Loading...
Loading...
Found 838 Skills
Refactor Scikit-learn and machine learning code to improve maintainability, reproducibility, and adherence to best practices. This skill transforms working ML code into production-ready pipelines that prevent data leakage and ensure reproducible results. It addresses preprocessing outside pipelines, missing random_state parameters, improper cross-validation, and custom transformers not following sklearn API conventions. Implements proper Pipeline and ColumnTransformer patterns, systematic hyperparameter tuning, and appropriate evaluation metrics.
Gate 1: Business requirements document - defines WHAT/WHY before HOW. Creates PRD with problem definition, user stories, success metrics.
Consistent Nova resources—fields, actions, metrics, lenses, filters, authorization—and how to evolve resources alongside schema changes
Python OpenTelemetry style: module-scope tracers/meters, decorators for bounded work, error spans, logs, and no wrappers.
Vendor-neutral skill to check a KPI dictionary for conflicting definitions, grain mismatches, and missing ownership.
Use when managing perf baselines, consolidating results, or comparing versions. Ensures one baseline JSON per version.
Implement comprehensive observability for Guidewire InsuranceSuite including logging, metrics, tracing, and alerting. Trigger with phrases like "guidewire monitoring", "logging guidewire", "metrics", "observability", "alerting", "dashboards guidewire".
Instrument an existing codebase with LaunchDarkly config tracking. Walks the four-tier ladder (managed runner → provider package → custom extractor + trackMetricsOf → raw manual) and picks the lowest-ceremony option that still captures duration, tokens, and success/error.
Analyze and explore codebases using Repomix CLI. Use when: analyzing repositories, exploring code structure, finding patterns. Triggers on: 'analyze this repo', 'explore codebase', 'what's the structure'.
Metrics framework for monitoring engagement, progression, and completion.