Domen Jemec

BioSkills

专业领域v3.0.0
作者:Domen Jemec更新于 2026-05-11共 3 个版本 · 最新版本发布于 2026-02-14bioskills@clawhub_djemec/bioskills
科研学术

据 AlphaMoat 统计,截至 2026-09,BioSkills 累计下载 3,467 次、获 9 个星标,在全部 5,078 个 AI 技能中排名第 3,196 位,在「专业领域」分类(465 个)中排名第 262 位。

累计安装
188
累计下载
3,467
星标
9
全站排名
#3,196
全站前 63% · 「专业领域」前 57%
平台累计安装累计下载星标评论
ClawHub ↗662,4564-
SkillHub ↗1883,4679—

各平台的计数口径不同,统计时间不一致。

这个技能是做什么的

这是安装器而非独立分析流程。来源面向具有 Git 及 Python 或 R 的 macOS/Linux,附带脚本下载 RNA 分析、单细胞、宏基因组等技能;后续分析由各技能提供指导,另有自身依赖。安装会持久添加能力并运行仓库二级脚本,先信任所选上游版本并审查 install-openclaw.sh,优先按类别选装。卸载会移除匹配 bio-* 目录,应保护需要保留的本地技能。

资料发布于 2026-10-27

可以用来做什么

  • 准备限定范围生物信息学技能安装

什么时候用

  • 需要准备限定范围生物信息学技能安装时。

示例提示词

以下是根据技能文档生成的示例,不代表实际运行结果。

审查安装器和所选上游版本,制定仅安装单细胞类别的计划供我批准。

月度数据趋势

累计下载3,467
9452,3003,6542026-03 · 累计下载 1,1322026-05 · 累计下载 1,6952026-06 · 累计下载 1,8602026-07 · 累计下载 2,2222026-08 · 累计下载 2,6092026-09 · 累计下载 3,46726-0326-09
星标9
4792026-03 · 星标 42026-05 · 星标 62026-06 · 星标 72026-07 · 星标 72026-08 · 星标 82026-09 · 星标 926-0326-09

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
2026-093,467—9
2026-082,609+17.4%8
2026-072,222+19.5%7
2026-061,860+9.7%7
2026-051,695—6
2026-031,132—4

SKILL.md 原文

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。

4.3 KB · ClawHub v3.0.0
---
name: bioskills
description: "Installs 425 bioinformatics skills covering sequence analysis, RNA-seq, single-cell, variant calling, metagenomics, structural biology, and 56 more categories. Use when setting up bioinformatics capabilities or when a bioinformatics task requires specialized skills not yet installed."
metadata: {"openclaw":{"requires":{"bins":["git"],"anyBins":["python3","Rscript"]},"os":["darwin","linux"],"emoji":"🧬"}}
---

# bioSkills Installer

Meta-skill that installs the full bioSkills collection (425 skills across 62 categories) for bioinformatics analysis.
展开全部(共 81 行)
## Installation

Run the bundled install script to download and install all bioSkills:

```bash
bash scripts/install-bioskills.sh
```

Or install only specific categories:

```bash
bash scripts/install-bioskills.sh --categories "single-cell,variant-calling,differential-expression"
```

## What Gets Installed

| Category Group | Categories | Skills |
|----------------|-----------|--------|
| Sequence & Alignment | sequence-io, sequence-manipulation, alignment, alignment-files, database-access | 40 |
| Read Processing | read-qc, read-alignment | 11 |
| RNA-seq & Expression | differential-expression, rna-quantification, expression-matrix | 14 |
| Single-Cell & Spatial | single-cell, spatial-transcriptomics | 25 |
| Variant Analysis | variant-calling, copy-number, phasing-imputation | 21 |
| Epigenomics | chip-seq, atac-seq, methylation-analysis, hi-c-analysis | 25 |
| Metagenomics & Microbiome | metagenomics, microbiome | 13 |
| Genomics & Assembly | genome-assembly, genome-annotation, genome-intervals, genome-engineering, primer-design | 29 |
| Regulatory & Causal | gene-regulatory-networks, causal-genomics, rna-structure | 13 |
| Temporal & Ecological | temporal-genomics, ecological-genomics | 11 |
| Immunology & Clinical | immunoinformatics, clinical-databases, tcr-bcr-analysis, epidemiological-genomics | 25 |
| Specialized Omics | proteomics, metabolomics, alternative-splicing, chemoinformatics, liquid-biopsy | 36 |
| RNA Biology | small-rna-seq, epitranscriptomics, clip-seq, ribo-seq | 20 |
| Phylogenetics & Evolution | phylogenetics, population-genetics, comparative-genomics | 16 |
| Structural & Systems | structural-biology, systems-biology | 11 |
| Screens & Cytometry | crispr-screens, flow-cytometry, imaging-mass-cytometry | 22 |
| Pathway & Integration | pathway-analysis, multi-omics-integration, restriction-analysis | 14 |
| Infrastructure | data-visualization, machine-learning, workflow-management, reporting, experimental-design, long-read-sequencing | 39 |
| Workflows | End-to-end pipelines (FASTQ to results) | 40 |

## After Installation

Once installed, skills are automatically triggered based on the task at hand. Example requests:

- "I have RNA-seq counts from treated vs control samples - find the differentially expressed genes"
- "Call variants from this whole genome sequencing BAM file"
- "Cluster my single-cell RNA-seq data and find marker genes"
- "Predict the structure of this protein sequence"
- "Run a metagenomics classification on these shotgun reads"

## Source

GitHub: https://github.com/GPTomics/bioSkills

## Related Skills

After installation, 425 individual skills become available across these categories:
sequence-io, sequence-manipulation, database-access, alignment, alignment-files,
variant-calling, phylogenetics, differential-expression, structural-biology,
single-cell, pathway-analysis, restriction-analysis, methylation-analysis,
chip-seq, metagenomics, long-read-sequencing, read-qc, read-alignment,
rna-quantification, genome-assembly, genome-intervals, data-visualization,
expression-matrix, copy-number, proteomics, flow-cytometry, population-genetics,
multi-omics-integration, spatial-transcriptomics, machine-learning,
workflow-management, microbiome, metabolomics, phasing-imputation,
primer-design, hi-c-analysis, imaging-mass-cytometry, atac-seq,
crispr-screens, reporting, experimental-design, clinical-databases,
tcr-bcr-analysis, small-rna-seq, epitranscriptomics, clip-seq, ribo-seq,
genome-engineering, systems-biology, epidemiological-genomics,
immunoinformatics, comparative-genomics, alternative-splicing,
chemoinformatics, liquid-biopsy, genome-annotation, gene-regulatory-networks,
causal-genomics, rna-structure, temporal-genomics, ecological-genomics, workflows

「专业领域」分类下的热门技能

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。