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.
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →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
Generate MSIX packaging configuration with manifest, assets, and signing for Windows applications
Generate NSIS installer scripts for Windows with custom UI and features
Configure Playwright for comprehensive Electron application testing including E2E tests, visual regression, accessibility audits, and cross-platform test matrices
Generate CMake-based Qt project with proper module dependencies, cross-compilation support, and modern Qt6 configuration
Configure Qt Installer Framework for cross-platform installers with component management, online updates, and custom UI
Generate QML components with proper property bindings, signal/slot connections, and Qt Quick Controls integration
Generate Qt Test fixtures with mock QObject signals and slots, data-driven tests, and GUI testing setup
Generate RPM spec files for Fedora, RHEL, and CentOS distributions