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.
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
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.
Display this welcome message:
Bio-Research Plugin
Your AI-powered research assistant for the life sciences. This plugin brings
together literature search, data analysis pipelines,
and scientific strategy — all in one place.
Test which MCP servers are connected by listing available tools. Group the results:
Literature & Data Sources:
Drug Discovery & Clinical:
Visualization & AI:
Report which servers are connected and which are not yet set up.
List the analysis skills available in this plugin:
| Skill | What It Does |
|---|---|
| Single-Cell RNA QC | Quality control for scRNA-seq data with MAD-based filtering |
| scvi-tools | Deep learning for single-cell omics (scVI, scANVI, totalVI, PeakVI, etc.) |
| Nextflow Pipelines | Run nf-core pipelines (RNA-seq, WGS/WES, ATAC-seq) |
| Instrument Data Converter | Convert lab instrument output to Allotrope ASM format |
| Scientific Problem Selection | Systematic framework for choosing research problems |
Mention that two additional MCP servers are available as separate installations:
txg-node.mcpb from https://github.com/10XGenomics/txg-mcp/releasestooluniverse.mcpb from https://github.com/mims-harvard/ToolUniverse/releasesThese require downloading binary files and are optional.
Ask the researcher what they're working on today. Suggest starting points based on common workflows:
Wait for the user's response and guide them to the appropriate tools and skills.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Run a WCAG 2.1 AA accessibility audit on a design or page. Trigger with "audit accessibility", "check a11y", "is this accessible?", or when reviewing a design for color contrast, keyboard navigation, touch target size, or screen reader behavior before handoff.
日本語の概要は準備中です。原文の説明を表示しています。
360-degree view of an account - CRM data, recent email threads, docs, transcripts, and internal chat chatter, synthesized into one brief. Use when the user asks "tell me about [account]" (an existing customer; for a prospect, account-research), "account context for [name]", "what's going on with [account]", or "catch me up on [account]".
日本語の概要は準備中です。原文の説明を表示しています。
Build or refresh a strategic account plan - current state, goals, stakeholder coverage, opportunity map, risks, and the action plan - written to a doc and key fields synced to the CRM. Use when the user says "build an account plan for [account]", "update the [account] plan", "account planning for [account]", or before a planning cycle / QBR.
日本語の概要は準備中です。原文の説明を表示しています。
Research a company using Common Room data. Triggers on 'research [company]', 'tell me about [domain]', 'pull up signals for [account]', 'what's going on with [company]', or any account-level question.
日本語の概要は準備中です。原文の説明を表示しています。
Research a target company and optionally a specific contact - company overview, recent news, likely priorities, and fit against your ICP. Cross-references existing CRM records. Use when the user asks to "research [company]", "look into [company]", "prospect research on [company]", "look up [person]", "intel on [prospect]", "who is [person] at [company]", or "tell me about [company]" when the company is a prospect rather than an existing account.
日本語の概要は準備中です。原文の説明を表示しています。
Score and tier a list of accounts (or your full book) against ICP fit and engagement signals to prioritize where to spend time. Use when the user asks to "tier my accounts", "prioritize my book", "which accounts should I focus on", or "score these accounts".
日本語の概要は準備中です。原文の説明を表示しています。