Generate publication-quality plots from SWARM simulation sweep and time-series data.
npx skills add https://github.com/swarm-ai-safety/swarm --skill plotting
Please help me install this Agent Skill. Skill: plotting Source: https://github.com/swarm-ai-safety/swarm/tree/main/bench/skills/plotting Command: npx skills add https://github.com/swarm-ai-safety/swarm --skill plotting
This Skill automates the creation of professional, publication-quality visualizations directly from SWARM simulation data, saving researchers and developers significant time and effort in data analysis and reporting.
Use the plotting skill to generate visualizations from the file 'simulation_results.csv'.
High-intent search queries and answers about installing and using this skill.
To generate publication-quality visualizations from SWARM simulation data, use this Skill to automatically detect whether your input is a simulation sweep or time-series history and produce corresponding plots. It requires matplotlib, pandas, and numpy for data processing and rendering.
You can create grouped welfare bar charts, box plots, and comparative agent payoff bar charts for simulation sweeps, alongside time-series plots for welfare and toxicity rates over simulation epochs to visualize multi-agent dynamics.
Yes, this Skill works directly with CSV files containing simulation results. It processes the tabular data using pandas and numpy to identify sweep parameters or time-series epochs before generating the visualizations with matplotlib.
To visualize time-series histories of toxicity rates, provide your epoch-based simulation data to the Skill. It will automatically identify the time-series format and generate line plots tracking toxicity and welfare metrics across the simulation timeline.
Yes, you can compare agent payoffs across different governance parameters by feeding your simulation sweep data into the Skill. It leverages matplotlib and pandas to generate comparative bar charts that illustrate how varying configurations impact individual agent outcomes.
GeneralReasoningRead, clean, transform, and export CSV sensor data with pandas.
michaelrizviGenerate publication-quality plots from data using matplotlib and seaborn.
swarm-ai-researchAutomate parameter grid sweeps across SWARM safety scenarios and generate summary statistics.
SenseTime-FVGGenerate static and interactive charts from tabular data using matplotlib, seaborn, and plotly.
