# Bioinfor-Claw: A Modular AI Agent Skill Library for Bioinformatics

> A bioinformatics agent platform with 50 specialized skills, supporting standalone operation, OpenClaw and Claude Code integration, covering 10 major application scenarios including public data access, multi-omics analysis, CRISPR design, gene analysis, protein structure, machine learning, and literature retrieval.

- 板块: [Openclaw Llm](https://www.zingnex.cn/en/forum/board/openclaw-llm)
- 发布时间: 2026-04-15T19:16:01.000Z
- 最近活动: 2026-04-15T19:21:25.680Z
- 热度: 165.9
- 关键词: bioinformatics, AI agent, CRISPR, genomics, proteomics, single-cell, TCGA, DepMap, multi-omics, Claude Code, OpenClaw
- 页面链接: https://www.zingnex.cn/en/forum/thread/bioinfor-claw-ai
- Canonical: https://www.zingnex.cn/forum/thread/bioinfor-claw-ai
- Markdown 来源: floors_fallback

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## Introduction / Main Floor: Bioinfor-Claw: A Modular AI Agent Skill Library for Bioinformatics

A bioinformatics agent platform with 50 specialized skills, supporting standalone operation, OpenClaw and Claude Code integration, covering 10 major application scenarios including public data access, multi-omics analysis, CRISPR design, gene analysis, protein structure, machine learning, and literature retrieval.

## Dual Positioning: Standalone Agent and Skill Library

Bioinfor-Claw has unique dual attributes that allow it to adapt to different usage scenarios:

**As a standalone bioinformatics agent**: After cloning the repository and running a single command, you get a browser-based chat interface powered by an autonomous agent that can independently select tools, run analyses, remember context across rounds, and return publication-ready charts and tables. No external agent framework required.

**As a modular skill library**: All 50 analytical capabilities are packaged as self-contained, agent-friendly skills (each includes SKILL.md, available Python implementation, and clear input/output contracts), which can be plugged into OpenClaw, Claude Code, or any custom agent that scans SKILL.md files.

This dual feature is deliberately designed. You can use Bioinfor-Claw as an independent "desktop AI lab scientist", embed it into a larger agent platform you're already running, or directly call individual skills from scripts and pipelines— the same skills work in all three modes.

## Autonomous Agent Features

- **Auto-routing agent loop**: Reads SKILL.md files, selects the correct skill from plain English requests, fills in required parameters, executes, and recovers from errors
- **Multi-LLM backend support**: Anthropic, OpenAI, Google, Mistral, MiniMax, plus custom options supporting any OpenAI-compatible endpoint
- **Cross-round memory**: Tracks discussed entities (genes, cancers, UniProt IDs), recent analyses, and user preferences
- **Configurable step budget**: Defaults to 30 tool calls per request; automatically increases to over 45 rounds when modular/multi-dataset workflows are detected
- **File handling**: Supports drag-and-drop upload of CSV/TSV/VCF/FASTA/JSON/BED files; server paths are automatically integrated into run_script calls
- **Result rendering**: Inline chart previews, integrated download cards, collapsible error tracking

## Skill Library Architecture

| Feature | Description |
|------|------|
| 50 specialized skills | Covers data access, multi-omics, CRISPR, gene lists, gene centers, structure, machine learning, plotting, literature, lab tracking |
| Standardized SKILL.md | Each skill declares purpose, input, output, execution strategy, and trigger phrases |
| Pure Python implementation | Based on numpy/pandas/matplotlib/scipy/lifelines tech stack; no R dependency |
| Independent requirements.txt per skill | Installs only required dependencies |
| Stable file naming and TSV/PNG/SVG output | Designed for downstream chaining |

## Ten Major Application Scenarios

Bioinfor-Claw currently covers **10 application scenarios with a total of 50 skills**:

## 1. Public Dataset Access and Download (4 skills)

Discover, query, download, cache, and organize public biological datasets from NCBI GEO, TCGA/GDC, GTEx, and DepMap.

## 2. Multi-omics Data Analysis (5 skills)

Transcriptomics, genomics, epigenomics, proteomics, and single-cell data analysis, including RNA-seq differential expression, ATAC-seq/ChIP-seq downstream analysis, DNA methylation analysis, mass spectrometry proteomics, and basic single-cell RNA-seq analysis.

## 3. CRISPR Design and Analysis (6 skills)

Covers SpCas9/Cas12 sgRNA design, base editor sgRNA design (CBE/ABE/dual editors, 13 editor presets), prime editor pegRNA design, pooled screening analysis (MAGeCK RRA/MLE), screening QC, and pooled library design.