What problem does it solve? Developers new to funboost often misapply Celery-style patterns, invent nonexistent BoosterParams fields, or misconfigure broker connections, leading to runtime errors and broken distributed task code. ## Core Features & Use Cases - Mental Model Building: Explains the zero-intrusion @boost decorator philosophy, the difference between direct calls and push-based distributed execution, and why consumers never auto-stop. - BoosterParams Reference: Categorizes the 50+ Pydantic configuration fields and corrects common hallucinated parameter names like timeout, max_retries, and workers. - Configuration & Context Guidance: Covers funboost_config.py loading via PYTHONPATH, push vs publish semantics, the fct thread-safe task context, and the five concurrency modes. - Use Case: Before writing a funboost consumer with Redis broker and RPC result retrieval, consult this Skill to set is_using_rpc_mode correctly, configure BrokerConnConfig, and avoid Celery-style bind=True patterns. ## Quick Start Explain how funboost BoosterParams, the funboost_config.py file, and the fct context object work before I write my first distributed task.