Domen Jemec

BioSkills

專業領域v3.0.0
作者:Domen Jemec更新於 2026-05-11共 3 個版本 · 最新版本釋出於 2026-02-14bioskills@clawhub_djemec/bioskills
科研學術

據 AlphaMoat 統計,截至 2026-09,BioSkills 累計下載 3,467 次、獲 9 個星標,在全部 5,078 個 AI 技能中排名第 3,196 位,在「專業領域」分類(465 個)中排名第 262 位。

累計安裝
188
累計下載
3467
星標
9
全站排名
#3,196
全站前 63% · 「專業領域」前 57%
平台累計安裝累計下載星標評論
ClawHub ↗6624564-
SkillHub ↗18834679—

各平台的計數口徑不同,統計時間不一致。

這個技能是做什麼的

這是安裝器而非獨立分析流程。來源面向具有 Git 及 Python 或 R 的 macOS/Linux,附帶腳本下載 RNA 分析、單細胞、總體基因體等技能;後續分析由各技能提供指引,另有自身相依需求。安裝會永久加入能力並執行儲存庫次級腳本,先信任所選上游版本並審查 install-openclaw.sh,優先按類別選裝。解除安裝會移除符合 bio-* 的目錄,應保護需要保留的本機技能。

資料釋出於 2026-10-27

可以用來做什麼

  • 準備限定範圍生物資訊學技能安裝

什麼時候用

  • 需要準備限定範圍生物資訊學技能安裝時。

示例提示詞

以下是根據技能文件生成的示例,不代表實際執行結果。

審查安裝器和所選上游版本,擬定僅安裝單細胞類別的計畫供我批准。

月度資料趨勢

累計下載3467
945230036542026-03 · 累計下載 11322026-05 · 累計下載 16952026-06 · 累計下載 18602026-07 · 累計下載 22222026-08 · 累計下載 26092026-09 · 累計下載 346726-0326-09
星標9
4792026-03 · 星標 42026-05 · 星標 62026-06 · 星標 72026-07 · 星標 72026-08 · 星標 82026-09 · 星標 926-0326-09

2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。

月份累計下載環比星標
2026-093467—9
2026-082609+17.4%8
2026-072222+19.5%7
2026-061860+9.7%7
2026-051695—6
2026-031132—4

SKILL.md 原文

以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 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.
展開全部(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

「專業領域」分類下的熱門技能

資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。