feishu-fetch-doc

Extract Feishu cloud docs content as Markdown with media support.

Updated Dec 6, 2016
One-click install
npx skills add https://github.com/majunbao/learn --skill feishu-fetch-doc-majunbao
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: feishu-fetch-doc
Source: https://github.com/majunbao/learn/tree/main/openclaw-lark_tags/openclaw-lark-2026.4.13/skills/feishu-fetch-doc
Command: npx skills add https://github.com/majunbao/learn --skill feishu-fetch-doc-majunbao

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill extracts Feishu cloud documents and returns their content in Markdown format, enabling easy rendering and AI-assisted analysis without manually re-exporting docs.

Core Features & Use Cases

  • Markdown extraction: Retrieve Feishu cloud docs in Lark-flavored Markdown.
  • Media handling guidance: Notes that images, files, and whiteboards require separate downloads via feishu_doc_media.
  • Use Case: Build a knowledge base from Feishu docs by exporting multiple docs to Markdown for indexing and search.

Quick Start

Provide a doc_id or wiki token to fetch the Markdown content and use feishu_doc_media to download media as needed.

Frequently Asked Questions about feishu-fetch-doc

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract Feishu cloud documents as Markdown?

To extract Feishu cloud documents as Markdown, you can use a specialized skill that retrieves the doc content using a doc_id or wiki token and returns it in Lark-flavored Markdown format for easy rendering and AI-assisted analysis.

What is the best way to export Feishu docs for a knowledge base?

The best way to export Feishu docs for a knowledge base is to fetch the content as Markdown. You provide a wiki token or doc_id to retrieve the text, which can then be indexed and searched without manually re-exporting.

Does fetching Feishu docs as Markdown include images and media?

Fetching Feishu docs as Markdown extracts the text content, but images, files, and whiteboards require a separate process. You must coordinate with the feishu_doc_media component to download these embedded media assets.

Do I need a wiki token to retrieve Feishu doc content?

Yes, you need either a doc_id or a wiki token to retrieve Feishu doc content. Providing one of these identifiers allows the extraction process to locate the specific cloud document and convert it into Markdown format.

What are the limitations of converting Feishu docs to Markdown?

A key limitation of converting Feishu docs to Markdown is that embedded media is not directly included in the extraction. Images, files, and whiteboards must be handled separately by downloading them via the feishu_doc_media capability.