Agent Skills Hub

geospatial-analysis

Analyze geospatial data using GeoPandas with proper coordinate projections for accurate distance, filtering, and spatial relationship calculations.

explaining-code

Explains code using visual diagrams, relatable analogies, step-by-step walkthroughs, and common pitfalls.

meteorology-driver-classification

Classify and group meteorological and environmental variables into specific driver categories for consistent attribution analysis and environmental modeling.

java

Java development skill for writing clean, maintainable code using SOLID principles, pragmatic abstraction, and self-documenting practices.

identify-assumptions-existing

Stress-test existing product feature ideas by identifying risky assumptions across Value, Usability, Viability, and Feasibility using a multi-perspective devil's advocate framework.

stable-baselines3

Production-ready reinforcement learning using Stable Baselines3. Train agents, design custom environments, implement training callbacks, and optimize workflows with a scikit-learn-style API.

ring:dev-sre

Gate 2 development cycle skill that validates observability implementation, including structured logging, OpenTelemetry tracing, and instrumentation coverage, without modifying code.

box-least-squares

BLS periodogram tool for detecting transiting exoplanets and eclipsing binaries in photometric light curves. An astropy-based implementation for period, duration, and depth analysis.

sync-readme

Synchronize English README.md with Chinese README_ZH.md, maintaining content parity and structural consistency for bilingual documentation projects.

risk-based-testing

Focus testing effort on highest-risk areas using risk assessment and prioritization. Use when planning test strategy, allocating resources, or making coverage decisions.

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.

writing-go-tests

Applies current Go testing best practices, including concurrent testing, mocking, and table-driven design for robust software development.