Skill UI

This comprehensive wizard guides users through setting up various AI agent clients (e.g., Claude Code, Codex, CodeBuddy) to connect with a Memory Proxy. It handles configuration scanning, gathering necessary credentials (Proxy URL, User Key), selecting the specific agent, and validating connectivity via live API health checks for multiple protocols (Anthropic, OpenAI, etc.) before writing the final configuration.

This skill automates the final deployment phase of an agent system. It converts a validated build sheet into four ordered JSON payloads (environment, agent, session, kickoff) and generates a resumable `launch.sh` script. Crucially, this process enforces API-key safety by requiring the user to run the script in their shell, pulling the Anthropic API key from the environment variable, thus ensuring the key never appears in logs or files. It provides a structured, multi-step launch sequence.

Guides the proper setup of materials and lighting in three.js to achieve photorealistic rendering. Covers selecting between physically based rendering (PBR) materials like MeshStandardMaterial and unlit alternatives, implementing multiple light sources (directional, ambient, point), enabling robust shadow maps, and utilizing environment maps (IBL) for accurate reflections. Essential for when models appear flat or incorrect.

Propose labels and categorize GitHub issues for maintainers without direct edits. Checks duplicates, verifies bug info, and drafts comments based on repository rules. Optimizes issue management workflow for googleapis/mcp-toolbox.

Master the technical foundation of gameplay programming in Unreal Engine 5 using C++. This skill covers essential concepts such as reflection macros (UCLASS, UPROPERTY, UFUNCTION), understanding the core Gameplay Framework roles (Pawn, Character, GameMode), and correctly structuring module dependencies using Build.cs. Use this when writing low-level game logic, exposing C++ features to Blueprints, or integrating custom systems into the Unreal ecosystem.

A comprehensive guide detailing how to transform an Unreal Engine 5 project into a runnable, distributable build. It covers all aspects of the build pipeline, including selecting appropriate configurations (Development vs. Shipping), cooking content, setting the game default map, and executing the build via both the editor GUI and the command line (RunUAT BuildCookRun). Essential for releasing stable, optimized games.

This documentation serves as a catalog for integrating various AI powerups and structured features into administrative web panels. It guides developers on locating and correctly importing specific abstractions, such as `GetSettingsFeature`, ensuring type safety and proper implementation when extending system capabilities.

This document defines the critical architectural contract for standardizing advisory transport across diverse AI code review runtimes (e.g., Claude Code, OpenCode, Codex). It mandates that all integrations adhere to a shared Go contract, governing how review results, evidence, and validation are processed. This is essential for ensuring system integrity, managing architectural transitions, and preventing the creation of isolated, proprietary review systems.

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.

A sub-agent skill that turns exploration findings or user input into a structured SDD change proposal, covering intent, scope, capabilities, approach, risks, and success criteria. Persists proposal.md via engram, openspec, or hybrid storage.

This sub-agent is specialized in generating precise delta specifications (delta specs). It analyzes a given proposal to identify added, modified, or removed system behaviors, creating structured requirements and scenarios to document the proposed changes accurately. It follows defined conventions for persistence across various artifact storage modes (Engram, OpenSpec, Hybrid).