Orchestrate strangler fig pattern implementation for gradual migration with traffic routing and cutover management

Measure, categorize, and prioritize technical debt for migration planning and remediation

Analyze test coverage and identify gaps before migration to ensure adequate safety nets

Migrate UI components between frameworks with structure, state, and style transformation

Security vulnerability scanning for dependencies and code, with CVE database checking and risk assessment

Expert usage of Foundry (Forge, Cast, Anvil, Chisel) for smart contract development, testing, and deployment. Includes fuzzing, gas reporting, local development, and deployment scripting capabilities.

Advanced gas optimization techniques for EVM smart contracts. Covers storage packing, memory vs calldata optimization, assembly/Yul, efficient data structures, batch operations, and benchmark-driven optimization strategies.

Expert usage of Hardhat for smart contract development, testing, and deployment. Includes TypeChain generation, plugin ecosystem, network forking, and deployment management.

Expert integration with Slither static analyzer for smart contract vulnerability detection, code quality analysis, and security reporting. Supports all Slither detectors and custom analysis configurations.

Zero-knowledge circuit development using Circom and Noir languages. Supports constraint optimization, ZK-friendly cryptographic primitives, proof generation (Groth16, PLONK), and Merkle tree implementations.

Performs statistical analysis for A/B testing experiments

Analyzes, validates, and optimizes Apache Airflow DAGs for reliability, performance, and best practices adherence.

Analyzes and optimizes Apache Spark jobs for performance, cost, and resource utilization

Generates semantic layer definitions for BI tools from dimensional models

Analyzes and optimizes costs for cloud data platforms

Extracts and maps data lineage from various sources including SQL, dbt, Airflow, and Spark, generating comprehensive lineage graphs for impact analysis.

Profiles data assets to assess quality dimensions, detect anomalies, and generate comprehensive data quality reports with actionable recommendations.

Analyzes dbt projects for best practices, performance, maintainability, and generates actionable recommendations for improvement.

Optimizes feature engineering pipelines and feature store configurations

Generates Great Expectations suites from data profiles and business rules

Selects and configures optimal incremental model strategies

Designs and optimizes Apache Kafka topics and configurations

Designs and optimizes One Big Table (OBT) patterns

Generates Slowly Changing Dimension implementations across platforms

Analyzes and optimizes SQL queries across different data warehouse platforms (Snowflake, BigQuery, Redshift, Databricks) with platform-specific recommendations.

Arize AI skill for production ML monitoring, embedding drift, and performance analysis.

Data quality validation skill using Great Expectations for schema validation, expectation suites, data documentation, and automated data quality checks in ML pipelines.

Model documentation skill for generating model cards following Google's model card framework.

Optuna integration skill for automated hyperparameter optimization with advanced search strategies, pruning, multi-objective optimization, and visualization capabilities.

Automated DataFrame analysis skill for statistical summaries, missing value detection, data type inference, and memory optimization recommendations.

ML-specific testing skill using pytest with fixtures for data, models, and predictions.

Seldon Core deployment skill for model serving, A/B testing, and canary deployments on Kubernetes.

WhyLabs integration skill for ML observability, profile logging, and anomaly detection.

Run accessibility audits with axe-core and screen reader testing for desktop applications

Generate NSMenu and NSStatusItem configurations for macOS menu bar applications

Analyze and optimize application bundle size for desktop applications

Generate CI test matrix for Windows, macOS, and Linux combinations

Generate and validate electron-builder configuration for multi-platform desktop builds with code signing, auto-update, and platform-specific packaging

Generate secure main process and preload script boilerplate with proper context isolation, IPC patterns, and security best practices for Electron applications

Profile Electron app memory usage, detect leaks, analyze renderer process memory, and optimize memory consumption

Generate mocks for Electron APIs (ipcMain, ipcRenderer, dialog, etc.) for unit testing

Generate system tray and context menu configurations with platform-specific icons, menu templates, and event handling

Validate EV code signing certificate chain and timestamp for Windows SmartScreen

Generate Flatpak manifest with proper permissions and sandboxing

Implement GDPR-compliant consent management for desktop applications

Register and manage global keyboard shortcuts across desktop platforms

Generate entitlements.plist with appropriate sandbox capabilities for macOS applications

Configure Sparkle framework for macOS auto-updates with appcast, delta updates, and code signing

Generate .NET MAUI project with platform-specific handlers for desktop and mobile

Detect memory leaks in desktop applications through heap analysis and object tracking