outlines
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
npx skills add Orchestra-Research/AI-Research-SKILLs --skill outlines --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Outlines: Structured Text Generation ## When to Use This Skill Use Outlines when you need to: - **Guarantee valid JSON/XML/code** structure during generation - **Use Pydantic models** for type-safe outputs - **Support local models** (Transformers, llama.cpp, vLLM) - **Maximize inference speed** with zero-overhead structured generation - **Generate against JSON schemas** automatically - **Control token sampling** at the grammar level **GitHub Stars**: 8,000+ | **From**: dottxt.ai (formerly .txt) ## Installation ```bash # Base installation pip install outlines # With specific backends pip install outlines transformers # Hugging Face models pip install outlines llama-cpp-python # llama.cpp pip install outlines vllm # vLLM for high-throughput ``` ## Quick Start ### Basic Example: Classification ```python import outlines from typing import Literal # Load model model = outlines.models.transformers("microsoft/Phi-3-mini-4k-instruct") # Generate with type constraint prompt = "Sentiment of 'This product is amazing!': " generator = outlines.generate.choice(model, ["positive", "negative", "neutral"]) sentiment = generator(prompt) print(sentiment) # "positive" (guaranteed one of these) ``` #
- When to Use This Skill
- Installation
- Quick Start
- Basic Example: Classification
- With Pydantic Models
- Core Concepts
- 1. Constrained Token Sampling
- 2. Structured Generators
- 3. Model Backends
- 4. Pydantic Integration
- Common Patterns
- Pattern 1: Data Extraction
- Pattern 2: Classification
- Pattern 3: Structured Forms
Base installation pip install outlines With specific backends pip install outlines transformers # Hugging Face models pip install outlines llama-cpp-python # llama.cpp pip install outlines vllm # vLLM for high-throughput
What does the outlines skill do?
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
How do I install it?
Run `npx skills add Orchestra-Research/AI-Research-SKILLs --skill outlines --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From Orchestra-Research/AI-Research-SKILLs, a repository with 11,391 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.