All repositories

Prompting & contextdottxt-ai

outlines

A structured-generation library: the model returns an answer strictly matching a type or Pydantic schema. Works with different providers and local models.

Who it is for

For Python developers extracting typed data from models.

How to start

  1. Install: pip install outlines.
  2. Connect a model following the Quickstart example.
  3. Define the output type (simple or complex) and call the model.

Steps are taken from the README. Check the current version in the repository before running them.

Stars over the last 30 days

+167Sep 6 — Oct 4
15,73115,898

Author's description

Structured Outputs

anthropics

skills

Growing fastest

Anthropic's official collection of Agent Skills: folders with instructions and scripts that Claude loads for a task. A good reference for writing your own.

180Kstars+5.4K in 30 dPython

Formerly Awesome ChatGPT Prompts: a huge community library of prompts plus an interactive book on prompting. You can deploy your own private copy.

172Kstars+2.9K in 30 dHTML

A collection of system prompts and tool descriptions from popular AI products: Cursor, Devin, Windsurf, Lovable, Manus and others. Useful for studying how pros build them.

144Kstars+933 in 30 d

A detailed guide to prompt engineering: techniques from few-shot to chains of thought, papers, lectures and notebooks. Recently extended with context engineering and agents.

79Kstars+909 in 30 dMDX

A collection of examples and guides for the OpenAI API: from basic requests to function calling and RAG. Most code is Python.

76Kstars+676 in 30 dJupyter Notebook

Recipes from Anthropic as notebooks: tools, RAG, multimodality, subagents and other techniques for working with Claude. The code is ready to copy into your projects.

53Kstars+829 in 30 dJupyter Notebook
dottxt-ai/outlines — what it is and how to start