llamaparse-agent-skills

内容来源：README.md（说明文档） · 原始地址 · 查看安装指南

原始内容

# 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](https://developers.llamaindex.ai/llamaparse/cloud-index-v2/getting_started/) index

## Installation

With the `skills` CLI:

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

Or, if you wish to download only one skill:

```bash
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](https://github.com/run-llama/llamaparse-agent-skills/releases/download/latest/skills-latest.zip).

## License 

[MIT](https://github.com/run-llama/llamaparse-agent-skills/tree/HEAD/LICENSE)

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