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This skill provides a comprehensive methodology for building robust LLM projects, ranging from initial task-model fit evaluation to complex multi-agent architectures. It emphasizes a structured pipeline approach—acquire, prepare, process, parse, and render—while utilizing the file system as a state machine for reliable, idempotent execution. Whether you are designing batch processing workflows or interactive agent applications, this skill helps optimize performance, manage costs, and ensure high-quality structured outputs through rapid prototyping and architectural reduction principles.
