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 installations selon la source☆ 0 Étoiles du dépôt

Voir la source ↗Installation SKILL.md ↗

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install cewinharhar/lobster-bio-dev

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

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...

Informations sur la source

Source: github
Repository: openclaw/skills
Path: skills/cewinharhar/lobster-bio-dev
Version: —
Commit: 2f0d31be05a786cc9a2f529bd988c2b973bddd52
Source de classification: rules
Statut: active
Visibilité: public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

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...

Skills associés

OpenClaw

10-of-my-most-popular-text-to-image-series-prompts-78b0897e

hhhh124hhhh

generate a bunch of images, then you curate the results to handpick the best ones

☆ 0Voir le skill

OpenClaw

10-of-my-most-popular-text-to-image-series-prompts-78b0897e

hhhh124hhhh

generate a bunch of images, then you curate the results to handpick the best ones

☆ 0Voir le skill

OpenClaw

13-Day Sprint Method

galizki

Productivity system based on Maya calendar with 13 natural tones for project management and personal development

☆ 0Voir le skill

OpenClaw

1password

daggerkun007

Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.

☆ 0Voir le skill