$ loading_
帮助你快速熟悉生物科研插件环境、已连接工具与可用分析能力。
复制安装指令，让 AI 自动完成配置 · 推荐新手
请帮我安装 askskill 上的 "start" 技能： 1. 下载 https://raw.githubusercontent.com/anthropics/knowledge-work-plugins/main/bio-research/skills/start/SKILL.md 2. 保存为 ~/.claude/skills/start/SKILL.md 3. 装好后重载技能，告诉我可以用了
请帮我初始化当前生物科研环境，并列出已连接的 MCP 工具与服务，按文献检索、药物发现、可视化三类整理，并简要说明各自用途。
一份当前环境概览，包含已连接工具分类清单及每个工具的用途说明。
我准备开始一个新的生物研究项目，请先告诉我这个插件当前可用的分析技能、支持的工作流，以及适合的典型使用场景。
一份可用技能与工作流清单，并附上每类能力的适用场景建议。
请检查我当前的科研插件是否已经准备好开始工作：包括环境初始化状态、可访问的数据/文献工具、以及接下来建议的第一步操作。
一份启动准备状态报告，说明当前可用资源与建议的下一步。
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.
围绕客户问题进行多来源调研与溯源，快速整理背景并支持准确回复。
帮助用户跨学术数据库进行文献检索、筛选与研究分析的智能工具