Guarantee valid JSON/XML/code structure during generation, use Pydantic models for type-safe outputs, support local models (Transformers, vLLM), and maximize inference speed with Outlines - dottxt.ai's structured generation library
7.6
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Excellent skill documentation for Outlines structured generation library. The SKILL.md provides comprehensive coverage with clear installation steps, multiple working examples, core concepts (FSM-based token sampling), and practical patterns. The description accurately reflects capabilities (JSON/XML/Pydantic models, local model support, speed optimization). Task knowledge is exceptional with 6 detailed common patterns, backend configurations, and best practices that enable immediate implementation. Structure is well-organized with logical sections and references to additional files for deeper details. Novelty is strong - guaranteeing valid structured outputs during generation (vs post-validation) and FSM-based token filtering meaningfully reduces token usage and eliminates retry loops that would cost significantly in a basic CLI agent approach. Minor room for improvement in explicitly stating when to invoke this vs native API JSON modes, but overall this is production-ready documentation.
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