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.
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Prompting & contextgoogle
langextract
Google's library for extracting structured data from text with LLMs: each field is tied to a spot in the source, and results can be viewed in an interactive visualization.
Who it is for
For those pulling entities and facts from long texts who want to see where they came from.
How to start
- Install:
pip install langextract. - Describe the task and give one or two quality examples, as in Quick Start.
- Run the extraction and save the result as JSONL for visualization.
Steps are taken from the README. Check the current version in the repository before running them.
Stars over the last 30 days
+442Sep 6 — Oct 6
Author's description
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
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