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 in this repository
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.
Subagents overview
What people ask about FigMirror
What is VILA-Lab/FigMirror?
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VILA-Lab/FigMirror is subagents for the Claude AI ecosystem. An Automated AI Agent Tool for Plotting Your Data in Any Paper's Figure Style. It has 460 GitHub stars and was last updated 18d ago.
How do I install FigMirror?
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You can install FigMirror by cloning the repository (https://github.com/VILA-Lab/FigMirror) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is VILA-Lab/FigMirror safe to use?
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Our security agent has analyzed VILA-Lab/FigMirror and assigned a Trust Score of 72/100 (tier: OK). See the full breakdown of passed checks and flags on this page.
Who maintains VILA-Lab/FigMirror?
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VILA-Lab/FigMirror is maintained by VILA-Lab. The last recorded GitHub activity is from 18d ago, with 2 open issues.
Are there alternatives to FigMirror?
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Yes. On ClaudeWave you can browse similar subagents at /categories/agents, sorted by popularity or recent activity.
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