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Rstudio Research Agent

Interact with R and RStudio environments for scientific research tasks including creating projects, running analyses, managing dependencies, and generating p...

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Interact with R and RStudio environments for scientific research tasks including creating projects, running analyses, managing dependencies, and generating p...

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
README.md, SKILL.md, subskills/create-project/SKILL.md, subskills/debug-env/SKILL.md, subskills/generate-plots/SKILL.md, subskills/run-analysis/SKILL.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
0.1.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 15 sections Open source page

RStudio Research Agent

A Claude Code skill for comprehensive R-based research workflow automation. This skill enables interaction with R and RStudio environments for scientific computing, statistical analysis, bioinformatics, and data visualization.

Overview

This skill helps researchers and data scientists: Create structured, reproducible R research projects Execute R scripts and RMarkdown analyses Debug environment and dependency issues Generate publication-quality plots and reports Manage R packages with renv for reproducibility Use this skill when the user wants to: Create a new R project with standard structure Run R analyses on existing projects Troubleshoot R package dependencies Generate statistical reports or visualizations Set up reproducible R workflows

What This Skill Does

When activated, this skill provides four main capabilities:

1. Create R Research Projects

Scaffold new R projects with standard folder structure Initialize Git repositories (optional) Set up renv for package management Generate template scripts and reports Create .Rproj files for RStudio

2. Run Analyses in Existing Projects

Execute R scripts and RMarkdown files Handle parameterized analyses Return results, tables, and plots Generate HTML/PDF reports

3. Debug Environment and Dependencies

Check for missing R packages Resolve library conflicts Suggest fixes for environment issues Verify R version compatibility

4. Generate Publication-Quality Plots

Create figures with ggplot2 and other visualization libraries Export to PDF/PNG/SVG/TIFF formats Follow journal-specific formatting guidelines Support multi-panel composite figures Use color-blind friendly palettes

Example User Requests That Should Trigger This Skill

"Create a new R project for my genomics data analysis" "Run analysis.R in my existing project and show results" "Check if all required packages are installed" "Generate a scatter plot with regression line from my dataset" "Set up a reproducible R workflow for RNA-seq analysis" "Debug my R environment - packages won't load" "Create a statistical report for this clinical trial data"

Project Structure

Projects created by this skill follow this standardized structure: my-research-project/ โ”œโ”€โ”€ data/ โ”‚ โ”œโ”€โ”€ raw/ # Original, immutable data files โ”‚ โ””โ”€โ”€ processed/ # Cleaned, transformed data โ”œโ”€โ”€ scripts/ # Analysis and processing scripts โ”œโ”€โ”€ results/ โ”‚ โ”œโ”€โ”€ figures/ # Plots and visualizations โ”‚ โ”œโ”€โ”€ tables/ # Summary tables โ”‚ โ””โ”€โ”€ models/ # Saved model objects (.rds files) โ”œโ”€โ”€ reports/ # R Markdown/Quarto documents โ”œโ”€โ”€ renv.lock # Package version lock file โ”œโ”€โ”€ .Rproj # RStudio project file โ””โ”€โ”€ README.md # Project documentation

Tools & Packages Commonly Used

PurposeR PackagesData wranglingtidyverse, data.tableVisualizationggplot2, patchwork, scalesStatisticsstats, lme4, survival, broomBioinformaticsBioconductor (DESeq2, edgeR, limma)Reportingrmarkdown, quartoReproducibilityrenv

Creating a New Project

User: Create a new R project for gene expression analysis with Git initialized. Skill actions: Create directory structure (data/, scripts/, results/, reports/) Initialize Git repository Set up renv environment Install DESeq2, tidyverse, ggplot2 Generate analysis template scripts Create R Markdown report template

Running an Analysis

User: Run the differential expression analysis and return results. Skill actions: Activate project environment (renv) Execute analysis script Capture console output and plots Return summary tables and model statistics Generate report if requested

Debugging Dependencies

User: My R script fails with "package not found" errors. Skill actions: Check R version and package library paths Scan script for required packages Compare with installed packages Generate installation commands Check for version conflicts

Notes

Requires R >= 4.0.0 Supports both RStudio and command-line R Uses renv for reproducible package management All outputs saved to files (not just console) Follows R best practices and modern conventions

Sub-Skills

This skill includes specialized sub-skills: create-project: Scaffold new R research projects run-analysis: Execute R scripts and generate reports debug-env: Troubleshoot R environments and dependencies generate-plots: Create publication-quality figures with journal formatting Each sub-skill can be invoked independently or as part of a complete workflow.

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
6 Docs
  • SKILL.md Primary doc
  • README.md Docs
  • subskills/create-project/SKILL.md Docs
  • subskills/debug-env/SKILL.md Docs
  • subskills/generate-plots/SKILL.md Docs
  • subskills/run-analysis/SKILL.md Docs