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作者 anthropicsae1513ea94dc无许可证27K 个星标收录于 2026年10月8日更新于 2026年10月8日仓库今天更新

Set up your bio-research environment and explore available tools. Use when first getting oriented with the plugin, checking which literature, drug-discovery, or visualization MCP servers are connected, or surveying available analysis skills before starting a new project.

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AI 生成的概览

帮助生物研究人员熟悉生物研究插件，检查已连接的 MCP 服务器并列出可用的分析技能。

功能
引导研究人员完成入门流程：显示欢迎信息，通过列出可用工具来检测哪些 MCP 服务器已连接，并将其分为文献与数据源、药物发现与临床、可视化与 AI 三类。随后以表格形式概览插件中的分析技能，并指出两个可选的二进制 MCP 服务器安装项。最后询问研究人员当前的工作内容，并建议文献综述、测序数据分析、药物发现、数据标准化或研究策略等起点。
适用场景
适用于初次熟悉生物研究插件时、需要检查哪些文献、药物发现或可视化 MCP 服务器已连接时，或在开始新项目前浏览可用分析技能时。
运行要求
仅为说明性指令，不附带脚本。依赖代理列出可用 MCP 工具的能力以及插件已连接的 MCP 服务器。两个可选的 MCP 服务器需要从外部发布页面下载二进制文件。

Bio-Research Start

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

You are helping a biological researcher get oriented with the bio-research plugin. Walk through the following steps in order.

Step 1: Welcome

Display this welcome message:

Bio-Research Plugin
Your AI-powered research assistant for the life sciences. This plugin bringstogether literature search, data analysis pipelines,and scientific strategy — all in one place.

Step 2: Check Available MCP Servers

Test which MCP servers are connected by listing available tools. Group the results:

Literature & Data Sources:

  • ~~literature database — biomedical literature search
  • ~~literature database — preprint access (biology and medicine)
  • ~~journal access — academic publications
  • ~~data repository — collaborative research data (Sage Bionetworks)

Drug Discovery & Clinical:

  • ~~chemical database — bioactive compound database
  • ~~drug target database — drug target discovery platform
  • ClinicalTrials.gov — clinical trial registry
  • ~~clinical data platform — clinical trial site ranking and platform help

Visualization & AI:

  • ~~scientific illustration — create scientific figures and diagrams
  • ~~AI research platform — AI for biology (histopathology, drug discovery)

Report which servers are connected and which are not yet set up.

Step 3: Survey Available Skills

List the analysis skills available in this plugin:

SkillWhat It Does
Single-Cell RNA QCQuality control for scRNA-seq data with MAD-based filtering
scvi-toolsDeep learning for single-cell omics (scVI, scANVI, totalVI, PeakVI, etc.)
Nextflow PipelinesRun nf-core pipelines (RNA-seq, WGS/WES, ATAC-seq)
Instrument Data ConverterConvert lab instrument output to Allotrope ASM format
Scientific Problem SelectionSystematic framework for choosing research problems

Step 4: Optional Setup — Binary MCP Servers

Mention that two additional MCP servers are available as separate installations:

These require downloading binary files and are optional.

Step 5: Ask How to Help

Ask the researcher what they're working on today. Suggest starting points based on common workflows:

  1. Literature review — "Search ~~literature database for recent papers on [topic]"
  2. Analyze sequencing data — "Run QC on my single-cell data" or "Set up an RNA-seq pipeline"
  3. Drug discovery — "Search ~~chemical database for compounds targeting [protein]" or "Find drug targets for [disease]"
  4. Data standardization — "Convert my instrument data to Allotrope format"
  5. Research strategy — "Help me evaluate a new project idea"

Wait for the user's response and guide them to the appropriate tools and skills.

来源与署名

来源：anthropics/knowledge-work-plugins位于bio-research/skills/start提交ae1513e

许可证： 无许可证

内容归原作者所有。SourceWeft 从公开仓库中收录这些内容。

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