An Automated AI Agent Tool for Plotting Your Data in Any Paper's Figure Style.
- ✓Actively maintained (<30d)
- ✓Healthy fork ratio
- ✓Clear description
- ✓Topics declared
- !No standard license detected
git clone https://github.com/VILA-Lab/FigMirror && cp FigMirror/*.md ~/.claude/agents/12 items en este repositorio
Reviewer role in the FigMirror loop. Audits a draft figure against the L1 reference image, L2 aesthetic library, and optional 3D insert; outputs ONE strict JSON object (anchor.what_is_right + quality_floor + fidelity.verdict + focus_themes). Vision-only audit — must NOT read data.txt, drawer notes, or any path outside the audit_view directory it is briefed to read. Tools restricted to Read + Bash for PIL measurement on L1-reliable properties only. Dispatched by figure-orchestrator on each iter.
Drawer role in the FigMirror loop. Produces a self-contained matplotlib script + rendered PNG + iter notes that match a reference paper figure's STYLE (not its data). Reads the reference image, the user's data, the L2 aesthetic library, and optional 3D insert; runs an iter-0 anchor-measurement pass; self-checks the layout floor before handoff. Dispatched by figure-orchestrator on each iter of the Drawer/Reviewer loop. Do NOT use this agent standalone — it expects the workdir layout staged by figure-orchestrator.
Stage-0 image cropper for FigMirror. Cleans the user-supplied reference screenshot before Drawer/Reviewer style analysis by preserving the raw upload, cropping away captions/page text/screenshot margins/neighboring panels when safe, writing reference_clean.png plus a before/after crop check and report. Dispatched before figure-illustrator and figure-critic.
Enter explore mode - think through ideas, investigate problems, clarify requirements
Propose a new change - create it and generate all artifacts in one step
Implement tasks from an OpenSpec change. Use when the user wants to start implementing, continue implementation, or work through tasks.
Archive a completed change in the experimental workflow. Use when the user wants to finalize and archive a change after implementation is complete.
Enter explore mode - a thinking partner for exploring ideas, investigating problems, and clarifying requirements. Use when the user wants to think through something before or during a change.
Propose a new change with all artifacts generated in one step. Use when the user wants to quickly describe what they want to build and get a complete proposal with design, specs, and tasks ready for implementation.
Resumen de Subagents
Lo que la gente pregunta sobre FigMirror
¿Qué es VILA-Lab/FigMirror?
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VILA-Lab/FigMirror es subagents para el ecosistema de Claude AI. An Automated AI Agent Tool for Plotting Your Data in Any Paper's Figure Style. Tiene 460 estrellas en GitHub y se actualizó por última vez 18d ago.
¿Cómo se instala FigMirror?
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Puedes instalar FigMirror clonando el repositorio (https://github.com/VILA-Lab/FigMirror) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar VILA-Lab/FigMirror?
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Nuestro agente de seguridad ha analizado VILA-Lab/FigMirror y le ha asignado un Trust Score de 72/100 (tier: OK). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene VILA-Lab/FigMirror?
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VILA-Lab/FigMirror es mantenido por VILA-Lab. La última actividad registrada en GitHub es de 18d ago, con 2 issues abiertos.
¿Hay alternativas a FigMirror?
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Sí. En ClaudeWave puedes explorar subagents similares en /categories/agents, ordenados por popularidad o actividad reciente.
Despliega FigMirror en tu cloud
Lleva este repo a producción en minutos. Cada plataforma genera su propio entorno con variables de entorno editables.
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