LaunchKit · 2026
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lobster-bio-dev

Develop, extend, and contribute to Lobster AI — the multi-agent bioinformatics engine.

0
771 downloads
by @cewinharhar

Setup & Installation

openclaw skills install @cewinharhar/lobster-bio-dev

Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:

npx clawhub install lobster-bio-dev

Version History

v1.0.1Feb 13, 2026 - Version note by skill developer:

- Added developer instructions for installing and upgrading via the `uv` tool, reflecting typical end-user workflows. - Clarified that all official agents have a `tier_requirement` of "free" in `AGENT_CONFIG`. - Updated Quick Commands and setup steps to distinguish between development and end-user installation procedures. - Minor improvements to formatting and developer guidance in SKILL.md and referenced documentation files.

What This Skill Does

A development guide for Lobster AI, a multi-agent bioinformatics platform built on LangGraph. Covers adding agents and services, navigating the orchestration graph, and contributing to the open-source codebase. Key conventions include entry-point-based agent discovery and a mandatory 3-tuple service return pattern.

The skill captures non-obvious codebase conventions like AGENT_CONFIG placement, entry-point registration, and the mandatory ir parameter that are not apparent from reading the source alone.

When to use it

  • Adding a new domain expert agent for a bioinformatics modality
  • Implementing analysis services with the required 3-tuple return
  • Tracing query flow from CLI through LangGraph to agent output
  • Writing unit tests for new agents before submitting a PR
  • Debugging agent discovery failures from missing entry point registration

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: 'Add a new metabolomics expert agent to Lobster'

AGENT
  1. 1Creates packages/lobster-metabolomics/ following PEP 420 namespace structure
  2. 2Defines AGENT_CONFIG at the top of the agent file, before any heavy imports
  3. 3Registers the agent via entry point in pyproject.toml under lobster.agents
  4. 4Implements tools wrapping services with 3-tuple return and log_tool_usage(ir=ir)
  5. 5Runs pytest tests/unit/agents/ to verify registration and behavior
OUTPUT

A new metabolomics_expert agent discoverable by ComponentRegistry and routable via the supervisor

Requirements

Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.

Anthropic API key (ANTHROPIC_API_KEY) for running agents during development and testing