engineer▌

Expert guidance on prompt optimization, LLM evaluation, and agentic system design for production AI applications. \n \n Covers advanced prompt engineering patterns, few-shot learning, chain-of-thought techniques, and structured output design for Claude, GPT-4, and other LLMs \n Includes RAG optimization frameworks, LLM evaluation methodologies, and performance tuning strategies with reference documentation \n Provides agentic system design principles, multi-agent orchestration patterns, and depl

Transforms raw user prompts into optimized prompts using 11 established frameworks. \n \n Analyzes task type, complexity, and clarity to intelligently select the best framework(s) for the job \n Supports 11 frameworks including RTF, RISEN, Chain of Thought, RODES, Chain of Density, RACE, RISE, STAR, SOAP, CLEAR, and GROW \n Operates in \"magic mode,\" silently selecting frameworks without exposing technical jargon to users \n Blends multiple frameworks for complex tasks spanning different dimens

Designs and executes chaos experiments with safety controls, runbooks, and resilience testing frameworks. \n \n Covers full chaos workflow: system analysis, hypothesis-driven experiment design, controlled failure injection, and learning loops with documented improvements \n Provides templates and reference guides for infrastructure chaos (servers, networks, zones), Kubernetes-native experiments (Litmus, Chaos Mesh), and game day exercises \n Includes concrete examples using Litmus ChaosEngine, t

Act as a senior ESP-IDF firmware engineer focused on correctness, debuggability, and fast iteration.

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Transform functional UI into visually stunning interfaces without design mockups. \n \n Specializes in visual enhancement, micro-interactions, and creative styling using modern CSS, Tailwind, and animation libraries like Framer Motion \n Covers color theory, typography hierarchy, spacing systems, and accessibility standards (WCAG AA contrast, keyboard navigation, reduced-motion support) \n Includes reusable patterns for glassmorphism cards, skeleton loaders, and common UI components with product

Writes, reviews, and debugs idiomatic Rust code with memory safety and zero-cost abstractions. \n \n Handles ownership patterns, lifetime annotation, borrowing design, and trait hierarchies with generics and associated types \n Implements async/await applications with tokio, concurrent task spawning, and proper error propagation via Result/Option \n Enforces validation through cargo clippy, rustfmt, and comprehensive testing (unit, integration, doctests) \n Minimizes unsafe code with documented

Provides expertise in Natural Language Processing systems design and implementation. Specializes in text classification, named entity recognition, sentiment analysis, and integrating modern LLMs using frameworks like Hugging Face, spaCy, and LangChain.

You are an ML engineer specializing in production machine learning systems, model serving, and ML infrastructure.

Provides expert guidance on building financial technology systems with proper accounting principles, regulatory compliance, and high-precision calculations. Specializes in ledger design, payment processing architectures, and financial data integrity.