Content & Media

Create comprehensive implementation plans with detailed file-level changes and test strategies

Guides REST and GraphQL API design, including endpoints, error handling, versioning, and documentation. Use when designing APIs, creating endpoints, or when asked about API patterns.

Designs comprehensive testing strategies for any codebase. Use when adding tests, improving coverage, setting up testing infrastructure, or when asked about testing approaches.

Guides performance analysis and optimization for any application. Use when diagnosing slowness, optimizing code, improving load times, or when asked about performance.

Instructs AI agents on documentation standards for design docs, folder READMEs, source code interfaces, and test cases

Guides Git workflows, branching strategies, commit conventions, and collaboration patterns. Use when working with Git, creating PRs, managing branches, or when asked about version control.

Use when designing or architecting Elixir/Phoenix applications, creating comprehensive project documentation, planning OTP supervision trees, defining domain models with Ash Framework, structuring multi-app projects with path-based dependencies, or preparing handoff documentation for Director/Implementor AI collaboration

2025 UI design trends and patterns including glassmorphism, bento grids, micro-animations, and modern aesthetics. Essential for creating visually stunning, premium web interfaces.

Scalable data processing for ML workloads. Streaming execution across CPU/GPU, supports Parquet/CSV/JSON/images. Integrates with Ray Train, PyTorch, TensorFlow. Scales from single machine to 100s of nodes. Use for batch inference, data preprocessing, multi-modal data loading, or distributed ETL pipelines.

Use when design is complete and you need detailed implementation tasks for engineers with zero codebase context - creates comprehensive implementation plans with exact file paths, complete code examples, and verification steps assuming engineer has minimal domain knowledge

API security testing principles. OWASP API Top 10, authentication, authorization testing.

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

API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination. Teaches thinking, not fixed patterns.

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

Generate personalized news intelligence with verified sources (7-day freshness requirement)

Trains large language models (2B-462B parameters) using NVIDIA Megatron-Core with advanced parallelism strategies. Use when training models >1B parameters, need maximum GPU efficiency (47% MFU on H100), or require tensor/pipeline/sequence/context/expert parallelism. Production-ready framework used for Nemotron, LLaMA, DeepSeek.

Use when invalid data causes failures deep in execution, requiring validation at multiple system layers - validates at every layer data passes through to make bugs structurally impossible

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

Expert guidance for GRPO/RL fine-tuning with TRL for reasoning and task-specific model training

Use when implementing any feature or bugfix, before writing implementation code - write the test first, watch it fail, write minimal code to pass; ensures tests actually verify behavior by requiring failure first