run-llama/liteparse/guides

LiteParse ships as a coding agent skill — a self-contained capability that Claude Code, Cursor, Codex, and other compatible agents load on demand. Installing it gives your agent the ability to parse documents, extract text and bounding boxes, and generate screenshots, all locally and with no API key.

Installation

Add the LiteParse skill to your project with the `skills` CLI:

npx skills add run-llama/llamaparse-agent-skills --skill liteparse

This downloads a skill file that compatible coding agents pick up automatically.

You can also copy `SKILL.md` into your own skills setup by hand, or install the liteparse plugin from the agent plugins marketplace to enable it from inside Claude Code or Codex.

Requirements

No API key is required since everything runs on your machine.

What the skill teaches

The skill is more than an install: it encodes the extraction patterns that keep an agent's context small and its runs cheap. Without it, agents commonly re-parse the same document on every search and dump entire pages into the conversation.

• Parse once to a file, then search that file. Each lit parse re-extracts the whole document,

so the skill has the agent parse to a temp file and run all subsequent searches against it.

• Minimize round-trips. Fetch a match and its surrounding context in a single command, and batch

independent lookups together rather than spending a turn per search term.

• Bound every output. Results are capped so a single lookup can't flood the context window.
• Escalate to ranked search when keyword matching stalls, instead of firing off keyword variants

one turn at a time.

Example prompts

Once the skill is installed, you can ask your coding agent things like:

• "Parse this PDF and extract the text as JSON"
• "Extract text from all the DOCX files in the ./contracts folder"
• "Screenshot pages 1-5 of this PDF at 300 DPI"
• "Parse this scanned document using the PaddleOCR server on localhost:8828"
• "Get the bounding boxes for all text on page 3"

Related

LiteParse is one of several ways to give an agent document-processing capabilities. For cloud parsing of complex documents, MCP servers, and workflow nodes, see Using LlamaIndex with AI Agents.