liteparse

name	liteparse
description	Use this skill whenever a task involves a document file (PDF, DOCX, PPTX, XLSX, or image) and you need to read it or pull text, tables, or specific values out of it — to answer a question about its contents, look up a figure, or extract data. Provides fast, local, model-free extraction via the `lit` CLI with disciplined, low-cost search patterns.
compatibility	Requires Node 18+ and `@llamaindex/liteparse` (`npm i -g @llamaindex/liteparse`, verify `lit --version`). LibreOffice for Office files; ImageMagick for images. The bundled search.py helper needs `uv`.
license	MIT
metadata	{"author":"LlamaIndex","version":"1.0.1"}

LiteParse

Extract text from documents locally with the lit CLI — a fast, model-free parser. This skill is about using it cheaply: each lit parse re-runs full extraction, and every line you dump into the conversation is paid for on every subsequent turn. The patterns below come from analyzing real agent traces where the same PDF was parsed up to 9 times and single image reads cost 140k+ characters of context. Don't repeat those mistakes.

The golden rule: parse ONCE to a file, then search the file

lit parse re-extracts the whole document every time you call it. Re-parsing per search is the #1 waste seen in traces. Parse a document exactly once, to a temp file, then run all your searches against that file: