A comprehensive agent skill for automating R-based scientific research, project scaffolding, and publication-quality data visualization.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install rstudio-research-agent
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install rstudio-research-agent using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is RStudio Research Agent?
The RStudio Research Agent is a robust extension for Claude Code designed to bridge the gap between AI-driven assistance and rigorous scientific computing. As a specialized addition to the Openclaw Skills library, it enables developers and researchers to interact seamlessly with R and RStudio environments. It handles the heavy lifting of project organization, script execution, and dependency management, ensuring that research remains reproducible and structured according to industry best practices.
This skill is particularly valuable for data scientists who need to maintain complex statistical workflows without getting bogged down in environment setup or directory management. By leveraging this tool within the Openclaw Skills ecosystem, users can focus on their data insights while the agent manages the underlying R infrastructure, from initial scaffolding to the generation of final reports.
RStudio Research Agent Use Cases
- Creating standardized R research projects with integrated version control.
- Executing RMarkdown analyses to generate automated HTML or PDF reports.
- Troubleshooting and resolving R package dependency conflicts using renv.
- Generating journal-ready visualizations with ggplot2 following specific formatting guidelines.
- Managing high-throughput bioinformatics workflows through Bioconductor integration.
How RStudio Research Agent Works
- The skill detects R-related research requests and initializes the relevant sub-skill based on the user's objective.
- For project creation, it scaffolds a hierarchical directory structure including data, scripts, and results folders.
- It initializes renv to create an isolated environment, ensuring package versions are locked for reproducibility.
- During analysis, the agent executes R scripts, captures output streams, and monitors for potential execution errors or missing libraries.
- It saves generated artifacts—such as plots, tables, and model objects—into the appropriate project subdirectories for easy access within RStudio.
RStudio Research Agent Setup
Ensure that R (version 4.0.0 or higher) is installed on your local machine. You can install this skill through the Openclaw Skills command-line interface:
openclaw install rstudio-research-agent
It is highly recommended to have the renv package installed in your R environment to take full advantage of the reproducibility features provided by this skill.
RStudio Research Agent Data Schema & Taxonomy
The RStudio Research Agent organizes files using a strict taxonomy to ensure compatibility with standard RStudio workflows:
| Path | Purpose |
|---|---|
data/raw/ |
Immutable original datasets. |
data/processed/ |
Cleaned and transformed data ready for analysis. |
scripts/ |
R source files for data processing and modeling. |
results/figures/ |
Exported plots in PDF, PNG, or SVG formats. |
results/models/ |
Saved .rds files containing statistical model objects. |
reports/ |
RMarkdown or Quarto source files and generated outputs. |
renv.lock |
JSON-formatted file mapping all package dependencies. |
RStudio Research Agent Advanced Features
- Automatic Git initialization for tracking changes in research code and documentation.
- Support for parameterized RMarkdown reports to run batch analyses across different datasets.
- Intelligent dependency scanning that suggests installation commands for missing CRAN or Bioconductor packages.
- Multi-panel figure generation with color-blind friendly palettes and high-resolution export options.
- Seamless transition between command-line R execution and GUI-based RStudio project management.
SKILL.md
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