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作者 anthropicsae1513ea94dc無授權條款27K 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫今天更新

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.

精選僅含說明AI & Agents
AI 產生的概覽

協助生物研究人員熟悉生物研究外掛，檢查已連線的 MCP 伺服器並列出可用的分析技能。

功能
引導研究人員完成入門流程：顯示歡迎訊息，透過列出可用工具來偵測哪些 MCP 伺服器已連線，並將其分為文獻與資料來源、藥物開發與臨床、視覺化與 AI 三類。接著以表格概覽外掛中的分析技能，並指出兩個可選的二元 MCP 伺服器安裝項目。最後詢問研究人員目前的工作內容，並建議文獻回顧、定序資料分析、藥物開發、資料標準化或研究策略等起點。
適用情境
適用於初次熟悉生物研究外掛時、需要檢查哪些文獻、藥物開發或視覺化 MCP 伺服器已連線時，或在開始新專案前瀏覽可用分析技能時。
執行需求
僅為說明性指示，不附帶指令碼。依賴代理列出可用 MCP 工具的能力，以及外掛已連線的 MCP 伺服器。兩個可選的 MCP 伺服器需要從外部發佈頁面下載二元檔案。

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.

來源與署名

來源：anthropics/knowledge-work-plugins位於bio-research/skills/start提交ae1513e

授權條款： 無授權條款

內容歸原作者所有。SourceWeft 從公開儲存庫中收錄這些內容。

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