Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Productivity
Creating R Research Projects
Set up a reproducible R research workspace, install required packages, run statistical or bioinformatics analysis, and generate publication-ready reports and...
skill openclawclawhub Free
Set up a reproducible R research workspace, install required packages, run statistical or bioinformatics analysis, and generate publication-ready reports and...
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0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md, examples/README.md, examples/demo-analysis/data/raw/sample_data.csv
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.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- 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
Provenance
- Publisher
- JackKuo666
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Creating R Research Projects
This skill helps create and manage a complete R-based research analysis workflow. It is designed for scientific computing, statistical modeling, bioinformatics, and data visualization tasks. Use this skill when the user wants to: Analyze datasets using R Perform statistical tests or modeling Run bioinformatics or omics analysis in R Generate plots, figures, or reports Create a reproducible R project structure Install and manage R package dependencies
What This Skill Does
When activated, this skill will: Create a structured R project data/ for raw and processed data scripts/ for analysis code results/ for outputs reports/ for R Markdown or Quarto reports Set up environment Initialize .Rproj (if using RStudio) Create renv environment for reproducibility Install required CRAN/Bioconductor packages Generate analysis scripts Data loading and cleaning Statistical analysis or modeling Visualization with ggplot2 Save outputs (CSV, plots, model summaries) Create a report R Markdown / Quarto document Includes methods, results, and figures Render to HTML or PDF
Example User Requests That Should Trigger This Skill
"Use R to analyze this CSV and generate plots" "Run differential expression analysis in R" "Create a statistical report for this dataset" "Build an R project for microbiome analysis" "Fit a regression model in R and summarize results"
Example Workflow
User: Analyze this gene expression dataset and produce figures. Skill actions: Create project structure Install tidyverse, DESeq2, ggplot2 Write analysis script Generate PCA plot and volcano plot Produce an HTML report
Tools & Packages Commonly Used
PurposeR PackagesData wranglingtidyverse, data.tableVisualizationggplot2, patchworkStatisticsstats, lme4, survivalBioinformaticsBioconductor packages (DESeq2, edgeR, limma)Reportingrmarkdown, quartoReproducibilityrenv
Notes
Prefer reproducible workflows (renv, scripted analysis) Avoid interactive-only steps unless requested All outputs should be saved to files, not just printed to console
Category context
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Docs1 Files
- SKILL.md
- examples/README.md
- README.md
- examples/demo-analysis/data/raw/sample_data.csv