Outlines
Skill ActiveGuarantee 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
To reliably generate structured output from LLMs, ensuring data validity and maximizing performance with local models.
Features
- Guaranteed valid JSON/XML/code structure
- Pydantic model integration for type-safe outputs
- Support for local models (Transformers, vLLM, llama.cpp)
- Maximized inference speed via Outlines' structured generation
- Generation against JSON schemas
- Control over token sampling at the grammar level
Use Cases
- Extracting structured data (e.g., from unstructured text)
- Generating code snippets that conform to specific schemas
- Classifying text into predefined categories with guaranteed output formats
- Creating type-safe data models for AI outputs
Non-Goals
- Performing arbitrary code execution outside of LLM generation
- Acting as a general-purpose API wrapper for LLM services
- Replacing a full LLM framework with complex agentic behavior
Trust
- warning:Issues AttentionThe repository shows 17 open issues and 4 closed issues in the last 90 days, indicating a low closure rate and potential for slow response.
Execution
- info:Pinned dependenciesDependencies are listed in SKILL.md but not strictly pinned via a lockfile, which could lead to potential compatibility issues if not managed carefully.
Installation
npx skills add davila7/claude-code-templatesRuns the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.
Quality Score
Trust Signals
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