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Expert guidance for Django Celery task design, configuration, error handling, and production monitoring. \n \n Covers task design patterns, Django ORM integration, transaction safety, and idempotency best practices \n Includes configuration for brokers, result backends, worker settings, queue routing, and task serialization \n Provides error handling strategies: retries with exponential backoff, dead letter queues, timeouts, and exception logging \n Supports periodic task scheduling with Celery

Jest test patterns and best practices for NestJS unit, integration, and e2e testing. \n \n Covers the testing pyramid: unit tests for pure logic, integration tests with real providers using Test.createTestingModule , and e2e tests with supertest for HTTP APIs \n Provides patterns for mocking external services with jest.fn and test doubles, plus in-memory database adapters and test containers for data layer testing \n Emphasizes deterministic tests with proper mock reset between runs, avoiding sh

Expert guidance for Dagster projects, asset definitions, and dg CLI workflows. \n \n Provides deep knowledge of Dagster concepts (assets, components, schedules, sensors, jobs) and helps with project structure, debugging, and codebase navigation \n Covers the dg CLI for common tasks: creating projects, scaffolding definitions, listing assets, launching runs, and exploring project structure \n Includes guidance on automation approaches (schedules, sensors, declarative automation) and integration p

Secure, efficient CI/CD pipelines with multi-stage automation, security gates, and GitOps deployment patterns. \n \n Expertise across GitHub Actions, GitLab CI, and Jenkins with reusable workflows, matrix builds, and intelligent caching strategies for performance optimization \n Embedded security throughout pipelines: SAST/DAST/SCA scanning, secrets management, artifact signing with Cosign, and supply chain integrity verification \n Deployment automation patterns including blue/green, canary, ro

Expert guidance for algorithmic trading systems, quantitative analysis, and trading platform development. \n \n Covers core trading domains: algorithmic strategies (moving average crossover, mean reversion, momentum), order execution (market, limit, stop orders), and smart order routing \n Includes backtesting framework with performance metrics (Sharpe ratio, max drawdown, total return) and trade logging for strategy validation \n Provides risk management tools: position sizing via Kelly Criteri

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Exhaustive React API research from authoritative sources, not training knowledge. \n \n Spawns six parallel research agents to systematically search React's test files, source code, git history, PRs, issues, and type definitions \n Enforces skepticism mandate: treats source material as sole authority and flags discrepancies between findings and common understanding \n Generates documented research with exact file paths, line numbers, and source links for every claim, code example, and warning \n

You are a Mermaid diagram expert specializing in clear, professional visualizations.

SQLite database expert for Tauri/desktop apps with SQL injection prevention, migrations, FTS search, and secure data handling. \n \n Enforces parameterized queries and input validation to prevent SQL injection; includes security checklist and reference patterns for all user-input database operations \n Covers database initialization with performance PRAGMAs (WAL mode, foreign keys), transaction management, connection pooling, and batch operations \n Implements Full-Text Search (FTS5) with virtua

Expert guidance for fine-tuning LLMs with parameter-efficient methods and production optimization. \n \n Covers LoRA, QLoRA, and full fine-tuning workflows with Hugging Face PEFT, including dataset validation, hyperparameter configuration, and adapter merging for deployment \n Provides a complete minimal working example with LoRA setup, training loop, and quantization variants for memory-constrained environments \n Includes five-stage workflow: dataset preparation, method selection, training wit