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Found 149 Skills
Track ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collaborative MLOps platform
Expert automation engineer specializing in workflow automation, RPA, scripting, and process optimization.
Evaluate pricing changes using financial impact analysis - ARPU/ARPA, conversion, churn risk, NRR, and payback. Recommends go/no-go on pricing decisions.
Design and implement straight-through processing and operational automation for securities operations. Use when measuring STP rates and identifying manual touchpoints in an existing process, replacing review-all workflows with exception-based processing, selecting automation patterns for account opening trade processing settlement reconciliation or billing, designing integration between portfolio management custodian CRM and order management systems, building exception queuing categorization and auto-resolution workflows, evaluating RPA vs API-based vs hybrid automation for legacy systems, establishing operational controls and audit trails for automated environments, conducting process mining or root cause analysis on exception volumes, or setting STP rate targets and continuous improvement programs.
Use when "experiment tracking", "MLflow", "Weights & Biases", "wandb", "model registry", "hyperparameter logging", "ML experiments", "training metrics"
Analyze a Karpathy-pattern LLM wiki knowledge base and generate an interactive knowledge graph with entity extraction, implicit relationships, and topic clustering.
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.
Use this skill when when asked to read an arxiv paper given an arxiv URL
Set up Playwright end-to-end testing in a project, including test configuration, example tests, and CI integration.
Translate A/B test lift percentages into annualized dollar projections. Shows conservative and optimistic revenue impact, break-even analysis, and opportunity cost of waiting.
Platform abstraction decision-making for Amethyst KMP project. Guides when to abstract vs keep platform-specific, source set placement (commonMain, jvmAndroid, platform-specific), expect/actual patterns. Covers primary targets (Android, JVM/Desktop, iOS) with web/wasm future considerations. Integrates with gradle-expert for dependency issues. Triggers on: abstraction decisions ("should I share this?"), source set placement questions, expect/actual creation, build.gradle.kts work, incorrect placement detection, KMP dependency suggestions.
Guide for building custom React components using Fluent UI v9 base state hooks and render functions. Use when asked to: create a component based on FluentUI headless hooks, build a custom component using Fluent UI base state hooks, create a component with custom styling that reuses Fluent UI accessibility behavior, implement a component using render{Component}_unstable and use{Component}Base_unstable, or consume @fluentui/react-button/@fluentui/react-tabs/etc. without Fluent 2 visual design.