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 source installs☆ 0 Repository stars

View source ↗Installation SKILL.md ↗

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install cewinharhar/lobster-bio-dev

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

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

ComponentRegistry is truth — Agents discovered via entry points, NOT hardcoded
AGENT_CONFIG at module top — Define before heavy imports for <50ms discovery
Services return 3-tuple — (AnnData, Dict, AnalysisStep) always
Always pass ir — log_tool_usage(..., ir=ir) for reproducibility
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...

Source information

Source: github
Repository: openclaw/skills
Path: skills/cewinharhar/lobster-bio-dev
Version: —
Commit: 2f0d31be05a786cc9a2f529bd988c2b973bddd52
Classification source: rules
Status: active
Visibility: public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

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...

Related skills

OpenClaw

Task Router Skill

capt-marbles

Task Router

☆ 0View skill

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,...

☆ 0View skill

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.

☆ 0View skill

OpenClaw

captchas-openclaw

captchasco

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

☆ 0View skill