llama-parse SKILL.md skillA
llama-parse from hankunpeng/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add hankunpeng/skills/llama-parse@v2.0.0Pins v2.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- hankunpeng/skills
- Path
skills/llama-parse/SKILL.md- Versions recorded
- 5
- Latest version
- v2.0.0, committed Jul 2, 2026
- First version recorded
- Jul 1, 2026
- Size
- 8,272 bytes
- Repository stars
- 24
- License
- MIT
Use this skill to parse complex documents (PDFs, Word documents, PowerPoint presentations, Excel spreadsheets, or images) into clean Markdown or structured JSON using the LlamaParse API. Make sure to use this skill whenever the user asks to extract tables from PDFs, handle complex document structures (multi-column, charts, forms), parse files with custom prompt guidelines, or convert documents to LLM-ready markdown, even if they don't explicitly mention 'LlamaParse'.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# LlamaParse Document Parsing Skill Parse unstructured documents (such as PDF, DOCX, PPTX, XLSX, images) with LlamaParse and extract their contents (text, markdown, images, JSON). This skill supports both **Python** (`llama-cloud` SDK) and **Node.js/TypeScript** (`@llamaindex/llama-cloud` SDK). ## When to use Use this skill when: - Normal text extractors (like `pdfplumber` or `pypdf`) fail to extract structured tables or handle complex document layouts. - You need to parse files containing mathematical equations, complex charts, or forms. - You need to convert documents (PDF/DOCX/PPTX) into high-quality Markdown optimized for RAG or LLM context ingestion. - You need custom parsing rules (e.g., "Extract tables as CSV", "Ignore headers and footers"). - You need to extract and download embedded images/screenshots from the documents. --- ## Setup and Prerequisites ### 1. API Key LlamaParse requires a LlamaCloud API Key. Ensure the key is set: ```bash export LLAMA_CLOUD_API_KEY="llx-..." ``` Get a free API key at [Llama Cloud](https://cloud.llamaindex.ai/). ### 2. Environment Selection & Installation Depending on the workspace project stack, select either Python or TypeScript: …
Read the whole file at its exact version.
How to install
mdr add hankunpeng/skills/llama-parse@sha256:5a6c1faa3e81bd2aThe line at the top of this page pins the label v2.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_jo3xpd4y4rdodazf)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Jul 1, 2026 and Jul 2, 2026, more than one a day.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v2.0.0 latest | 2026-07-02 | 5ab3a50 | 8,272 B | A | view · diff |
| git:20260701.f5bf8f5 | 2026-07-01 | f5bf8f5 | 6,404 B | A | view · diff |
| git:20260701.a20a8b0 | 2026-07-01 | a20a8b0 | 6,492 B | A | view · diff |
| git:20260701.07b84e2 | 2026-07-01 | 07b84e2 | 6,424 B | A | view · diff |
| git:20260701.da3f7cc | 2026-07-01 | da3f7cc | 6,184 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (8272 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
hankunpeng/skills · 24 stars · license MIT · pushed 2026-10-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_jo3xpd4y4rdodazf GET https://markdownregistry.com/api/v1/resolve?ref=hankunpeng/skills/llama-parse GET https://markdownregistry.com/api/v1/blob/5a6c1faa3e81bd2abee121e0921a46cf582c294dc16ef1a83f2bab3d7b1d0b1b
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.