ag-kit

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

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

API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.

Main application building orchestrator. Creates full-stack applications from natural language requests. Determines project type, selects tech stack, coordinates agents.

Architectural decision-making framework. Requirements analysis, trade-off evaluation, ADR documentation. Use when making architecture decisions or analyzing system design.

Bash/Linux terminal patterns. Critical commands, piping, error handling, scripting. Use when working on macOS or Linux systems.

Apply operations across multiple files simultaneously. Pattern-based bulk modifications, search-and-replace across codebases, consistent changes to many files at once.

AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.

Socratic questioning protocol + user communication. MANDATORY for complex requests, new features, or unclear requirements. Includes progress reporting and error handling.

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

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

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.

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.

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.

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

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

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.

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

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.

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.