Llamaparse Agent Skills

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LlamaParse Agent Skills

Llamaparse Agent Skills is an open-source agent skill by run-llama, written mainly in Python, with 85 GitHub stars and the MIT license. Its code was last updated Jul 3, 2026.

LlamaParse Skills

Unblock document intelligence for your agents with LlamaParse skills.

Available Skills

llamaparse

Skill for unstructured documents parsing and text-extraction leveraging LlamaParse.

Use with:

  • PDFs, presentations, Word documents, spreadsheets, images
  • Complex documents which need advanced parsing capabilties in order to get their content extracted
  • Documents with images, charts and tables
  • In general, whenever the agent needs to have access to a deeper layer than just raw text extraction

Pre-requisites

  • A LLAMA_CLOUD_API_KEY available within the environment
  • Node 18+ and npm (or another package manager)
  • (Optional) @llamaindex/llama-cloud@latest typescript package installed in the current Node environment

liteparse

Skill for local-first, fast document parsing, conversion and spatial text extraction.

Use with:

  • PDFs (main target), Office documents and images (require extra dependencies)
  • Text-dense documents with tables and images
  • In general, whenever the agent needs a quick and not-100%-accurate way to extract content from unstructured documents

Pre-requisites

  • Node 18+ and npm (or another package manager)
  • @llamaindex/liteparse globally installed (npm install -g @llamaindex/liteparse)
  • (Optional) Libreoffice for Office documents support
  • (Optional) Imagemagick for images support

llamacloud-index

Skill for agentic retrieval over LlamaCloud Index v2, the managed knowledge base of the LlamaParse Platform, through the platform REST API with curl.

Use with:

  • Questions that should be answered from documents stored in an Index v2 knowledge base
  • Agentic retrieval workflows: discover indexes, locate files, grep indexed content, and retrieve passages with hybrid (sparse + dense) search
  • In general, whenever the agent should navigate an index like a file system instead of doing one-shot RAG

Pre-requisites

  • A LLAMA_CLOUD_API_KEY available within the environment
  • curl (and, recommended, jq)
  • An existing Index v2 index

Installation

With the skills CLI:

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

Or, if you wish to download only one skill:

npx skills add run-llama/llamaparse-agent-skills --skill llamaparse # or the name of another skill

You can also download the skills folder in .zip format from GitHub Releases.

License

MIT

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