$ loading_
Get oriented with your bio-research setup, connected tools, and analysis skills.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "start" skill from askskill: 1. Download https://raw.githubusercontent.com/anthropics/knowledge-work-plugins/main/bio-research/skills/start/SKILL.md 2. Save it as ~/.claude/skills/start/SKILL.md 3. Reload skills and tell me it's ready
Please initialize the current bio-research environment and list the connected MCP tools and services. Organize them into literature search, drug discovery, and visualization, and briefly explain what each one does.
An overview of the current environment with a categorized list of connected tools and a short description of each tool’s purpose.
I’m about to start a new bio-research project. First, tell me what analysis skills are currently available in this plugin, which workflows are supported, and the typical scenarios they fit.
A list of available skills and workflows, along with recommendations on when to use each capability.
Please check whether my research plugin is ready to use, including initialization status, accessible data or literature tools, and the recommended first step.
A readiness report showing available resources and the recommended next action.
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.
Create stakeholder updates tailored to audience, cadence, and communication goals.
Review an analysis for methodology, accuracy, bias, and evidence support.
Generate people analytics reports on headcount, attrition, diversity, and org health.
Identify, categorize, and prioritize technical debt for smarter refactoring decisions.
Choose the right Zoom surface for a product use case with clear tradeoffs.
Turn an approved brief into social assets, copy, and a staged campaign.
Build bioengineering automation MCP tools that AI assistants can call easily.
Connect AI to life science databases and tools for bioinformatics workflows.
Search, filter, and analyze academic literature across multiple research databases.
Read, write, and summarize local research notes more efficiently.
Query biomedical and pharma APIs for trials, drugs, molecules, and literature.
Access research workflows, retrieval tools, and knowledge resources for faster analysis.