light-curve-preprocessing
Preprocessing and cleaning astronomical light curves using Lightkurve. Tools for outlier removal, flattening, trend detrending, and quality flag handling for time-series analysis.
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308 skills found
Preprocessing and cleaning astronomical light curves using Lightkurve. Tools for outlier removal, flattening, trend detrending, and quality flag handling for time-series analysis.
A design-focused coding agent that brings world-class interface craft, motion, and systematic front-end engineering to your development workflow.
Enforce strict code quality, correctness, and Rust design patterns for the Turso database, prioritizing data integrity, performance, and maintainable, idiomatic code.
Full-stack application orchestrator that analyzes natural language requests to determine tech stacks, scaffold projects, and coordinate specialized development agents.
Systematic performance engineering: baseline measurement, profiling, bottleneck diagnosis, and evidence-based optimization guidance for high-performance applications.
Safely execute, test, and verify commands discovered in documentation with real output capture, performance tracking, and git-aware safety protocols.
Profiles application performance using k6, Artillery, or JMeter to measure latency, throughput, and error rates. Ideal for planning load, stress, and soak tests to identify bottlenecks.
Analyze periodic signals in unevenly sampled astronomical time series data using the Lomb-Scargle periodogram method with the lightkurve library.
Create, debug, and optimize Cloudflare Durable Objects. Supports stateful coordination, RPC, SQLite storage, WebSocket handlers, and Vitest testing.
Manage Neovim configurations, plugin ecosystems, and custom reproducible builds.
Classify and group meteorological and environmental variables into specific driver categories for consistent attribution analysis and environmental modeling.
Structured AI-guided research and market validation for new app ideas. Automates competitor analysis, technical feasibility, and MVP scoping.