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visualize-results

Generate visualizations from experiment results using presentation manifests and recipes.

Updated Jun 11, 2026
Search Tags:#research#iteration#visualization#experiment#data presentation
One-click install
npx skills add https://github.com/antondelafuente/automated-researcher --skill visualize-results
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: visualize-results
Source: https://github.com/antondelafuente/automated-researcher/tree/main/plugins/experiment-lifecycle/skills/visualize-results
Command: npx skills add https://github.com/antondelafuente/automated-researcher --skill visualize-results

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the creation and iteration of visualizations for finished experiments, allowing researchers to visualize and present their findings without manual setup.

Core Features & Use Cases

  • Visualization Creation: Automatically generate visualizations based on experiment data.
  • Local Iteration: Allows researchers to iterate on visualizations locally before publishing.
  • Publish on Demand: Publish visualizations only when researchers explicitly request it.
  • Use Case: After completing an experiment, a researcher can use this Skill to create visualizations of the results. They can iterate on these visualizations locally and only publish them when ready.

Quick Start

To visualize the results of an experiment, run the 'visualize-results' skill with the experiment record as an input.

Frequently Asked Questions about visualize-results

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate the creation of data visualizations for experiment results?▼

You can automate the creation of data visualizations for experiment results by providing an experiment record and results files to a visualization tool. The process reads presentation manifests to generate visualizations based on configured preview and publish recipes.

What is the best way to iterate on research data visualizations before publishing?▼

The best way to iterate on research data visualizations before publishing is to use a local iteration workflow. This allows you to generate visualizations locally and refine them repeatedly, publishing the final outputs only when explicitly requested.

Do I need Python to generate and publish experiment visualizations locally?▼

Yes, you need Python installed to generate and publish experiment visualizations locally. Python is required to run the local iteration capabilities and execute the configured publish recipes for your data presentation manifests.

How do presentation manifests work when creating data visualizations?▼

Presentation manifests work by defining the configured preview and publish recipes for your experiment visualizations. The visualization tool reads these manifests alongside your results files to automatically generate the appropriate data presentation outputs.

Can I publish visualizations on demand after finishing an experiment?▼

Yes, you can publish visualizations on demand after finishing an experiment. The workflow separates local iteration from publishing, ensuring visualizations are published only when you explicitly request it through the configured publish recipes.

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