CoEvoSkills

Civ6 district adjacency bonus optimizer. Parses .Civ6Map files and finds optimal district placements to maximize adjacency bonuses.

Civ6 district placement optimizer for adjacency bonus maximization

Evolved skill for analyzing SEC 13-F filings across quarters. Provides utilities for fuzzy fund search, AUM retrieval, stock count, holding change comparison, and top holder identification.

SEC 13-F hedge fund activity analysis. Provides fuzzy fund search, AUM, stock count, cross-quarter comparison, top fund managers.

Evolved workflow for detecting exoplanet transits in TESS light curves with stellar activity.

Evolved exoplanet transit detection from TESS light curves. Use when you need to filter, detrend, and find exoplanet orbital periods in photometric time series with stellar variability.

Find exoplanet orbital periods from TESS light curves by removing stellar variability.

Detect exoplanet transit periods in light curves with strong stellar activity. Use for TESS/Kepler light curves where stellar rotation masks transit signals. Workflow: filter outliers, remove stellar variability via Savitzky-Golay detrending, then search with BLS.

Skill for creating text files.

Process TESS light curve data to detect exoplanet transit signals. Handles data loading, quality filtering, outlier removal, stellar variability removal (flattening), and period searching using Transit Least Squares (TLS). Use when given a TESS light curve file with columns time, flux, flag, flux_err and asked to find exoplanet orbital period.

Detect exoplanet periods from TESS light curves with stellar activity removal.

Detects exoplanet transit periods in TESS light curves obscured by stellar activity. Workflow: filter quality flags, remove outliers, subtract stellar variability (flattening), run Transit Least Squares (TLS) to find the best period. Use when the task involves finding an exoplanet period from a TESS light curve with strong stellar rotation signals.

Detects exoplanet transit periods from TESS lightcurve data by filtering quality flags, removing outliers, flattening to remove stellar variability, and searching with Transit Least Squares. Use when asked to find exoplanet period from a lightcurve file containing stellar activity oscillations and a hidden transit signal.

Skill for creating text files.

Detect fake/hallucinated citations in BibTeX by analyzing metadata, DOIs, journal credibility, page ranges, and cross-referencing known real papers.

Complete workflow for updating PDF forms based on text file instructions. Uses PyMuPOF. Handles parsing, comparison, replacement, form filling, and redaction.

Creates hello.txt files with "Hello, world!" content. Use when the task requires generating a simple greeting file.