ag-kit

Automatic agent selection and intelligent task routing. Analyzes user requests and automatically selects the best specialist agent(s) without requiring explicit user mentions.

Internationalization and localization patterns. Detecting hardcoded strings, managing translations, locale files, RTL support.

Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).

Web browser game development principles. Framework selection, WebGPU, optimization, PWA.

VR/AR development principles. Comfort, interaction, performance requirements.

PC and console game development principles. Engine selection, platform features, optimization strategies.

Multiplayer game development principles. Architecture, networking, synchronization.

Mobile game development principles. Touch input, battery, performance, app stores.

Game design principles. GDD structure, balancing, player psychology, progression.

Game audio principles. Sound design, music integration, adaptive audio systems.

Game art principles. Visual style selection, asset pipeline, animation workflow.

Game development orchestrator. Routes to platform-specific skills based on project needs.

3D game development principles. Rendering, shaders, physics, cameras.

2D game development principles. Sprites, tilemaps, physics, camera.

Anti-slop frontend design for web UI — landing pages, portfolios, marketing/product sites, and redesigns. Reads the brief, infers the right direction, and ships interfaces that don't look templated. Real design systems when applicable, audit-first on redesigns, strict pre-flight check. NOT for mobile apps.

How to organize frontend code — separation of concerns (UI / logic / data / type), file responsibility, state tiers, API services, schema validation, and framework conventions for React/Next and Vue. Structural rules, not visual design.

Documentation templates and structure guidelines. README, API docs, code comments, and AI-friendly documentation.

How to author a DESIGN.md file — the machine-readable design-token + human-rationale format that must exist before any UI is built. YAML front-matter token schema (colors, typography, spacing, rounded, components), type system, token references, and canonical section order.

Production deployment principles and decision-making. Safe deployment workflows, rollback strategies, and verification. Teaches thinking, not scripts.

Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases.

Advanced multi-agent orchestration with parallel workers, synthesis protocols, and coordinator lifecycle. Use when complex tasks require multiple agents working in parallel with intelligent result synthesis.

Manage and compress conversation context in long sessions. Detect when context is growing large, summarize completed work phases, archive old findings while preserving key decisions. Prevents context degradation.

Token-efficient code review using Tree-sitter AST graphs and MCP. Cuts AI token usage on large codebases by computing the blast radius of changes instead of reading entire codebases. Uses a SQLite graph database for structural analysis.

Code review guidelines covering code quality, security, and best practices.

Pragmatic coding standards - concise, direct, no over-engineering, no unnecessary comments