1. Software Development

Guide for implementing LiteLLM-RS provider architecture, covering integration patterns, error handling, and trait-based design for LLM providers.

Provides a multi-method authentication architecture for backend systems using JWT, API keys, RBAC, rate limiting, and secure credential management via middleware pipeline.

Provides a protocol architecture for agent-to-agent communication using JSON-RPC 2.0, enabling multi-provider orchestration and task state management in AI agent systems.

Provides type-safe configuration architecture for LiteLLM-RS with YAML loading, environment overrides, validation, and hot reloading capabilities.

Designs LiteLLM-RS caching architecture using Redis, vector databases, multi-tier strategies, TTL, and cache invalidation patterns.

Generates Git commit messages adhering to conventional commits standard for consistent version control history.

Guides code implementation using TDD principles, generating test cases and idiomatic code while adhering to existing patterns and prioritizing readability.

Evaluates completed brazil-bench attempts against spec.md requirements, capturing metrics for comparing orchestration patterns in Python and Swift/iOS projects.

Generates structured code task files from descriptions or PDD plans, following Amazon's format specification, with step-by-step processing for PDD implementation.

Specializes in writing and executing unit, fuzz, and invariant tests for blockchain applications, with expertise in VRF mocking and stateful fuzzing.

Deploys smart contracts via Forge, managing script conventions, artifact address lookups, and ledger-based deployments for Heavy Helms.

Orchestrates multi-LLM adversarial debate for validating code, architecture, and security analysis in production environments.

Archives technical Q&A responses in markdown format for programming, debugging, and API usage, permanently viewable in a web UI.

Guide for building high-quality MCP servers to integrate LLMs with external services using FastMCP (Python) or MCP SDK (Node/TypeScript).

Enforces the 'commit early, commit often' pattern in Git for consistent version control during Quest Keeper AI development.

Integrates Test-Driven Development with playtesting for game development, enabling debugging of game feel and adherence to the RED-GREEN-REFACTOR cycle.

Provides frontend development support for Quest Keeper AI using React, Zustand, Three.js, and Tauri for UI components and battlemap rendering.

Enables Defold game development integrations for cross-platform publishing, ads, in-app purchases, leaderboards, and social features via Playgama Bridge SDK.

Enables Playgama Bridge SDK integration for Unity games, supporting cross-platform publishing, ads, in-app purchases, leaderboards, and social features.

Enables cross-platform game features in Godot via Playgama Bridge SDK, including ads, in-app purchases, and leaderboards.

Generates, tests, and explains regex patterns using AST-based construction for efficient text matching and input validation.

Integrates Playgama Bridge SDK for HTML5 games, enabling cross-platform publishing, ads, in-app purchases, leaderboards, and social features.

Validates uxscii components and screens against schema via interactive menu or direct script calls for frontend development.

Comprehensive toolkit for programmatic PDF manipulation including text extraction, table processing, creation, merging, splitting, and form handling.