Skill UI

This tool provides a granular, per-message cost breakdown within a single conversation session. It serves as a deep-dive utility following an anomaly detection, allowing operators to pinpoint exactly which messages incurred the highest costs. It reveals critical cost components like output tokens, cache writes, and model escalations, helping users understand the true resource consumption beyond simple token counts.

This tool scaffolds a complete, canonical directory structure for creating new Claude Code plugins. It automatically generates necessary files like plugin.json, skill definitions (SKILL.md), command files, agent files, and comprehensive documentation (ADRs, README). Use it when you need to build a plugin that extends Claude Code's capabilities with custom skills, commands, and agents, ensuring adherence to the latest architectural standards.

A comprehensive guide to idiomatic and robust Dart/Flutter patterns. Covers essential topics including null safety, immutable state management (Freezed), advanced state solutions (BLoC, Riverpod, Provider), reactive routing with GoRouter, secure networking using Dio, and implementing Clean Architecture principles. Ideal for setting up new, scalable Flutter projects.

A comprehensive methodology for accelerating large-scale data ingestion, ETL processes, backfilling, and data warehouse loading. It guides users in identifying and optimizing bottlenecks—such as source extraction, network transfer, and loading speed—while strictly ensuring data correctness and maintaining clear accounting checkpoints throughout the pipeline.

Automates the scaffolding of a complete Aggregate Root structure following Domain-Driven Design (DDD) principles. It generates necessary boilerplate files including the core entity, immutable value objects, repository interface, domain events, and unit test stubs within a specified bounded context. This tool is essential for modeling new business concepts or extending existing domain models while maintaining strong architectural integrity.

This tool scaffolds a complete directory structure for a new Domain-Driven Design (DDD) Bounded Context. It automatically generates the standard layout, including `domain`, `application`, and `infrastructure` layers, and populates index files for clean module exports. Ideal for starting new microservices, splitting monoliths, or structuring fresh modules.

This tool validates the structural integrity of a Domain-Driven Design (DDD) codebase. It automatically detects cross-context import violations, checks for broken aggregate invariant enforcement, and verifies adherence to established patterns (like repository and event naming conventions). Essential for CI/CD gates and large-scale codebase auditing to prevent architectural leakage.

This tool scans project dependencies to detect known Common Vulnerabilities and Exposures (CVEs) and outdated packages. It is essential for security auditing of third-party packages, mandatory before major releases, or immediately after dependency updates. It helps teams assess risk levels (critical, high, moderate) and can even attempt automatic fixes via the CLI.

This guide outlines the architecture and implementation steps for building a robust, production-ready design system. It covers core elements like design tokens, reusable components, and layout patterns. Ideal for teams needing to maintain design consistency, ensure accessibility, and synchronize design (Figma) with implementation (Storybook).

This guide outlines best practices for building scalable and maintainable Django applications and APIs. It covers recommended project layouts, implementing separated configuration files (dev/prod), advanced ORM techniques, and integrating middlewares, caching, and signals for enterprise-level robustness. Ideal for professional backend development.

A comprehensive guide to implementing Test-Driven Development (TDD) for Django projects. This skill covers the full Red-Green-Refactor cycle, utilizing pytest, pytest-django, and factory_boy to write robust unit and integration tests for Django models, views, and DRF APIs. Essential for developers aiming to build large-scale, high-quality Python applications.

This script provides a comprehensive, multi-stage verification loop for Django applications. It ensures deployment readiness by checking environment configuration, enforcing code quality (type hinting, formatting), running extensive unit and integration tests with coverage reports, and performing deep security scans for vulnerabilities and hardcoded secrets. Essential for CI/CD pipelines before merging or releasing.