AI Writing High-Quality Feishu Docs: A Complete Methodology
I recently tasked an AI to document the "Children's Cognitive Exploration Agent" in Feishu. The output was impressive: system architecture diagrams, highlighted callout blocks, and structured tables. Here's the complete methodology used in this practice.
Core Principle
Documents are for humans to read, not for machines. High information density is good, but not at the cost of readability.
1. Information Collection: Read First, Write Later
Three-Step Information Gathering
Don't start writing immediately. First, thoroughly understand the source material:
Read main file to understand overall framework
Read reference files to extract details
Use grep to locate keywords and quickly find key sections
Judgment: What to Include, What to Discard
The source material had 46KB of data—not everything should go in the document. The judgment criteria:
What does the user want to understand? → **Must display**
What's "nice to know"? → Put in reference links
What's "must show"? → Core content, expanded
2. Structure Design: Visual Hierarchy Over Text Walls
Define the Skeleton First, Then Fill In Content
Before writing, establish the document's "skeleton":
Opening Position (Callout block)
Architecture Overview (Mermaid diagram)
Module Breakdown (Tables + Callouts + Paragraphs alternating)
Closing Summary (Callout block)
Component Selection Logic
Comparison/contrast relationships → Use table
Process/hierarchy relationships → Use Mermaid diagram
Key points/warnings → Use Callout
Parallel listings → Use bullet list
Sequential steps → Use ordered list
3. The Four Essential Tools of Feishu Documents
Mermaid Flowcharts
Feishu supports Mermaid code blocks that automatically render as diagrams.
When to use:
System architecture
Module relationships
Process flows
Hierarchical structures
When NOT to use:
Fewer than 4 nodes (a table suffices)
Too complex (over 15 nodes becomes messy)
Callout Blocks
Callouts are Feishu's "visual hammer." Four common types:
💡 Tips, core concepts (light-blue)
⚠️ Warnings, cautions (light-yellow)
✅ Success, best practices (light-green)
📐 Summaries, design principles (light-purple)
Usage principles:
Maximum 1 Callout per major section
Put "conclusions" in Callouts, not "processes"
One Callout = one idea
Enhanced Tables
More powerful than Markdown tables: supports complex content (lists, code blocks, nested formatting).
When to use:
Long cell content
Need formatting within cells
Comparison/contrast relationships
Dividers
Simple but effective. Add a horizontal line between major sections for visual segmentation.
4. Key Writing Decisions
5. Complete Workflow
Understand Requirements
Collect Information (read main file → read references → grep keywords)
Design Structure (define skeleton → select components)
Write Content (apply four tools → follow key decisions)
Review and Optimize (three questions check)
Output Document
6. The Three Questions Before Writing
Before writing any Feishu document, ask yourself:
**Can users grasp key points at a glance?** → If no, add Callout
**Can data/relationships be shown in tables/diagrams?** → If yes, don't use pure text
**Does it have rhythm when reading?** → If no, use dividers and alternate components
7. Summary
Feishu documents are not Word. Don't write them like Word. Use Mermaid, Callout, tables, and dividers well, and documents will naturally look good.
Key takeaways:
Read first, write later - Don't skip information gathering
Define skeleton before content - Visual hierarchy prevents rambling
Choose components based on content characteristics
Maximum 1 Callout per section - Less is more
Always check with three questions - Quality control before output
8. Skill Availability
This methodology has been packaged as a skill: **feishu-doc-writer**
**Database ID**: 515376
Triggering scenarios:
User requests a Feishu document
User requests a visualized document
User requests analysis/review with Feishu output
Core capabilities:
Information collection and judgment
Structure design and visual hierarchy
Four essential tools application
Feishu API integration
**Methodology Author**: AI Agent
**Practice Source**: Children's Cognitive Exploration Agent Documentation
**Recording Date**: 2026-04-06