// Publication-quality chart patterns for agentsociety-analysis Stage 4 refine — Okabe-Ito palettes, seaborn CI bands, small multiples, error bars, grayscale-safe encoding. Use when writing run-code chart scripts or reviewing chart QA failures.
Use when an experiment run has completed and the user wants rigorous interpretation, claim-driven charts, bilingual reports, or cross-hypothesis synthesis from simulation data. Also use when multiple charts or PNG/JPG assets must be assembled into one labeled composite figure. Requires high-quality narrative and evidence traceability, not only harness gate PASS.
Create distinctive, production-grade frontend interfaces with high design quality. Use when building or polishing analysis HTML reports under agentsociety-analysis — read via support/frontend-design/ inside that skill, not as a separate pipeline skill.
Multi-modal interactive data presentation for agentsociety-analysis — EDA bundle (PyGWalker, Plotly, sortable tables, eda_hub), plotly/altair claim charts, HTML tab surfaces. Use in explore, refine, and produce stages.
Composable HTML block patterns for agentsociety-analysis reports — KPI strips, figure cards, Mermaid, EDA tabs, optional interactive chart iframes. Use during Stage 5 produce when authoring report_zh.html / report_en.html.
Use when starting or resuming an AgentSociety research workspace, deciding which research skill to invoke next, checking current pipeline state, or sizing a simulation before configuration and module creation.
Update internal emotion and intention from observation, needs, memory, and recent plan state. Use after observation and before planning/action.
| name | scientific-visualization |
| description | Publication-quality chart patterns for agentsociety-analysis Stage 4 refine — Okabe-Ito palettes, seaborn CI bands, small multiples, error bars, grayscale-safe encoding. Use when writing run-code chart scripts or reviewing chart QA failures. |
Active only during agentsociety-analysis explore/refine/produce. Does not replace figure contracts or harness gates.
charts/chart_NN_*.py via run-codevalidate-chartreferences/charts.mdreferences/chart-recipes.mdassets/chart_scaffold.reference.pyreferences/api.md| Source | Absorbed |
|---|---|
| K-Dense scientific-visualization | Okabe-Ito, CI/error bars, multi-panel labels, grayscale test |
| seaborn | set_theme(ticks, paper, colorblind), lineplot CI, boxplot+stripplot |
| Observable Plot | Defaults-first workflow, faceting, shared scales |
| Tufte | Small multiples, chart junk removal |
| Cursor canvas | Mandatory metric titles, axis units, source in caption |
Agg requiredassets/ required; interactive HTML optionalCopy scaffold → pick recipe letter (A–G) → fill SQL/pandas → save_chart_bundle → rubric → compose-figure if needed.