/interactive-viz

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.

BOOST

tsinghua-fib-lab@tsinghua-fib-lab

GitHub

From plugin

agentsociety

1.4k16 skills5 commands

Install

$ npx -y skills add tsinghua-fib-lab/agentsociety --skill interactive-viz --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.
You can call itInvoke it directly when you want it.
Slash command/interactive-viz

Context preview

The summary Claude sees to decide when to auto-load this 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.

SKILL.md

interactive-viz.SKILL.md

name: interactive-viz
description: 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.

Interactive Viz (bundled support)

When to use

User wants interactive / diverse data presentation
Stage 2 explore: run `run-eda --type bundle`
Stage 4: `presentation_mode: static_plus_interactive`
Stage 5: multi-tab §数据 with `eda_hub.html`

Commands

# Full interactive EDA pack + hub
ags.py analysis run-eda --db-path DB --output-dir DIR/data --type bundle --workspace WS --hypothesis-id HID

# Single modes
ags.py analysis run-eda ... --type pygwalker
ags.py analysis run-eda ... --type datatable
ags.py analysis run-eda ... --type plotly-profile
ags.py analysis run-eda ... --type eda-hub

Read order

1. `references/eda.md` 2. `references/charts.md` (optional interactive export) 3. `references/reports.md` (HTML embed)

Python (run-code)

from agentsociety2.skills.analysis.chart_export import export_plotly_html, export_pygwalker_html

Report

Embed `data/eda_hub.html` as primary §数据 interactive surface; per-claim plotly iframes under `.figure-block`.

Read it on GitHub ↗

Ships withagentsociety

AgentSociety 2 is a modern, LLM-native agent simulation platform designed for social science research and experimental design. It provides a flexible framework for creating and managing intelligent agents in simulated environments.

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