data-visualization-skill

lld-flow-explorer reads sequence diagrams, state machines, and flow charts from an LLD, HLD, RFC, or runbook and produces one self-contained HTML explorer with no build step. Readers can choose a flow, play or scrub request hops, inspect wire messages and state machines, and see the active route highlighted on a shared system map. It is intended for documents with several flows through common components; a single linear flow or class diagram is better left static.

This skill turns clinical .xlsx or .csv data into a standalone Korean HTML exploratory-analysis dashboard with dataset summaries, missingness, distributions, outlier candidates, optional Table 1, correlations, and VIF. It embeds assets locally, masks identifier columns, and supports print or PDF output, but does not perform inferential analysis or handle images, waveforms, or free text.

Have the agent emit semantic JSON instead of raw HTML, then render it as a self-contained file with styles, scripts, and fonts included. Reports, diagrams, or documents can be stacked into a persistent dashboard and restyled later without changing their content. The files open offline and can also be published through GitHub Pages or a custom deployment.

paper-figures reads a manuscript and its raw data, chooses statistics and chart types that match the claim, and applies journal presets such as Nature, IEEE, or PLOS. It renders and self-checks the figures, then exports editable vector graphics, high-resolution raster files, three-line Word tables, and an English, Chinese, or bilingual report. Every result comes from runnable analysis code, but authors still need to verify the methods and captions before submission.