MCP tools (PubMed, CrossRef, arXiv, Scopus, ScienceDirect). Use for coordinated literature workflows beyond one MCP call, including 文献检索、 查文献、找文献、文献综述检索、查论文、引文核对、参考文献管理、文献去重、 严格他引、他引判定、排除自引、谁引用了我的文章、引用我的文章的人有没有大牛、 院士引用、校长引用、院长引用、杰青引用、长江学者引用、Fellow引用、文章引用表、 指定文章引用数、严格他引数、整理成表格. Academic Search — Router This skill is split into two layers: A static layer under static/ that holds versioned, reusable content fragments (the MCP tool inventory and shared modules, and source routing plus operational rules). A dynamic layer (this file plus manifest.yaml ) that detects which workflow the user needs and loads that workflow, reaching for shared modules and scripts only when a step needs them. Do not try to apply the search logic from memory or from this router. Always load fragments from disk as described below. Routing protocol Follow these five steps every time the skill is invoked. 1. Load the manifest and the core layer Read manifest.yaml . It declares the workflow axis, the allowed values, and the file paths each value maps to. Also read every file listed under always_load : static/core/tools.md — the MCP tool inventory (core search, extended search, PubMed utilities) and the shared-module map. static/core/routing-and-ops.md — the T1→T2→T3 source routing quick guide, environment setup, error handling, and limitations. 2. Detect the workflow Map the user's need to one or more workflow values: multi-source-search — find literature across sources. citation-verification — verify citations extracted from a document. mesh-strategy — build a MeSH/PubMed search strategy. citation-file-mgmt — convert/manage .nbib / .ris / .bib files. reference-mgmt — BibTeX, related-article discovery, ID conversion. strict-other-citation-impact-audit — determine strict independent other-citations, build article-level citation metric tables, identify high-profile citers (academy members, presidents/deans, talent-award holders, fellows, field leaders), and extract how they cited the target paper. A combined request (for example search then export) may need more than one. State the detected workflow(s) in one short line before proceeding. 3. Load the matching workflow fragment(s) Read the file mapped for each detected workflow (under references/workflows/ ). Do not read every workflow. Each workflow file links to the shared modules it needs. 4. Run the workflow using the loaded material Apply the loaded material in this order: Core tools and routing ( core/tools.md , core/routing-and-ops.md ) — which MCP tool for which need, and the T1→T2→T3 fallback chain that is the standard execution order across all workflows. The workflow fragment — its specific steps. Shared modules and scripts on demand (dedup, citation parser, search strategy, RIS/BibTeX format, format converter). Report specific tool failures and continue with remaining tools; broaden terms when there are no results; fall back to manual generation from MCP-fetched metadata if a script fails twice. 5. Reach for references only when needed The files under references/ (and scripts/ ) are deep references, not defaults. Open them on demand per the references.on_demand table in the manifest — for example references/source-tiers.md for the full reliability classification, references/dedup-engine.md / references/citation-parser.md / references/search-strategy.md / references/ris-bibtex-format.md for the shared modules, and scripts/academic_search.py (no-MCP fallback discovery search) / scripts/format-converter.py / scripts/preflight.py for the tooling. Why this split The static layer is versioned and reviewable; the workflow files and shared modules were already factored this way. The dynamic layer keeps each invocation cheap: only the workflow the user needs enters context, instead of all six plus every module. The router itself is short on purpose. Update fragments and references, not this file, when adding scope. This structure mirrors the other nature-* skills ( nature-writing , nature-polishing , nature-reader , nature-paper2ppt , nature-figure , nature-citation , nature-response , nature-data ).
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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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