Root data analyzer
Skill a5c-ai/babysitter/library/specializations/domains/science/physics/skills/root-data-analyzer
Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration
npx -y skills add a5c-ai/babysitter --skill root-data-analyzerAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
Copied from the file, not written here
ROOT/CERN data analysis skill for high-energy physics data processing, histogramming, and statistical analysis
SKILL.md
1.3 KB, as published. Nobody here has run it
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
- Data Access: Use TTree and TChain for efficient data access
- Histogramming: Create and fill histograms with proper binning
- Fitting: Use RooFit for advanced statistical modeling
- Visualization: Create publication-quality plots with TCanvas
- Python Integration: Use PyROOT for Python-based analysis
Tools/Libraries
- ROOT
- RooFit
- RooStats
- uproot