lark-doc

Automate Feishu (Lark) cloud document and wiki management via CLI workflows.

14|4|Updated Mar 31, 2026
One-click install
npx skills add https://github.com/SpaceZephyr/allSkills --skill lark-doc-spacezephyr
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lark-doc
Source: https://github.com/SpaceZephyr/allSkills/tree/main/lark-doc
Command: npx skills add https://github.com/SpaceZephyr/allSkills --skill lark-doc-spacezephyr

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Manually creating, editing, searching, and managing media for Feishu (Lark) cloud documents and wiki resources via the web interface is time-consuming and error-prone, especially for bulk operations or frequent content updates. This Skill automates these workflows to boost team collaboration efficiency.

Core Features & Use Cases

  • Full Document Lifecycle Operations: Create new Lark docs from Lark-flavored Markdown, fetch existing document content, update documents via 7 supported modes (append, replace range, insert before/after, delete range, replace all, overwrite), and insert/download images, files, and whiteboards.
  • Unified Cloud Space Search: Search across all Lark cloud space objects (documents, wikis, spreadsheets) by keyword or time filter to quickly locate required resources, serving as a single entry point for cloud content discovery.
  • Edge Case Handling: Automatically resolve wiki-linked document tokens to actual usable document tokens, support creating blank whiteboards for later editing, and provide clear handoff guidance to specialized skills (lark-sheets, lark-whiteboard) for specific resource types.
  • Use Case: A product manager needs to pull up an existing product requirements document, append new feature specifications, insert a user flow diagram whiteboard, and share the updated doc with the team — all without switching to the Lark web UI for manual operations.

Quick Start

Ask the AI to create a new Lark cloud document titled 'Q4 Product Roadmap' with a callout block for high-priority milestones and a blank whiteboard for architecture diagrams.

Frequently Asked Questions about lark-doc

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

FAQPage Schema
How do I automate Lark document creation and content updates?

You can automate Lark cloud document creation and content updates via CLI workflows that support creating docs from Lark-flavored Markdown, fetching existing content, and applying modifications through seven modes including append, replace, and overwrite.

What is the best way to search across Feishu cloud space resources?

The best way to search Feishu cloud space resources is via CLI workflows utilizing the Search v2 API to locate documents, wikis, and spreadsheets by keyword or time filter, providing a single entry point for cloud content discovery.

Can I insert images and whiteboards into Lark docs without the web UI?

Yes, you can insert and download images, files, and whiteboards into Lark cloud documents directly via CLI workflows, including creating blank whiteboards for later editing, entirely bypassing the manual web interface.

Does this workflow handle wiki-linked document token resolution automatically?

Yes, the workflow automatically resolves wiki-linked document tokens to actual usable document tokens, ensuring seamless access and modification of linked cloud documents without encountering token mismatch errors.

What safe update guardrails exist to prevent data loss when editing Feishu docs?

Safe update guardrails are implemented to prevent accidental data loss during Feishu cloud document modifications, ensuring that content updates like range deletions or overwrites are executed securely without destroying unintended data.

When should I use specialized skills instead of this tool for Lark resources?

You should transition to specialized skills for specific Lark resource types like spreadsheets or whiteboards, with this workflow providing clear handoff guidance to lark-sheets and lark-whiteboard when deeper functionality for those resources is required.