搜索

PythonReactSEOPDF
OpenClaw

lobster-dev

Develop, extend, and contribute to Lobster AI — the multi-agent bioinformatics engine. Use when working on Lobster codebase, creating agents/services, understanding architecture, fixing bugs, adding features, or contributing to the open-source project. Trigger phrases: "add agent", "create service", "extend lobster", "contribute", "understand architecture", "how does X work in lobster", "fix bug", "add feature", "write tests", "lobster development", "agent development", "bioinformatics code"

cewinharhar0 来源安装数☆ 0 仓库 Stars

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install cewinharhar/lobster-bio-dev

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Lobster AI Development Guide

Lobster AI is a multi-agent bioinformatics platform using LangGraph for orchestration. This skill teaches you how to work with, extend, and contribute to the codebase.

Quick Navigation

Task Documentation
Architecture overview references/architecture.md
Creating new agents references/creating-agents.md
Creating new services references/creating-services.md
Code layout & finding files references/code-layout.md
Testing patterns references/testing.md
CLI reference references/cli.md

Critical Rules

  1. ComponentRegistry is truth — Agents discovered via entry points, NOT hardcoded
  2. AGENT_CONFIG at module top — Define before heavy imports for <50ms discovery
  3. Services return 3-tuple — (AnnData, Dict, AnalysisStep) always
  4. Always pass ir — log_tool_usage(..., ir=ir) for reproducibility
  5. No lobster/__init__.py — PEP 420 namespace package

Package Structure

lobster/
├── packages/                    # Agent packages (PEP 420)
│   ├── lobster-transcriptomics/ # transcriptomics_expert, annotation_expert, de_analysis_expert
│   ├── lobster-research/        # research_agent, data_expert_agent
│   ├── lobster-visualization/   # visualization_expert
│   ├── lobster-metadata/        # metadata_assistant
│   ├── lobster-structural-viz/  # protein_structure_visualization_expert
│   ├── lobster-genomics/        # genomics_expert
│   ├── lobster-proteomics/      # proteomics_expert
│   └── lobster-ml/              # machine_learning_expert
└── lobster/                     # Core SDK
    ├── agents/supervisor.py     # Supervisor (stays in core)
    ├── agents/graph.py          # LangGraph builder
    ├── core/                    # Infrastructur...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/cewinharhar/lobster-bio-dev
Version
—
Commit
2f0d31be05a786cc9a2f529bd988c2b973bddd52
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

来源内容

SKILL.md
# Lobster AI Development Guide

**Lobster AI** is a multi-agent bioinformatics platform using LangGraph for orchestration.
This skill teaches you how to work with, extend, and contribute to the codebase.

## Quick Navigation

| Task | Documentation |
|------|---------------|
| **Architecture overview** | [references/architecture.md](references/architecture.md) |
| **Creating new agents** | [references/creating-agents.md](references/creating-agents.md) |
| **Creating new services** | [references/creating-services.md](references/creating-services.md) |
| **Code layout & finding files** | [references/code-layout.md](references/code-layout.md) |
| **Testing patterns** | [references/testing.md](references/testing.md) |
| **CLI reference** | [references/cli.md](references/cli.md) |

## Critical Rules

1. **ComponentRegistry is truth** — Agents discovered via entry points, NOT hardcoded
2. **AGENT_CONFIG at module top** — Define before heavy imports for <50ms discovery
3. **Services return 3-tuple** — `(AnnData, Dict, AnalysisStep)` always
4. **Always pass `ir`** — `log_tool_usage(..., ir=ir)` for reproducibility
5. **No `lobster/__init__.py`** — PEP 420 namespace package

## Package Structure

```
lobster/
├── packages/                    # Agent packages (PEP 420)
│   ├── lobster-transcriptomics/ # transcriptomics_expert, annotation_expert, de_analysis_expert
│   ├── lobster-research/        # research_agent, data_expert_agent
│   ├── lobster-visualization/   # visualization_expert
│   ├── lobster-metadata/        # metadata_assistant
│   ├── lobster-structural-viz/  # protein_structure_visualization_expert
│   ├── lobster-genomics/        # genomics_expert
│   ├── lobster-proteomics/      # proteomics_expert
│   └── lobster-ml/              # machine_learning_expert
└── lobster/                     # Core SDK
    ├── agents/supervisor.py     # Supervisor (stays in core)
    ├── agents/graph.py          # LangGraph builder
    ├── core/                    # Infrastructur...

相关技能

OpenClaw

x402hub

capncoconut

Register, communicate, and earn on the x402hub AI agent marketplace. Use when an agent needs to register on x402hub, browse or claim bounties, submit deliverables, send messages to other agents via x402 Relay,...

OpenClaw

claw

capevace

Real-time event bus for AI agents. Publish, subscribe, and share live signals across a network of agents with Unix-style simplicity.

OpenClaw

captchas-openclaw

captchasco

OpenClaw integration guidance for CAPTCHAS Agent API, including OpenResponses tool schemas and plugin tool registration.