AgentFigureGallery v0.1.0
AgentFigureGallery is a human-preference reference memory for scientific plotting agents.
It lets Codex, Claude Code, Cursor, and other coding agents query real Nature/Cell/Science-style visual references, show candidates to a human, record like/reject/select feedback, and export a selected bundle before plotting code is written.
Install
One-command Codex bootstrap:
curl -fsSL https://raw.githubusercontent.com/Dsadd4/AgentFigureGallery/main/scripts/install.sh | bashInstall all agent entrypoints:
curl -fsSL https://raw.githubusercontent.com/Dsadd4/AgentFigureGallery/main/scripts/install.sh | AFG_AGENT_TARGETS="codex claude-code cursor" bashCursor Project Rule:
agentfiguregallery install-cursor-rule --project /path/to/your-cursor-projectFull public KB:
agentfiguregallery setup --pack full-public --manifest-url https://huggingface.co/datasets/dsadd4/AgentFigureGallery/resolve/main/resource_manifest.jsonHighlights
- One-command bootstrap with Python 3.10+ auto-detection.
- Codex skill install at
~/.codex/skills/agent-figure-gallery. - Claude Code skill install at
~/.claude/skills/agent-figure-gallery. - Cursor-compatible skill install and official Cursor Project Rule output at
.cursor/rules/agent-figure-gallery.mdc. - Dynamic browser gallery for candidate generation, global/type-level preference memory, and bundle export.
- 16,341 public scientific figure references across 10 plot types.
- Hugging Face full-public KB distribution with GitHub Release fallback manifest.
- Before/after benchmark showing prompt-only plotting vs reference-guided plotting.
Visual Demo
Agent Workflow
agent query -> gallery display -> human like/reject/select -> export bundle -> agent action
Recommended agent prompt:
Read the agent-figure-gallery skill, then use AgentFigureGallery before writing publication figure code.
Verification
The release commit passes:
- Python compile
- private-path scan
- Codex / Claude Code / Cursor-compatible install smoke tests
- Cursor Project Rule generation
- query / gallery / prefer / bundle smoke test
- Hugging Face dataset card sync dry-run
Links
- GitHub: https://github.com/Dsadd4/AgentFigureGallery
- Full KB dataset: https://huggingface.co/datasets/dsadd4/AgentFigureGallery
- Quickstart: https://github.com/Dsadd4/AgentFigureGallery/blob/main/docs/AGENT_QUICKSTART.md
- Before/after benchmark: https://github.com/Dsadd4/AgentFigureGallery/blob/main/examples/before_after_benchmark/README.md

