Agent skill

feishu-doc-collab

Enable real-time AI collaboration in Feishu (Lark) documents. When a user edits a Feishu doc, the agent automatically detects the change, reads the document, and responds inline — turning any Feishu document into a live human-AI conversation. Features: - Feishu document edit event → triggers isolated agent session automatically - Structured in-doc chat protocol (status flags prevent premature AI responses while user is still typing) - Multi-party support: multiple humans + multiple AI agents in one document - Bitable (spreadsheet) task board integration for collaborative task management - Anti-loop: bot's own edits are automatically ignored Triggers: Feishu doc collaboration, 飞书文档协作, document edit event, in-doc chat, 文档内对话, Lark document AI, feishu doc auto-reply, 飞书文档自动回复

Stars 1,878
Forks 294

Install this agent skill to your Project

npx add-skill https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/feishu-doc-collab

SKILL.md

Feishu Document Collaboration Skill

Turn any Feishu document into a real-time human-AI collaboration space.

Overview

This skill patches OpenClaw's Feishu extension to detect document edit events and trigger isolated agent sessions. Combined with a structured in-document chat protocol, it enables:

  • ✍️ Write a question in a Feishu doc → AI reads it and appends a reply
  • 🚦 Status flags (🔴 editing / 🟢 done) prevent premature responses
  • 👥 Multi-party routing: messages can target specific participants
  • 📋 Optional Bitable task board for structured task management

Prerequisites

  1. OpenClaw with Feishu channel configured (app ID, app secret, event subscriptions)
  2. Feishu app event subscriptions enabled:
    • drive.file.edit_v1 — document edit events
    • drive.file.bitable_record_changed_v1 — (optional) bitable record changes
  3. Hooks enabled in openclaw.json:
    json
    {
      "hooks": {
        "enabled": true,
        "token": "your-hooks-token-here"
      }
    }
    

Quick Setup

Step 1: Enable hooks in openclaw.json

Add the hooks section if not present:

bash
# Generate a random token
TOKEN=$(openssl rand -hex 16)
echo "Your hooks token: $TOKEN"
# Then add to openclaw.json:
# "hooks": { "enabled": true, "token": "<TOKEN>" }

Step 2: Apply the monitor patch

bash
bash ./skills/feishu-doc-collab/scripts/patch-monitor.sh

This patches monitor.ts in the Feishu extension to:

  • Detect drive.file.edit_v1 events
  • Trigger an isolated agent session via /hooks/agent
  • The agent reads the doc, checks for new messages, and responds

Step 3: Configure your agent identity

Edit ./skills/feishu-doc-collab/config.json:

json
{
  "agent_name": "MyBot",
  "agent_display_name": "My AI Assistant"
}

The patch script uses this to set up message routing (who the agent responds as).

Step 4: Restart the gateway

bash
openclaw gateway restart

Step 5: Set up the Doc Chat Protocol

Copy the protocol template to your workspace:

bash
cp ./skills/feishu-doc-collab/assets/DOC_PROTOCOL_TEMPLATE.md ./DOC_PROTOCOL.md

Edit DOC_PROTOCOL.md to fill in your participant roster.

How It Works

Document Edit Flow

User edits Feishu doc
        ↓
Feishu sends drive.file.edit_v1 event
        ↓
Patched monitor.ts receives event
        ↓
Checks: is this the bot's own edit? → Yes: skip (anti-loop)
        ↓ No
POST /hooks/agent with isolated session instructions
        ↓
Agent reads DOC_PROTOCOL.md for message format
        ↓
Agent reads the document, finds last message block
        ↓
Checks: status=🟢? addressed to me? not from me?
        ↓ Yes
Agent composes reply and appends to document

In-Document Chat Protocol

Messages in the document follow this format:

markdown
---
> **Sender Name** → **Receiver Name** | 🟢 完成

Your message content here.

Status flags:

  • 🔴 编辑中 (editing) — AI will NOT process this message (user is still typing)
  • 🟢 完成 (done) — AI will read and respond to this message

Routing:

  • → AgentName — addressed to a specific AI agent
  • → all — broadcast to all participants

This solves a critical problem: Feishu auto-saves continuously while typing, which would trigger multiple premature AI responses without the status flag mechanism.

Bitable Task Board (Optional)

For structured task management alongside document collaboration:

  1. Create a Bitable with these fields:

    • Task Summary (Text)
    • Status (SingleSelect): Unread / Read / In Progress / Done / N/A
    • Created (DateTime)
    • From (SingleSelect): participant names
    • To (MultiSelect): participant names
    • Priority (SingleSelect): Low / Medium / High / Urgent
    • Notes (Text)
    • Related Doc (URL)
  2. Configure in config.json:

    json
    {
      "bitable": {
        "app_token": "your_bitable_app_token",
        "table_id": "your_table_id"
      }
    }
    
  3. The patch also handles bitable_record_changed_v1 events for task routing.

Re-applying After Updates

⚠️ OpenClaw updates overwrite monitor.ts. After any update:

bash
bash ./skills/feishu-doc-collab/scripts/patch-monitor.sh
openclaw gateway restart

The patch script is idempotent — safe to run multiple times.

