Task Router Skill
Task Router
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"
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install cewinharhar/lobster-bio-dev打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
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.
| 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 |
(AnnData, Dict, AnalysisStep) alwaysir — log_tool_usage(..., ir=ir) for reproducibilitylobster/__init__.py — PEP 420 namespace packagelobster/
├── 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...
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# 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...Task Router
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