{
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    "name": "Rstudio Research Agent",
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          "label": "Upgrade existing",
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      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
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        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
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    "steps": [
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      "Paste one of the prompts below and point your agent at the extracted folder."
    ],
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      {
        "label": "New install",
        "body": "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."
      },
      {
        "label": "Upgrade existing",
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      }
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  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "RStudio Research Agent",
        "body": "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."
      },
      {
        "title": "Overview",
        "body": "This skill helps researchers and data scientists:\n\nCreate structured, reproducible R research projects\nExecute R scripts and RMarkdown analyses\nDebug environment and dependency issues\nGenerate publication-quality plots and reports\nManage R packages with renv for reproducibility\n\nUse this skill when the user wants to:\n\nCreate a new R project with standard structure\nRun R analyses on existing projects\nTroubleshoot R package dependencies\nGenerate statistical reports or visualizations\nSet up reproducible R workflows"
      },
      {
        "title": "What This Skill Does",
        "body": "When activated, this skill provides four main capabilities:"
      },
      {
        "title": "1. Create R Research Projects",
        "body": "Scaffold new R projects with standard folder structure\nInitialize Git repositories (optional)\nSet up renv for package management\nGenerate template scripts and reports\nCreate .Rproj files for RStudio"
      },
      {
        "title": "2. Run Analyses in Existing Projects",
        "body": "Execute R scripts and RMarkdown files\nHandle parameterized analyses\nReturn results, tables, and plots\nGenerate HTML/PDF reports"
      },
      {
        "title": "3. Debug Environment and Dependencies",
        "body": "Check for missing R packages\nResolve library conflicts\nSuggest fixes for environment issues\nVerify R version compatibility"
      },
      {
        "title": "4. Generate Publication-Quality Plots",
        "body": "Create figures with ggplot2 and other visualization libraries\nExport to PDF/PNG/SVG/TIFF formats\nFollow journal-specific formatting guidelines\nSupport multi-panel composite figures\nUse color-blind friendly palettes"
      },
      {
        "title": "Example User Requests That Should Trigger This Skill",
        "body": "\"Create a new R project for my genomics data analysis\"\n\"Run analysis.R in my existing project and show results\"\n\"Check if all required packages are installed\"\n\"Generate a scatter plot with regression line from my dataset\"\n\"Set up a reproducible R workflow for RNA-seq analysis\"\n\"Debug my R environment - packages won't load\"\n\"Create a statistical report for this clinical trial data\""
      },
      {
        "title": "Project Structure",
        "body": "Projects created by this skill follow this standardized structure:\n\nmy-research-project/\n├── data/\n│   ├── raw/               # Original, immutable data files\n│   └── processed/         # Cleaned, transformed data\n├── scripts/               # Analysis and processing scripts\n├── results/\n│   ├── figures/           # Plots and visualizations\n│   ├── tables/            # Summary tables\n│   └── models/            # Saved model objects (.rds files)\n├── reports/               # R Markdown/Quarto documents\n├── renv.lock              # Package version lock file\n├── .Rproj                 # RStudio project file\n└── README.md              # Project documentation"
      },
      {
        "title": "Tools & Packages Commonly Used",
        "body": "PurposeR PackagesData wranglingtidyverse, data.tableVisualizationggplot2, patchwork, scalesStatisticsstats, lme4, survival, broomBioinformaticsBioconductor (DESeq2, edgeR, limma)Reportingrmarkdown, quartoReproducibilityrenv"
      },
      {
        "title": "Creating a New Project",
        "body": "User: Create a new R project for gene expression analysis with Git initialized.\n\nSkill actions:\n\nCreate directory structure (data/, scripts/, results/, reports/)\nInitialize Git repository\nSet up renv environment\nInstall DESeq2, tidyverse, ggplot2\nGenerate analysis template scripts\nCreate R Markdown report template"
      },
      {
        "title": "Running an Analysis",
        "body": "User: Run the differential expression analysis and return results.\n\nSkill actions:\n\nActivate project environment (renv)\nExecute analysis script\nCapture console output and plots\nReturn summary tables and model statistics\nGenerate report if requested"
      },
      {
        "title": "Debugging Dependencies",
        "body": "User: My R script fails with \"package not found\" errors.\n\nSkill actions:\n\nCheck R version and package library paths\nScan script for required packages\nCompare with installed packages\nGenerate installation commands\nCheck for version conflicts"
      },
      {
        "title": "Notes",
        "body": "Requires R >= 4.0.0\nSupports both RStudio and command-line R\nUses renv for reproducible package management\nAll outputs saved to files (not just console)\nFollows R best practices and modern conventions"
      },
      {
        "title": "Sub-Skills",
        "body": "This skill includes specialized sub-skills:\n\ncreate-project: Scaffold new R research projects\nrun-analysis: Execute R scripts and generate reports\ndebug-env: Troubleshoot R environments and dependencies\ngenerate-plots: Create publication-quality figures with journal formatting\n\nEach sub-skill can be invoked independently or as part of a complete workflow."
