Skill UI

This tool serves as an interactive, step-by-step installer for the Everything Claude Code (ECC) framework. It guides users in selecting and installing complex development skills (covering patterns for Django, Spring Boot, Python, Go, etc.) and standardized rulesets (e.g., common best practices, language-specific guides). It ensures the correct setup, validation, and optimization of the development environment for both user and project levels.

An advanced system that analyzes coding sessions via hooks to extract atomic, confidence-scored behaviors called "instincts." It tracks patterns, allowing users to evolve these instincts into comprehensive skills, commands, or agents. V2.1 introduces project-scoped learning, preventing knowledge contamination between different codebases and improving development workflow efficiency.

A high-performance utility for executing simple, deterministic code transformations (e.g., removing console logs, converting var to const). This engine leverages a WASM core to perform structural refactoring sub-millisecond, without calling any expensive LLM APIs. Ideal for CI/CD pipelines, automated bulk refactoring, and cost-sensitive development workflows where determinism and speed are paramount.

This tool scaffolds a new Claude Code plugin from scratch, generating a standardized directory structure that meets all architectural requirements. It automatically creates necessary components, including plugin.json, skills, commands, agents, ADR documentation, and smoke tests, ensuring a robust and compliant plugin development environment.

This comprehensive tool guides developers through the entire plugin ecosystem, helping them find and recommend the optimal plugins for any given workflow or task. It covers core coordination, multi-agent collaboration, advanced memory management (Vector DB, RAG), architectural design (ADR/DDD), security auditing, and modern development methodologies. Use it when starting a new project or optimizing existing development pipelines.

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.

A comprehensive guide to best practices for using Docker and Docker Compose. It covers setting up standard web stacks for local development, designing multi-container architectures, secure Dockerfile practices (multi-stage builds, non-root users), advanced networking strategies, and volume management for persistence. Essential for migrating to robust, containerized workflows.

This comprehensive guide covers idiomatic C# and modern .NET best practices for building robust, high-performance, and maintainable applications. Topics include immutability, dependency injection, explicit coding, proper async/await usage, the Options pattern, and the Result pattern. Essential reading for developers designing services with ASP.NET Core.

A specialized audit skill designed to identify and quantify resource leakage, excessive costs, and billing vulnerabilities within complex development tool workflows (e.g., GitHub Apps). It traces webhook events, queue processing, and model calls to pinpoint where token burn or unauthorized resource usage is occurring, ensuring cost efficiency and clean billing practices.

A comprehensive resource providing codified expertise for managing complex energy portfolios for large commercial and industrial (C&I) consumers. Covers electricity and gas procurement, tariff structure analysis (TOU, RTP), demand charge mitigation, PPA evaluation, and multi-site energy strategy development. Ideal for optimizing utility spending, understanding complex utility bills, and building resilient, sustainable energy supply chains.

A formal framework designed for evaluating AI-assisted code generation sessions. It implements Development Oriented Evals (EDD) principles, allowing users to define capability and regression criteria. The system supports multiple evaluation types—code-based, model-based, and human review—and tracks reliability using advanced metrics like pass@k, ensuring robust quality control for AI agents.