AgentFigureGallery / README.md
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---
pretty_name: AgentFigureGallery
language:
- en
tags:
- scientific-figures
- data-visualization
- bioinformatics
- ai-agents
- agent-skill
- codex
- codex-skill
- claude-code
- cursor
- coding-agents
- human-in-the-loop
- nature-style
- cell-style
- science-style
license: mit
---
# AgentFigureGallery Full Public KB
Full public visual reference pack for AgentFigureGallery, a human-preference memory system and installable agent skill for scientific plotting agents.
The pack contains 16,341 public visual candidates across 10 scientific plot types, plus metadata needed by the AgentFigureGallery CLI, browser gallery, and Codex / Claude Code / Cursor-compatible skill workflow.
## Use
```bash
git clone https://github.com/Dsadd4/AgentFigureGallery.git
cd AgentFigureGallery
pip install -e .
agentfiguregallery install-skill --target codex
agentfiguregallery setup --pack full-public --manifest-url https://huggingface.co/datasets/dsadd4/AgentFigureGallery/resolve/main/resource_manifest.json
agentfiguregallery gallery --plot-type embedding_plot --limit 50 --serve
```
One-command Codex bootstrap:
```bash
curl -fsSL https://raw.githubusercontent.com/Dsadd4/AgentFigureGallery/main/scripts/install.sh | bash
```
Optional agent installs:
```bash
agentfiguregallery install-skill --target claude-code
agentfiguregallery install-skill --target cursor
agentfiguregallery install-cursor-rule --project /path/to/your-cursor-project
```
## Candidate Counts
- bar_chart: 1,516
- benchmark_performance: 2,310
- box_violin_distribution: 1,026
- embedding_plot: 1,273
- heatmap_matrix: 1,122
- line_chart: 1,035
- microscopy_panel: 1,756
- multi_panel_figure: 4,148
- scatter_plot: 1,489
- spatial_map: 666
## Intended Use
This dataset is intended for visual reference retrieval, human preference selection, and agent-guided scientific figure generation.
Recommended loop:
```text
agent query -> gallery display -> human like/reject/select -> export bundle -> agent action
```
It is not intended as a benchmark for biological conclusions, image classification, or clinical decision making.
## Source And Filtering
The full-public pack is filtered to remove private local paths and private repositories. Public source attribution is preserved in candidate metadata when available.