Configuration Reference

config.json

Field Type Required Description
agent_name string Yes Internal name used in protocol routing
agent_display_name string Yes Display name shown in doc replies
bitable.app_token string No Bitable app token for task board
bitable.table_id string No Bitable table ID for task board

Environment

The patch reads from ~/.openclaw/openclaw.json:

  • hooks.token — authentication for /hooks/agent endpoint
  • gateway.port — gateway port (default: 18789)

Known Issues & Solutions

Event Storm (事件风暴)

Problem: Feishu sends multiple drive.file.edit_v1 and bitable_record_changed_v1 events for a single logical edit. Bitable edits are especially bad — changing one record field can trigger 10-20+ events in rapid succession. Without debounce, each event spawns a separate isolated agent session (using the full model), causing massive token waste.

Real-world impact: A single bitable task edit triggered 15+ Hook sessions consuming 350k+ tokens, all running in parallel and all reaching the same conclusion: "nothing to do".

Solution: 30-second debounce per fileToken (implemented in patch-monitor.sh v2):

  • A Map<string, number> tracks the last trigger timestamp per file/table
  • If the same file was triggered within 30 seconds, the event is silently skipped
  • For bitable events, the debounce key includes both fileToken and tableId
  • The debounce is applied before the /hooks/agent call, so no session is created

Bot self-edit loop: When the agent updates a bitable record (e.g., changing status to "处理完"), that edit triggers MORE events. The bot self-edit check (comparing operator_id to botOpenId) catches most of these, but the debounce provides a critical safety net for cases where the operator ID doesn't match (e.g., API calls vs. bot identity).

Important: Already-running sessions cannot be stopped by debounce. If an event storm has already started, the sessions will run to completion. Debounce only prevents NEW triggers.

Re-patching After Updates

OpenClaw updates overwrite monitor.ts. After any update:

bash
bash ./skills/feishu-doc-collab/scripts/patch-monitor.sh
openclaw gateway restart

The patch script is idempotent — checks for both /hooks/agent and _editDebounce markers.

Limitations

  • Requires patching OpenClaw source files (fragile across updates)
  • Feishu app needs drive.file.edit_v1 event subscription approval
  • Document must use the structured protocol format for reliable routing
  • Works best with docx type; other file types (sheets, slides) are not supported

Credits

Created by dongwei. Inspired by the need for real-time human-AI collaboration in Chinese enterprise workflows using Feishu/Lark.

License

MIT

Expand your agent's capabilities with these related and highly-rated skills.

LeoYeAI/openclaw-master-skills

audit-website

Audit websites for SEO, performance, security, technical, content, and 15 other issue cateories with 230+ rules using the squirrelscan CLI. Returns LLM-optimized reports with health scores, broken links, meta tag analysis, and actionable recommendations. Use to discover and asses website or webapp issues and health.

1,878 294
Explore
LeoYeAI/openclaw-master-skills

firecrawl

Web search and scraping via Firecrawl API. Use when you need to search the web, scrape websites (including JS-heavy pages), crawl entire sites, or extract structured data from web pages. Requires FIRECRAWL_API_KEY environment variable.

1,878 294
Explore
LeoYeAI/openclaw-master-skills

computer-use

Full desktop computer use for headless Linux servers. Xvfb + XFCE virtual desktop with xdotool automation. 17 actions (click, type, scroll, screenshot, drag, etc). Unlike OpenClaw's browser tool, operates at the X11 level so websites cannot detect automation. Includes VNC for live viewing.

1,878 294
Explore
LeoYeAI/openclaw-master-skills

social-media-analyzer

Social media campaign analysis and performance tracking. Calculates engagement rates, ROI, and benchmarks across platforms. Use for analyzing social media performance, calculating engagement rate, measuring campaign ROI, comparing platform metrics, or benchmarking against industry standards.

1,878 294
Explore
LeoYeAI/openclaw-master-skills

business-growth-skills

4 production-ready business and growth skills: customer success manager with health scoring and churn prediction, sales engineer with RFP analysis, revenue operations with pipeline and GTM metrics, and contract & proposal writer. Python tools included (all stdlib-only). Works with Claude Code, Codex CLI, and OpenClaw.

1,878 294
Explore
LeoYeAI/openclaw-master-skills

contract-and-proposal-writer

Contract & Proposal Writer

1,878 294
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results