cangyeone
- 15 skills
- 0 followers
- 9 hours ago last updated
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- ▌ Gmt Plotting · cangyeone bundleUse GMT / Generic Mapping Tools for publication-style geoscience maps, topography, coastlines, focal mechanisms, cross-sections, and shell-based GMT plotting. Choose this skill whenever the user explicitly says GMT.
- ▌ Nature Figure · cangyeone bundlePublication-ready matplotlib figures for Nature/high-impact journals and academic papers. Covers bar charts, grouped bars, heatmaps, line/trend plots, forest plots, microscopy-style image panels, schematic + quantitative composites, radar plots, and multi-panel layouts with Nature-style typography (Arial/sans-serif), restrained color systems, and SVG/PDF export conventions. Use when creating scientific figures that must match Nature publication standards. Do NOT use for interactive dashboards (Plotly, Bokeh) or Illustrator/Figma-first infographic workflows.
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- ▌ Cartopy Plotting · cangyeone bundleUse Cartopy and Matplotlib for Python-based geographic maps when the user asks for general map plotting or explicitly asks for Cartopy/Matplotlib. Do not choose this skill when the user explicitly asks for GMT.
- ▌ Nature Polishing · cangyeone bundlePolish, restructure, or translate academic prose into Nature-leaning English using the paper-architecture and writing-strategy principles from Scientific English Writing & Communication, with phrase-level support from Academic Phrasebank. Use whenever the user asks to polish a manuscript paragraph, abstract, introduction, results, discussion, conclusion, title, methods section, or Chinese academic draft for publication-quality English.
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- ▌ Pnsn Phase Detection · cangyeone bundleUse this skill for seismic phase picking, earthquake monitoring, Pg/Sg/Pn/Sn detection, P/S arrival picking, continuous waveform scanning, SeismicX-Cont/publish_mini-style HDF5 datasets, pnsn deep-learning pickers, PhaseNet/EQTransformer/RNN/LPPN pickers, picker benchmarking, annotation plotting, and downstream phase association with FastLink, REAL, or GaMMA. Trigger when the user asks to detect phases, pick arrivals, monitor earthquakes, process continuous SAC/MSEED/SEED/HDF5 waveforms, evaluate picker recall/precision, draw labeled waveform panels, associate picks into earthquake events, or autonomously write/debug custom Python picking code with component grouping, preprocessing, TorchScript inference, pick tables, figures, mini-tests, and self-check output.
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- ▌ Continuous Seismic Monitoring · cangyeone bundleUse this skill for SeismicX-Cont/publish_mini continuous waveform dataset building, HDF5/SQLite dataloaders, picker benchmarking, phase-pick recall/statistics, REAL phase association, and continuous earthquake detection workflows.