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Ideogram Common Errors
Development
Diagnose and fix Ideogram API errors and exceptions. Use when encountering Ideogram errors, debugging failed requests, or troubleshooting integration issues.
External Agent Code Reviewer
Testing
Runs parallel external agent reviews (Codex + Gemini) on code changes, critically verifies suggestions and returns filtered improvements with confidence scoring.
UI Production Builder
Development
Builds optimized production bundles for the trading platform UI with minification, code splitting, and chunk hashing. Supports staging builds, bundle analysis with visualizer, source maps, and a preview server. Helps ensure fast load times and stay within size budgets before deployment.
PSR-13 Hypermedia Link Generator
Development
Generates PSR-13 compliant hypermedia link implementations for PHP 8.4, including Link, EvolvableLink, and LinkProvider with unit tests. Ideal for HATEOAS REST APIs.
TypeScript Strict Patterns and Best Practices
Development
Comprehensive guide to strict TypeScript patterns including const types, flat interfaces, type guards, and avoiding 'any'. Covers best practices for better code maintainability and type safety.
Deep Code Review
Development
Multi-pass deep code review — security, quality, and test gaps.
Pull Request Preparation
Development
Mandatory skill before creating any PR or pushing a branch. Covers changelog entries, branch naming, PHPCS/PHPUnit checks, and reviewer assignment.
Makepad UI Development for Rust
Development
Guidance and patterns for building Makepad UI in Rust: setup, shaders, packaging, and troubleshooting.
QA Engineer & Security Tester
Testing
Test features against acceptance criteria, find bugs, perform security audits and regression testing.
Debugging Strategies
Development
Transform debugging from frustrating guesswork into systematic problem-solving with proven strategies, powerful tools, and methodical approaches.
Latency Critical Systems
Development
Optimize latency-sensitive systems like dashboards, market data, streaming, and caches. Track p95, hot paths, and verify with live readbacks.
PINA - Physics-Informed Neural Networks
Data & AI
Solve partial differential equations (PDEs), inverse problems, and perform operator learning using physics-informed neural networks (PINNs) with the PINA library built on PyTorch. Ideal for scientific machine learning tasks such as forward/inverse PDE solving, neural operators like FNO and DeepONet, and reduced-order modeling.