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帮助用户反馈 Claude 与 MCP 集成中的问题与异常情况。
复制安装指令，让 AI 自动完成配置 · 推荐新手
"claude-ai-mcp" 暂无可直接复制的安装信息，请查看页面文档或源码仓库。
我在将 Claude 连接到 MCP 服务时遇到报错，请帮我整理一份问题报告，包含复现步骤、错误信息、预期结果和实际结果。
一份结构清晰的问题报告，可直接用于提交集成故障。
请根据以下现象，整理成适合提交给 Claude MCP 集成团队的复现说明：首次连接成功，第二次请求超时，并返回会话失效。
规范的复现步骤与现象说明，便于技术团队定位问题。
请帮我生成一份 MCP 集成问题提交模板，重点包含运行环境、版本信息、日志摘要和影响范围。
一份用于报告问题的标准模板，方便完整收集关键信息。
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full ASM JSON, flattened CSV for easy import, and exportable Python code for data engineers. Common triggers include converting instrument files, standardizing lab data, preparing data for upload to LIMS/ELN systems, or generating parser code for production pipelines.
Draft a professional customer-facing response tailored to the situation and relationship. Use when answering a product question, responding to an escalation or outage, delivering bad news like a delay or won't-fix, declining a feature request, or replying to a billing issue.
Run nf-core bioinformatics pipelines (rnaseq, sarek, atacseq) on sequencing data. Use when analyzing RNA-seq, WGS/WES, or ATAC-seq data—either local FASTQs or public datasets from GEO/SRA. Triggers on nf-core, Nextflow, FASTQ analysis, variant calling, gene expression, differential expression, GEO reanalysis, GSE/GSM/SRR accessions, or samplesheet creation.
This skill should be used when scientists need help with research problem selection, project ideation, troubleshooting stuck projects, or strategic scientific decisions. Use this skill when users ask to pitch a new research idea, work through a project problem, evaluate project risks, plan research strategy, navigate decision trees, or get help choosing what scientific problem to work on. Typical requests include "I have an idea for a project", "I'm stuck on my research", "help me evaluate this project", "what should I work on", or "I need strategic advice about my research".
Deep learning for single-cell analysis using scvi-tools. This skill should be used when users need (1) data integration and batch correction with scVI/scANVI, (2) ATAC-seq analysis with PeakVI, (3) CITE-seq multi-modal analysis with totalVI, (4) multiome RNA+ATAC analysis with MultiVI, (5) spatial transcriptomics deconvolution with DestVI, (6) label transfer and reference mapping with scANVI/scArches, (7) RNA velocity with veloVI, or (8) any deep learning-based single-cell method. Triggers include mentions of scVI, scANVI, totalVI, PeakVI, MultiVI, DestVI, veloVI, sysVI, scArches, variational autoencoder, VAE, batch correction, data integration, multi-modal, CITE-seq, multiome, reference mapping, latent space.
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.
帮助开发者在 Claude Code 中检索与找回历史对话记录。
将 Claude Code CLI 封装为 MCP 工具，便于在客户端发起无头代码会话与自动开发任务。
帮助用户通过 MCP 动态重塑微型店铺的品牌、内容与视觉风格。
让 Claude Desktop 通过 MCP 检索自建知识库并生成答案。
帮助用户在 Claude App 中管理 MCP 服务器并进行包发现与安装
将多个 AI 编码代理组织成协作团队，并行开发、审计安全与共享项目记忆。