Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
LobsterBio - 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"
skill openclawclawhub Free
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"
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- references/architecture.md, references/cli.md, references/creating-services.md, references/testing.md, references/code-layout.md, references/creating-agents.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.1
Provenance
- Publisher
- cewinharhar
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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
TaskDocumentationArchitecture overviewreferences/architecture.mdCreating new agentsreferences/creating-agents.mdCreating new servicesreferences/creating-services.mdCode layout & finding filesreferences/code-layout.mdTesting patternsreferences/testing.mdCLI referencereferences/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/ # Infrastructure (registry, data_manager, provenance) ├── services/ # Analysis services └── tools/ # Agent tools
Quick Commands
# Setup (development) make dev-install # Full dev setup with editable install make test # Run all tests make format # black + isort # Setup (end-user testing via uv tool) uv tool install 'lobster-ai[full,anthropic]' # Install as users see it uv tool upgrade lobster-ai # Upgrade to latest # Running lobster chat # Interactive mode lobster query "your request" # Single-turn # Testing pytest tests/unit/ # Fast unit tests pytest tests/integration/ # Integration tests
Service Pattern (Essential)
All services return a 3-tuple: def analyze(self, adata, **params) -> Tuple[AnnData, Dict, AnalysisStep]: # Your analysis logic stats = {"n_cells": adata.n_obs, "status": "complete"} ir = AnalysisStep( activity_type="analyze", inputs={"n_obs": adata.n_obs}, outputs=stats, params=params ) return processed_adata, stats, ir Tools wrap services: @tool def analyze_modality(modality_name: str, **params) -> str: result, stats, ir = service.analyze(adata, **params) data_manager.log_tool_usage("analyze", params, stats, ir=ir) # IR mandatory! return f"Complete: {stats}"
Agent Registration (Entry Points)
Agents register via pyproject.toml: [project.entry-points."lobster.agents"] my_agent = "lobster.agents.my_domain.my_agent:AGENT_CONFIG" AGENT_CONFIG must be defined at module top (before imports): # lobster/agents/mydomain/my_agent.py from lobster.config.agent_registry import AgentRegistryConfig AGENT_CONFIG = AgentRegistryConfig( name="my_agent", display_name="My Expert Agent", description="What this agent does", factory_function="lobster.agents.mydomain.my_agent.my_agent", handoff_tool_name="handoff_to_my_agent", handoff_tool_description="Assign tasks for my domain analysis", tier_requirement="free", # All official agents are free ) # Heavy imports AFTER config from lobster.core.data_manager_v2 import DataManagerV2 # ... rest of implementation
Key Files
FilePurposelobster/agents/graph.pyLangGraph orchestrationlobster/core/component_registry.pyAgent discoverylobster/core/data_manager_v2.pyData/workspace managementlobster/core/provenance.pyW3C-PROV trackinglobster/cli.pyCLI implementation
Online Documentation
Full documentation at docs.omics-os.com (or local docs-site/): Getting Started: docs/getting-started/ Core SDK: docs/core/ Agents: docs/agents/ Developer Guide: docs/developer/ API Reference: docs/api-reference/
Adding a New Agent
Create package: packages/lobster-mydomain/ Define AGENT_CONFIG at top of agent file Register entry point in pyproject.toml Implement agent with tools Add tests in tests/unit/agents/ See references/creating-agents.md for full guide.
Adding a New Service
Create service class in appropriate package Implement 3-tuple return pattern Wrap in tool with log_tool_usage Add unit tests See references/creating-services.md for full guide.
Understanding Data Flow
User Query → CLI → LobsterClientAdapter → AgentClient ↓ LangGraph (supervisor → agents) ↓ Services → DataManagerV2 ↓ Results + Provenance
Testing
# Unit tests (fast, no external deps) pytest tests/unit/ -v # Integration tests (may need env vars) pytest tests/integration/ -v # Specific test pytest tests/unit/test_my_feature.py -v # With coverage pytest --cov=lobster tests/
Contributing
Fork the repository Create feature branch: git checkout -b feature/my-feature Make changes following patterns above Run tests: make test Format code: make format Submit PR with clear description
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
6 Docs
- references/architecture.md
- references/cli.md
- references/code-layout.md
- references/creating-agents.md
- references/creating-services.md
- references/testing.md