root-data-analyzer
ROOT/CERN data analysis skill for high-energy physics data processing, histogramming, and statistical analysis
Profile →npx skills add a5c-ai/babysitter --skill root-data-analyzer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# ROOT Data Analyzer ## Purpose Provides expert guidance on ROOT data analysis for high-energy physics, including TTree manipulation, histogram fitting, and statistical modeling with RooFit. ## Capabilities - TTree/TChain manipulation - Histogram creation and fitting - RooFit statistical modeling - TCanvas visualization - ROOT macro development - PyROOT integration ## Usage Guidelines 1. **Data Access**: Use TTree and TChain for efficient data access 2. **Histogramming**: Create and fill histograms with proper binning 3. **Fitting**: Use RooFit for advanced statistical modeling 4. **Visualization**: Create publication-quality plots with TCanvas 5. **Python Integration**: Use PyROOT for Python-based analysis ## Tools/Libraries - ROOT - RooFit - RooStats - uproot
- Purpose
- Capabilities
- Usage Guidelines
- Tools/Libraries
What does the root-data-analyzer skill do?
ROOT/CERN data analysis skill for high-energy physics data processing, histogramming, and statistical analysis
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill root-data-analyzer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.