1. Software Development

Analyzes code to propose root cause hypotheses and outputs findings to a markdown file for debugging workflows.

Resolves common software errors by leveraging the FixHive knowledge base for efficient debugging assistance.

Performs performance and load testing for Supabase Realtime to ensure scalability and reliability under high traffic conditions.

Designs unified database schemas for Supabase, incorporating Row Level Security (RLS) and Realtime capabilities for secure, real-time applications.

Analyzes codebase test coverage and provides actionable insights to enhance test quality and reduce gaps.

Provides Go-specific best practices, idiomatic patterns, and TDD guidance for writing and reviewing high-quality Go code.

Guides implementation of software from validated SDLC plans using Test-Driven Development and quality gates to ensure specification adherence.

Automates end-to-end testing workflows for web applications, validating full user journeys and system integration across all components.

Assists in TwinCAT 3 project development for APR systems, covering version selection, NC axis configuration, ST programming, and simulation.

Optimizes Python application performance by profiling bottlenecks and applying best practices for speed and memory efficiency.

Guides developers through the Test-Driven Development (TDD) cycle: writing tests (RED), implementing code (GREEN), and refactoring (REFACTOR).

Reference libraries for TwinCAT 3 industrial automation, featuring PackML machine control, safety logic XML generation, and Isaac Sim integration.

Analyzes codebase structure and generates a comprehensive architecture overview in CODEBASE.md for better understanding and documentation.

Performs code reviews and validates adherence to software design principles.

Provides best practice patterns for Spring Boot 3 application structure including controllers, services, configuration, and validation.

Checks that the codebase satisfies all mandatory requirements defined in the project's SPEC.md specification document.

Enables efficient implementation of asynchronous programming patterns in Python for high-performance, non-blocking applications and APIs.

Keeps high-level architecture diagrams and specifications synchronized with the evolving codebase to ensure accurate system design documentation.

Generates and publishes Python packages to PyPI with correct project structure and configuration files.

Profiles point cloud pipeline performance by measuring frame times, averages, max, and timeouts, outputting statistics via ROS logs.

Provides strict TypeScript patterns and best practices for type safety, including interfaces, generics, and eliminating 'any' and 'unknown'.

Provides safe Git operations including reverting changes, undoing file modifications, and cleaning untracked files with dry-run previews to prevent accidental data loss.

Guides creation of Model Context Protocol (MCP) servers enabling LLMs to securely interact with external APIs via Python (FastMCP) or Node.js (MCP SDK).

Diagnoses and repairs ROS1 TF tree issues including frame errors, broken chains, and time synchronization to resolve sensor alignment and coordinate transformation failures.