exoplanet-workflows
CommunityExoplanet workflows from light curves.
AuthorKaiserWhoLearns
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Help researchers plan and execute exoplanet detection workflows from light curve data, reducing guesswork and enabling repeatable analyses.
Core Features & Use Cases
- Guidance on selecting data loading, preprocessing, period-search, and validation steps for exoplanet pipelines.
- Decision framework to choose tls, lomb-scargle, or bls based on signal type and data quality.
- Troubleshooting tips for common issues like data gaps, noise, and aliasing, plus guidance for end-to-end pipeline design.
Quick Start
Plan an exoplanet detection workflow for a given light-curve dataset and suggest appropriate algorithms.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: exoplanet-workflows Download link: https://github.com/KaiserWhoLearns/skillsbench/archive/main.zip#exoplanet-workflows Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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