Skill UI

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.

A deterministic 'Stop hook' designed to enforce session hygiene for AI agents. It checks machine-verifiable facts such as file modification timestamps of learning logs, disk space, and predefined rationalization patterns. This gate ensures that complex tasks lead to captured knowledge, acting as a mechanical safeguard complementing AI self-auditing.

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 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.

A powerful tool for creating professional, animation-rich, and zero-dependency HTML presentations. It supports generating pitch decks, workshop materials, or internal talks from scratch, or converting existing .ppt/.pptx files. The system ensures mandatory viewport fitting, responsiveness across all devices, and includes advanced features like keyboard/touch navigation and reveal animations, resulting in production-quality, modern web presentations.

GateGuard is a mandatory pre-tool-use hook designed to significantly enhance the reliability and safety of LLM-generated code and actions. Instead of relying on self-evaluation, it forces the model to perform concrete, verifiable investigations—such as listing all imported files, checking data schemas, or detailing rollback procedures—before any write or destructive command execution. It establishes a three-stage gate (Deny, Force, Allow) to prevent hallucination and ensure context awareness in complex coding environments.

This expert skill guides the creation of commercial-grade, highly optimized, and professional Windows installers for Python applications. It leverages Nuitka for extreme compilation (LTO, slimming, 32/64-bit selection) and Inno Setup for robust packaging. The goal is to deliver the smallest size, fastest startup time, and a residue-free user experience, strictly avoiding basic single-file builds. Ideal for professional software deployment.

This skill guides the operation, consolidation, and maintenance of complex working systems within Google Workspace (Docs, Sheets, Slides). It emphasizes treating files as integrated systems—such as trackers or planning hubs—requiring careful inspection, precise edits, and structural cleanup rather than simple content rewriting. Use it for consolidating scattered data, cleaning shared spreadsheets, or ensuring the correct canonical version of a document is utilized.

Performs a pure, read-only static security scan of a harness's declared MCP surfaces. It analyzes policy, permission, and dependency issues by reading manifest files (e.g., .mcp/servers.json and .harness/claims.json) without executing any underlying tools. Designed for integration into CI/CD pipelines to enforce security policies and ensure compliance.

Hookify rules enable developers to define custom, event-driven workflows using Markdown files with YAML frontmatter. These rules monitor specific operational events (such as bash commands, file edits, or user prompts) and can trigger warnings or block operations when predefined regex patterns are matched. They are essential for enforcing coding standards, preventing dangerous operations, and guiding development adherence in complex software environments.

This skill analyzes existing legacy codebases to detect implicit coding conventions across four meta-architectural dimensions (File Anatomy, State & Control Flow, Infrastructure, Error Handling). It resolves conflicts one by one with the user, generating a structured rules file (.ai-style-rules.md) and optionally installing persistent hooks to prevent AI-generated code style drift in future development.

This robust tool extracts structured entities (classes, functions, modules, types, concepts) and their complex relationships (imports, inheritance, calls) directly from source code files. It builds a comprehensive and weighted knowledge graph stored within AgentDB. Ideal for deep codebase analysis, dependency tracking, and impact assessment in large software projects.