Agent Skills Hub

transit-least-squares

Transit Least Squares (TLS) algorithm for detecting exoplanet transits in light curve data, offering higher sensitivity than Lomb-Scargle for transit-shaped signals.

test-reporting-analytics

Advanced QE reporting, quality dashboards, and predictive analytics for test metrics, code coverage, and deployment readiness to drive data-informed quality decisions.

pymc

Bayesian modeling and probabilistic programming with PyMC. Build hierarchical models, perform MCMC sampling (NUTS), variational inference, and conduct rigorous model comparison using LOO and WAIC.

migrate-postgres-tables-to-hypertables

Migrate standard PostgreSQL tables to TimescaleDB hypertables with optimized partitioning, chunking, and compression strategies for time-series data.

dependency-analysis

Analyze Kubernetes controller code to generate contract-compliant dependency graph artifacts for the Kamera coverage strategy.

retro

Weekly engineering retrospective tool that analyzes commit history, coding patterns, and quality metrics with automated session detection and trend tracking.

pattern-detection

Analyze and identify codebase patterns (naming, architecture, testing) to maintain consistency and enforce standards during development.

data-viz-plots

Create publication-quality plots and visualizations using matplotlib and seaborn. Works locally with any LLM.

ziwei-iztro-reader

Ziwei Doushu charting and layered interpretation engine. Analyzes natal, yearly, monthly, and daily horoscopes using structured data, offering systematic, evidence-based astrological insights.

variant-analysis

Find similar vulnerabilities and bugs across codebases using pattern-based analysis. Use when hunting bug variants, building CodeQL/Semgrep queries, or performing systematic code audits.

constant-time-analysis

Detects timing side-channel vulnerabilities in cryptographic code through static and dynamic analysis across multiple programming languages.

data-visualization

Create professional data visualizations with Python using matplotlib, seaborn, and plotly. Includes chart selection guidance, design principles, accessibility standards, and code patterns for publication-quality figures.