Retrieve and visualize Weights & Biases runs by listing projects, runs, and metrics.
npx skills add https://github.com/JoaquinCampo/Skills --skill wandb-plot
Please help me install this Agent Skill. Skill: wandb-plot Source: https://github.com/JoaquinCampo/Skills/tree/main/wandb-plot Command: npx skills add https://github.com/JoaquinCampo/Skills --skill wandb-plot
Download and generate plots from Weights & Biases runs. Use when you need to:
Plot the requested metrics for a given run by specifying the entity/project and run_id (e.g., my-org/my-project abc123).
High-intent search queries and answers about installing and using this skill.
To visualize and compare metrics across W&B runs, this Skill automates retrieval of run history and generates line plots for metrics like loss or accuracy, supporting cross-run comparisons directly from your project workspace.
Yes, you can download existing plot images from a Weights & Biases run. The Skill fetches visual assets from specified runs and saves them to a configurable output directory for offline inspection.
Yes, you need authenticated access via WANDB_API_KEY or wandb login to list projects and runs. The Skill uses wandb.Api and Run objects to securely fetch your workspace data.
Automating experiment inspection for machine learning runs is best handled by programmatically listing projects, runs, and metrics. This Skill retrieves W&B history data and generates plots, enabling quick visual checks without manual dashboard navigation.
Yes, this Skill works with pandas and matplotlib for plotting. It uses pandas to structure metric history data and matplotlib to generate line plots, integrating W&B run data into standard Python visualization workflows.
Partial metrics when plotting W&B run history can occur if the specified run did not log all metrics or if the metric name is incorrect. The Skill inspects available metrics for a run before attempting to generate line plots.
al-stevConfigure Atlassian API credentials for Jira and Confluence access.
jaechang-hitsGenerate statistical visualizations from pandas DataFrames using Seaborn.
jaredcroxtonLog ML experiment metrics, configurations, artifacts, and lineage via W&B SDK.
GenerativeAgentsManage Weights & Biases projects by analyzing runs, traces, and reports.
