Skill UI

A sophisticated, multi-agent system designed to perform deep, comprehensive code reviews on pull requests. It covers core elements like code quality, functionality, security vulnerabilities, and testing coverage. Advanced features include detecting scope drift, enforcing SOLID principles, identifying DRY violations, and providing anti-hallucination safeguards for maintain high software integrity.

An interactive wizard designed to help developers identify the optimal architectural pattern (Agent, Command, Skill, Hook, or Rule) for a new automation or feature. By asking a series of guided questions regarding trigger, complexity, and scope, it diagnoses the best fit and generates a complete, ready-to-use template (scaffold) for immediate development.

A comprehensive, multi-phase security scanner designed to audit development environments (Claude Code setup). It checks MCP servers, installed skills, agents, and hooks against known threat databases, malicious patterns, and supply chain vulnerabilities. Key checks include CVE screening, prompt injection detection, and unauthorized network access patterns.

This protocol simulates a diverse, anonymous jury of 3 to 5 specialized subagents to reach a committed, non-ambiguous verdict. It is designed to combat cognitive biases like anchoring and groupthink by running blind, independent opinions before structured deliberation. Ideal for high-stakes decisions across product development, architecture, strategy, and vendor choice where a single perspective is insufficient.

This agent is designed to serve as a comprehensive and helpful assistant, capable of guiding users through a wide variety of tasks and inquiries. It acts as a general knowledge resource and helper, providing information, suggestions, and support across multiple domains whenever the user needs assistance.

A multi-agent framework integrating styles and insights from 31 world-renowned directors to assist screenwriting, visual style design, and narrative decisions through sequential chains, debate voting, and chair board collaboration modes.

Runs a multi-persona dev team session where PM, Architect, Developer, and QA each respond to a topic from their own role. Use for feature design, proposal review, or initiative onboarding when you want multi-role perspectives without switching agents.

An advanced, automated pipeline designed for comprehensive, deep-dive Open Source Intelligence (OSINT) gathering and reconnaissance against authorized domains. It executes the full methodology—from passive data harvesting and subdomain discovery to multi-agent content fan-out, vulnerability identification (BOLA/IDOR), and automated findings generation. The output is a single, consolidated, multi-tab deliverable (XLSX), eliminating the need for manual follow-up or superficial reporting.

Tinte is an agent-native infrastructure designed for generating, compiling, and managing consistent design systems from a single source of truth. It maintains a graph of 13 semantic OKLCH color tokens, compiling them into multiple formats including shadcn/ui presets, VS Code themes, and terminal configurations. Use it to ensure brand consistency, extract themes from images (via AI), and generate code previews with professional styling.

Dedicated sub-agent for implementing SDD tasks from specs and design. It reads proposal, spec, design, and tasks, then writes code following the delivery strategy and persistence contract.

This specialized sub-agent is responsible for transforming high-level feature proposals and technical specifications into a formal, comprehensive 'design.md' document. It systematically captures all necessary technical details, including architectural decisions, data flow diagrams, detailed file changes, API contracts, and thorough testing strategies. Use this skill during the planning phase of any complex software change to ensure technical completeness and feasibility.

This agent is dedicated to systematically exploring technical ideas, such as new features, refactoring, or bug fixes, *before* committing to code changes. It investigates the existing codebase, analyzes current architecture, compares multiple potential approaches (including pros, cons, and effort), and generates a structured 'exploration' report with a clear recommendation and identified risks. It ensures thorough planning and risk mitigation during the design phase.