Feishu Leave Request for Openclaw

A browser automation skill that facilitates the end-to-end submission of leave requests within the Feishu (Lark) corporate ecosystem.

baofeidyz
v1.0.1
Jan 30, 2026
3
4.7k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install feishu-leave-request

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install feishu-leave-request using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Feishu Leave Request?

The Feishu Leave Request skill is designed to handle the administrative process of applying for time off by automating interactions with the Feishu desktop application. By utilizing Openclaw Skills, this tool navigates the complex Feishu Workbench to locate the Approvals app, fills out required forms, and submits them on behalf of the user. It bridges the gap between simple chat commands and enterprise resource planning systems.

This skill ensures that all necessary data points—such as dates, leave types, and reasons—are meticulously collected and confirmed before any action is taken. It provides a robust way to interact with Feishu's internal Approval workflow, reducing the manual overhead typically associated with corporate administrative tasks.

Feishu Leave Request Use Cases

  • Automating the submission of annual leave requests through a simple conversational interface.
  • Standardizing the process of filing sick leave or personal days across a distributed team.
  • Reducing the time spent navigating the Feishu Workbench to find the Approvals application.
  • Ensuring leave request details are consistent and professionally formatted using Openclaw Skills.

How Feishu Leave Request Works

  1. The AI agent initiates a data collection phase to gather the specific date, duration, leave type, and reason from the user.
  2. A summary of the gathered information is presented for user confirmation to ensure accuracy.
  3. Upon confirmation, the skill uses browser automation to open the Feishu desktop app and navigate to the Workbench.
  4. It searches for and opens the Approvals (审批) application.
  5. The agent clicks 'Initiate Request', selects the 'Leave Request' form, and populates it with the confirmed data.
  6. After submission, the skill verifies the success of the operation and provides a reference ID or notification status to the user.

Feishu Leave Request Setup

To use this skill, ensure your Openclaw environment has the necessary permissions to interact with desktop applications. Feishu (Lark) must be installed and logged into your workstation.

# The skill is invoked through the Openclaw interface
# Ensure Feishu is running in the background
openclaw run feishu-leave-request

Feishu Leave Request Data Schema & Taxonomy

The skill organizes leave data according to the following schema to ensure compatibility with Feishu's internal forms:

Field Type Description
Date Range String The start and end dates for the leave period
Duration Enum Options include Half day, Full day, or Multiple days
Leave Type String Categories such as Annual, Personal, Sick, or Parental leave
Reason String A professional explanation for the request
Submission State Metadata Tracking the current step in the Openclaw Skills workflow

Feishu Leave Request Advanced Features

  • Intelligent navigation fallback: Automatically uses the search function if the Workbench icons are not immediately visible.
  • Multi-type support: Capable of handling various leave categories including Maternity, Paternity, and Sick leave.
  • Verification via screenshots: Uses visual cues to confirm the agent is on the correct page during each step of the automation.
  • Error resilience: Detects validation errors on the Feishu form and prompts the user for corrected information in real-time.

SKILL.md


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