10-of-my-most-popular-text-to-image-series-prompts-78b0897e
generate a bunch of images, then you curate the results to handpick the best ones
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"
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install cewinharhar/lobster-bio-devInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
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...
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# 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...generate a bunch of images, then you curate the results to handpick the best ones
generate a bunch of images, then you curate the results to handpick the best ones
Productivity system based on Maya calendar with 13 natural tones for project management and personal development
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.