Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Work inside an existing R project to extend analyses, modify scripts, run statistical models, update visualizations, and regenerate reports.
Work inside an existing R project to extend analyses, modify scripts, run statistical models, update visualizations, and regenerate reports.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
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.
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.
This skill operates inside an already structured R project. It helps extend, debug, or enhance existing analyses without recreating the project from scratch. Use this skill when the user wants to: Continue analysis in an existing R project Modify or extend R scripts Add new statistical models or tests Update plots or figures Regenerate reports after data or code changes Debug R errors in a project
When activated, this skill will: Understand the project structure Detect folders like data/, scripts/, results/, reports/ Identify .Rproj, .Rmd, .qmd, or .R files Inspect existing analysis Read current scripts and reports Identify which packages and methods are being used Avoid rewriting working components unnecessarily Extend or modify analysis Add new models or statistical tests Introduce new plots using ggplot2 Add new data processing steps Improve code structure or reproducibility Re-run and update outputs Recompute results Overwrite or version new outputs in results/ Re-render R Markdown or Quarto reports Debug issues Fix missing packages Resolve file path problems Handle common R errors and warnings
"Add a survival analysis to this R project" "Update the plots in my report" "This R Markdown file throws an error, fix it" "Extend this analysis with a mixed-effects model" "Re-run everything after I updated the data"
User: Add a logistic regression model and update the report. Skill actions: Locate main analysis script Add logistic regression using glm() Save model summary to results/ Update report with new section and plot Re-render HTML/PDF report
PurposeR PackagesData wranglingtidyverse, dplyrModelingstats, lme4, glmnetVisualizationggplot2Reportingrmarkdown, quartoProject managementhere, renv
Respect the existing project structure and style Do not delete user code unless explicitly requested Prefer incremental updates over full rewrites Always regenerate reports after modifying analysis
Data access, storage, extraction, analysis, reporting, and insight generation.
Largest current source with strong distribution and engagement signals.