据 AlphaMoat 统计,截至 2026-09,LobsterBio - Use 累计下载 2,455 次、获 0 个星标,在全部 5,078 个 AI 技能中排名第 4,138 位,在「专业领域」分类(465 个)中排名第 351 位。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 71 | 2,446 | - | - |
| SkillHub ↗ | 177 | 2,455 | - | — |
各平台的计数口径不同,统计时间不一致。
使用 Lobster AI 分析生物数据 — 单细胞 RNA-seq、bulk RNA-seq、文献挖掘、数据集发现、质量控制和可视化。
使用此技能的时机:
- 分析单细胞或 bulk RNA-seq 数据
- 在 PubMed/GEO 搜索论文或数据集
- 对生物数据进行质量控制
- 细胞聚类、寻找标记物、差异表达
- 创建出版级可视化图表
- 处理 H5AD、CSV、10X、GEO/SRA 访问号
触发短语:"analyze cells"、"search PubMed"、"download GEO"、"run QC"、"cluster"、"find markers"、"differential expression"、"UMAP"、"volcano plot"、"single-cell"、"RNA-seq"、"bioinformatics"
前提:已安装并配置好 Lobster。如遇配置问题,请运行 lobster config-test 并修复错误后再继续。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-09 | 2,455 | — | - |
| 2026-08 | 2,327 | +8.9% | - |
| 2026-07 | 2,136 | +13.2% | - |
| 2026-06 | 1,887 | +9.5% | - |
| 2026-05 | 1,723 | — | - |
| 2026-03 | 1,211 | — | - |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。
--- name: lobster-use description: | Analyze biological data using Lobster AI — single-cell RNA-seq, bulk RNA-seq, literature mining, dataset discovery, quality control, and visualization. USE THIS SKILL WHEN: - Analyzing single-cell or bulk RNA-seq data - Searching PubMed/GEO for papers or datasets - Running quality control on biological data
- Clustering cells, finding markers, differential expression - Creating publication-quality visualizations - Working with H5AD, CSV, 10X, GEO/SRA accessions TRIGGER PHRASES: "analyze cells", "search PubMed", "download GEO", "run QC", "cluster", "find markers", "differential expression", "UMAP", "volcano plot", "single-cell", "RNA-seq", "bioinformatics" ASSUMES: Lobster is installed and configured. For setup issues, tell user to run `lobster config-test` and fix any errors before proceeding. --- # Lobster AI Usage Guide Lobster AI is a multi-agent bioinformatics platform. You interact via natural language or slash commands — Lobster routes to specialist agents automatically. ## Installation If Lobster is not installed, guide the user to the right command for their platform: ### macOS / Linux ```bash curl -fsSL https://install.lobsterbio.com | bash ``` ### Windows (PowerShell) ```powershell irm https://install.lobsterbio.com/windows | iex ``` ### Manual install (any platform) ```bash uv tool install 'lobster-ai[full,anthropic]' && lobster init # or: pip install 'lobster-ai[full]' && lobster init ``` After install, `lobster init` configures API keys and selects agent packages. ### Upgrading - uv tool: `uv tool upgrade lobster-ai` - pip: `pip install --upgrade lobster-ai` ### Adding Agents (uv tool installs) Users with uv tool installs add agents via: `uv tool install lobster-ai --with lobster-transcriptomics --with lobster-proteomics` Running `lobster init` will guide this process and generate the command. ## Quick Reference | Task | Reference | |------|-----------| | **CLI commands** | [references/cli-commands.md](references/cli-commands.md) | | **Single-cell analysis** | [references/single-cell-workflow.md](references/single-cell-workflow.md) | | **Bulk RNA-seq analysis** | [references/bulk-rnaseq-workflow.md](references/bulk-rnaseq-workflow.md) | | **Literature & datasets** | [references/research-workflow.md](references/research-workflow.md) | | **Visualization** | [references/visualization.md](references/visualization.md) | | **Available agents** | [references/agents.md](references/agents.md) | ## Interaction Modes ### Interactive Chat ```bash lobster chat # Start interactive session lobster chat --workspace ./myproject # Custom workspace lobster chat --reasoning # Enable detailed reasoning ``` ### Single Query ```bash lobster query "Your request" lobster query --session-id latest "Follow-up request" ``` ## Core Patterns ### Natural Language (Primary) Just describe what you want: ``` "Download GSE109564 and run quality control" "Cluster the cells and find marker genes" "Compare hepatocytes vs stellate cells" ``` ### Slash Commands (System Operations) ``` /data # Show loaded data info /files # List workspace files /workspace list # List available datasets /workspace load 1 # Load dataset by index /plots # Show generated visualizations /save # Save current session /status # Show system status /help # All commands ``` ### Session Continuity ```bash # Start named session lobster query --session-id "my_analysis" "Load GSE109564" # Continue with context lobster query --session-id latest "Now cluster the cells" lobster query --session-id latest "Find markers for cluster 3" ``` ## Agent System Lobster routes to specialist agents automatically: | Agent | Handles | |-------|---------| | **Supervisor** | Routes queries, coordinates agents | | **Research Agent** | PubMed search, GEO discovery, paper extraction | | **Data Expert** | File loading, format conversion, downloads | | **Transcriptomics Expert** | scRNA-seq: QC, clustering, markers | | **DE Analysis Expert** | Differential expression, statistical testing | | **Annotation Expert** | Cell type annotation, gene set enrichment | | **Visualization Expert** | UMAP, heatmaps, volcano plots | | **Proteomics Expert** | Mass spec analysis [alpha] | | **Genomics Expert** | VCF, GWAS, variant analysis [alpha] | | **ML Expert** | Embeddings, classification [alpha] | ## Workspace & Outputs **Default workspace**: `.lobster_workspace/` **Output files**: | Extension | Content | |-----------|---------| | `.h5ad` | Processed AnnData objects | | `.html` | Interactive visualizations | | `.png` | Publication-ready plots | | `.csv` | Exported tables | | `.json` | Metadata, provenance | **Managing outputs**: ``` /files # List all outputs /plots # View visualizations /open results.html # Open in browser /read summary.csv # Preview file contents ``` ## Typical Workflow ```bash # 1. Start session lobster chat --workspace ./my_analysis # 2. Load or download data "Download GSE109564 from GEO" # or /workspace load my_data.h5ad # 3. Quality control "Run quality control and show me the metrics" # 4. Analysis "Filter low-quality cells, normalize, and cluster" # 5. Interpretation "Identify cell types and find marker genes" # 6. Visualization "Create UMAP colored by cell type" /plots # 7. Export "Export marker genes to CSV" /save ``` ## Troubleshooting Quick Reference | Issue | Check | |-------|-------| | Lobster not responding | `lobster config-test` | | No data loaded | `/data` to verify, `/workspace list` to see available | | Analysis fails | Try with `--reasoning` flag | | Missing outputs | Check `/files` and workspace directory | ## Documentation Online docs: **docs.omics-os.com** Key sections: - Guides → CLI Commands - Guides → Data Analysis Workflows - Tutorials → Single-Cell RNA-seq - Agents → Package documentation
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数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。