      }
    ],
    "body": "RStudio Research Agent\n\nA 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.\n\nOverview\n\nThis skill helps researchers and data scientists:\n\nCreate structured, reproducible R research projects\nExecute R scripts and RMarkdown analyses\nDebug environment and dependency issues\nGenerate publication-quality plots and reports\nManage R packages with renv for reproducibility\n\nUse this skill when the user wants to:\n\nCreate a new R project with standard structure\nRun R analyses on existing projects\nTroubleshoot R package dependencies\nGenerate statistical reports or visualizations\nSet up reproducible R workflows\nWhat This Skill Does\n\nWhen activated, this skill provides four main capabilities:\n\n1. Create R Research Projects\nScaffold new R projects with standard folder structure\nInitialize Git repositories (optional)\nSet up renv for package management\nGenerate template scripts and reports\nCreate .Rproj files for RStudio\n2. Run Analyses in Existing Projects\nExecute R scripts and RMarkdown files\nHandle parameterized analyses\nReturn results, tables, and plots\nGenerate HTML/PDF reports\n3. Debug Environment and Dependencies\nCheck for missing R packages\nResolve library conflicts\nSuggest fixes for environment issues\nVerify R version compatibility\n4. Generate Publication-Quality Plots\nCreate figures with ggplot2 and other visualization libraries\nExport to PDF/PNG/SVG/TIFF formats\nFollow journal-specific formatting guidelines\nSupport multi-panel composite figures\nUse color-blind friendly palettes\nExample User Requests That Should Trigger This Skill\n\"Create a new R project for my genomics data analysis\"\n\"Run analysis.R in my existing project and show results\"\n\"Check if all required packages are installed\"\n\"Generate a scatter plot with regression line from my dataset\"\n\"Set up a reproducible R workflow for RNA-seq analysis\"\n\"Debug my R environment - packages won't load\"\n\"Create a statistical report for this clinical trial data\"\nProject Structure\n\nProjects created by this skill follow this standardized structure:\n\nmy-research-project/\n├── data/\n│   ├── raw/               # Original, immutable data files\n│   └── processed/         # Cleaned, transformed data\n├── scripts/               # Analysis and processing scripts\n├── results/\n│   ├── figures/           # Plots and visualizations\n│   ├── tables/            # Summary tables\n│   └── models/            # Saved model objects (.rds files)\n├── reports/               # R Markdown/Quarto documents\n├── renv.lock              # Package version lock file\n├── .Rproj                 # RStudio project file\n└── README.md              # Project documentation\n\nTools & Packages Commonly Used\nPurpose\tR Packages\nData wrangling\ttidyverse, data.table\nVisualization\tggplot2, patchwork, scales\nStatistics\tstats, lme4, survival, broom\nBioinformatics\tBioconductor (DESeq2, edgeR, limma)\nReporting\trmarkdown, quarto\nReproducibility\trenv\nExample Workflows\nCreating a New Project\n\nUser: Create a new R project for gene expression analysis with Git initialized.\n\nSkill actions:\n\nCreate directory structure (data/, scripts/, results/, reports/)\nInitialize Git repository\nSet up renv environment\nInstall DESeq2, tidyverse, ggplot2\nGenerate analysis template scripts\nCreate R Markdown report template\nRunning an Analysis\n\nUser: Run the differential expression analysis and return results.\n\nSkill actions:\n\nActivate project environment (renv)\nExecute analysis script\nCapture console output and plots\nReturn summary tables and model statistics\nGenerate report if requested\nDebugging Dependencies\n\nUser: My R script fails with \"package not found\" errors.\n\nSkill actions:\n\nCheck R version and package library paths\nScan script for required packages\nCompare with installed packages\nGenerate installation commands\nCheck for version conflicts\nNotes\nRequires R >= 4.0.0\nSupports both RStudio and command-line R\nUses renv for reproducible package management\nAll outputs saved to files (not just console)\nFollows R best practices and modern conventions\nSub-Skills\n\nThis skill includes specialized sub-skills:\n\ncreate-project: Scaffold new R research projects\nrun-analysis: Execute R scripts and generate reports\ndebug-env: Troubleshoot R environments and dependencies\ngenerate-plots: Create publication-quality figures with journal formatting\n\nEach sub-skill can be invoked independently or as part of a complete workflow."
  },
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    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/JackKuo666/rstudio-research-agent",
    "publisherUrl": "https://clawhub.ai/JackKuo666/rstudio-research-agent",
    "owner": "JackKuo666",
    "version": "0.1.0",
    "license": null,
    "verificationStatus": "Indexed source record"
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    "downloadUrl": "https://openagent3.xyz/downloads/rstudio-research-agent",
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