A development toolkit for building and extending the Lobster AI multi-agent bioinformatics engine.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install lobsterbio-dev
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install lobsterbio-dev using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Lobster AI Development?
Lobster AI is a powerful, open-source bioinformatics engine built on LangGraph that automates the journey from raw biological data to scientific visualization. By integrating with Openclaw Skills, this development framework allows engineers to create self-extending agents that can handle complex biological tasks. It focuses on maintaining a strict plugin architecture that ensures modularity and scalability across various omics domains.
Using this skill, developers can leverage PEP 420 namespace packages to contribute to the core engine or build standalone plugins. The framework enforces high-quality standards through automated scaffolding and contract testing, making it easier than ever to build reliable bioinformatics software.
Lobster AI Development Use Cases
- Developing new agents for specialized biological domains like epigenomics or transcriptomics.
- Creating custom tools to extend the capabilities of existing multi-agent supervisors.
- Building service adapters for proprietary or niche biological databases.
- Automating the generation of standardized bioinformatics metadata and provenance logs.
How Lobster AI Development Works
- Environment Verification: The system checks for a valid Python 3.12 environment and identifies the presence of the lobster-ai package.
- Strategic Planning: Developers follow a guided workflow to define the scope and domain knowledge required for the new agent to avoid duplication.
- Scaffold Generation: The CLI tool generates the necessary PEP 420 directory structure and entry points automatically.
- Core Development: Developers implement tools and services, ensuring they adhere to the AQUADIF metadata standards and use the mandatory 3-tuple service return format.
- Compliance Testing: The plugin is validated against a strict check of architectural requirements and contract tests to ensure seamless integration.
Lobster AI Development Setup
To begin developing with these Openclaw Skills, follow these installation steps:
uv venv --python 3.12 .venv && source .venv/bin/activate
uv pip install 'lobster-ai[anthropic]' # Choose your provider: anthropic, openai, or google
lobster --version
Always use the lobster scaffold agent command to create new projects to ensure correct namespace configuration.
Lobster AI Development Data Schema & Taxonomy
| Component | Description |
|---|---|
| Agent Config | Module-level AGENT_CONFIG dictionary for rapid component discovery. |
| Service Return | A strict 3-tuple format: (AnnData, Metadata Dict, AnalysisStep). |
| Tool Metadata | AQUADIF tags and metadata assigned directly after the @tool decorator. |
| Namespace | PEP 420 compliant packages that exclude init.py files in the root. |
Lobster AI Development Advanced Features
- Supervisor multi-agent architecture for decomposing complex bioinformatics tasks.
- Lazy-loading component registry for sub-50ms entry point discovery times.
- Automated provenance tracking through mandatory log_tool_usage calls.
- Standardized AQUADIF contract testing suite for comprehensive plugin validation.
SKILL.md
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