Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini. Given experiment results or data, auto-selects chart type and generates data-driven figures via matplotlib/seaborn.…
This FigMirror skill should be used when the user asks to "mirror this figure's style", "copy this figure's style", "make a chart that looks like this paper", "reproduce this figure with my data", "match this paper's aesthetic", "I want a NeurIPS-quality version of this", or any variant where they hand over a cropped…
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.
Use when creating, reviewing, or styling charts, graphs, dashboards, sparklines, or any data visualization. Applies to Recharts, ECharts, Chart.js, matplotlib, Plotly, seaborn, D3.js, and SVG. Enforces Tufte principles (data-ink ratio, direct labeling, range-frame axes) plus modern screen-first standards…
Collaborative visual-design system for unsettled human-visible decisions and rendered proof. Use when the answer could materially change interaction grammar, information structure, spatial composition, hierarchy, or cross-channel direction; especially for novel or dense controls, complex representations, and dedicated…
Generate matplotlib figures in the soft-pastel + warm-earth visual register used by AI alignment research blogs (Anthropic-style) — bold sans-serif display titles, scatter overlaid with smoothed trends and shaded confidence bands, minimal axes, '↓better' badges, warm coral/peach/sage/blue palettes, white background by…
Ideate and critique data visualizations using Edward Tufte's principles from "The Visual Display of Quantitative Information." Use this skill when: (1) Designing new data visualizations or charts (2) Critiquing or improving existing visualizations (3) Reviewing dashboards or reports for graphical integrity (4)…
Raw-data SCI figure workbench for CSV/TSV/XLSX tables. Use when the user has 原始数据, Excel/CSV data, statistical design questions, group comparisons, relationships, time-course data, compositions, matrices, survival, dose-response, ROC/PR, or supplied specialist results that need defensible publication figure…
Scientific image standardization for microscopy, fluorescence, histology, pathology, and electron-microscopy image batches. Use when the user has raw or derived scientific raster images needing non-destructive processing, locked tone settings, equal dimensions, calibrated scale bars, manifests, montages, or image…
Generate, revise, and audit source-backed quantitative manuscript figures, and visually audit exported schematic/conceptual figures and graphical abstracts without redrawing them in v0.1. Use for Elsevier-style manuscript figure generation, matplotlib or ggplot2 result plots, line charts, heatmaps, bar charts, scatter…
Generate publication-quality academic diagrams, methodology figures, architecture illustrations, and statistical plots from text descriptions using the PaperBanana multi-agent AI pipeline. Also evaluate diagram quality against reference images. Use when: (1) user asks to generate, create, or make a research diagram…
A data-visualisation MCP server for creating charts, reports, tables, KPI cards, and dashboards from data. It also parses CSV files and provides data checks, formatting, outlier detection, and normalisation.