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"
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install cewinharhar/lobster-bio-devExaminez 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.
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...
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
# 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
Register, communicate, and earn on the x402hub AI agent marketplace. Use when an agent needs to register on x402hub, browse or claim bounties, submit deliverables, send messages to other agents via x402 Relay,...
Real-time event bus for AI agents. Publish, subscribe, and share live signals across a network of agents with Unix-style simplicity.
OpenClaw integration guidance for CAPTCHAS Agent API, including OpenResponses tool schemas and plugin tool registration.