Summary: The most painful thing every Friday afternoon isn't the meetings — it's writing the weekly report. You have to dig through chat logs for project updates, manually compile data from spreadsheets, and struggle to articulate next week's plan. All in, it eats up an hour of your life. This article shows you how to use OpenClaw to build an "AI worker" in 5 minutes that automatically pulls data from Feishu/DingTalk, generates a weekly report from a template, and sends it to your team channel on a schedule. From now on, you leave work on time every Friday — and your report is better than the one you used to write manually.

Part 1: The Nature of Weekly Reports — It's Not Writing, It's Data Integration

Let's start with an uncomfortable truth: 80% of the time you spend writing your weekly report is repetitive labor.

Open your weekly report template. The content is always these sections:

• Work Completed This Week: Copy-pasted from your Feishu project board or DingTalk task list.
• Data Metrics: Manually copied numbers from Feishu Multi-Dimensional Tables or DingTalk Yida forms.
• Problems & Risks: Pieced together from memory, with important items frequently omitted.
• Next Week's Plan: Copy-paste unfinished tasks into a new week.

All of these share one characteristic: the data sources are structured, but the extraction and integration process is manual. Feishu and DingTalk already record all this information, yet you have to manually transcribe it again. This isn't work — it's useless toil.

What OpenClaw does is automate this "manual transcription" process.

OpenClaw is fundamentally an AI Agent platform that runs on your device. It can connect to Feishu and DingTalk via APIs, periodically fetch data, call a large language model to generate natural-language weekly reports, and then push them to group chats or documents via webhooks. The entire process requires no manual intervention — you just spend 5 minutes configuring it once, and then it's "set it and forget it."

Part 2: Build It in 5 Minutes — The Complete Flow from Zero to Running

Prerequisites (1 minute)

You only need: 1. A device running OpenClaw (Kaihe AIBOX-A1 is the best fit — runs 24/7, doesn't shut down when you leave work) 2. Feishu Open Platform or DingTalk Open Platform application credentials (App ID + App Secret) 3. A weekly report template (the output format you want)

Step 1: Install OpenClaw (30 seconds)

If you're using a Kaihe AIBOX-A1, OpenClaw comes pre-installed. You only need to: 1. Access the device IP in your browser 2. Bind with WeChat QR code scan 3. Enter your large model API Key

Done. You now have a 24/7 AI Agent platform.

If you're running it on your own computer, refer to the previous article "OpenClaw Zero to Hero 2026: A Complete Beginner's Installation Guide" and get it installed in 10 minutes.

Step 2: Configure Feishu/DingTalk Skill (2 minutes)

OpenClaw's Skill mechanism is its core competitive advantage — no coding required; find an existing Skill, install it, and it works.

On OpenClaw's Skill management page, search for and install the following Skills (if they're not in the Skill Hub, you can ask OpenClaw to write one for you — it can write Skills itself):

• Feishu Multi-Dimensional Tables Skill: Read data and tables from Feishu
• DingTalk Yida Skill: Read DingTalk Yida form and application data
• Scheduled Task Skill (qclaw-cron-skill): Set up timed triggers

After installation, you need to enter your Feishu/DingTalk App credentials in the Skill configuration. Taking Feishu as an example:

App ID: cli_xxxxxxxxxxxxxxxx
App Secret: xxxxxxxxxxxxxxxx
App Token: bascnxxxxxxxxxxxx (App Token for the Multi-Dimensional Table)

You can obtain these credentials from the Feishu Open Platform backend. Follow OpenClaw's guided pages — if you get stuck, just ask OpenClaw directly: "Help me get the Feishu Multi-Dimensional Table App Token," and it will walk you through it step by step.

Step 3: Write the Weekly Report Generation Prompt (2 minutes)

This is the most critical step. You need to tell OpenClaw:

1. Data sources: Which tables/task lists to pull data from
2. Report format: Your company's weekly report template format
3. Delivery method: Which group/which document to send to

A standard weekly report generation Prompt looks like this (copy and modify names directly):

You are a professional weekly report assistant. Please help me generate this week's work report.

Data sources:
- Feishu Multi-Dimensional Table "Project Progress Table", filter: Assignee=Me, Updated This Week > This Monday
- Feishu Task List, filter: Assignee=Me, Status=Completed, Completion Time=This Week

Report format:
## Work Completed This Week
(List specific completed tasks and deliverables)

## Key Data
(Extract core metrics from the multi-dimensional table, display in table format)

## Problems & Risks
(Based on task status and notes, summarize blockers)

## Next Week's Plan
(Extract tasks with Status=In Progress + Not Started from the task list)

After outputting, please send to Feishu group "Product Weekly Report Group" via webhook, and sync to Feishu Document "Weekly Report Archive/{This Week's Date}."

Save this Prompt as an OpenClaw "conversation template" or "Skill configuration." After that, each time it's triggered, you only need to say one sentence: "Generate this week's report using last week's template."

Step 4: Set Up Scheduled Trigger (30 seconds)

Use the qclaw-cron-skill to set up a scheduled task:

Every Friday 16:00, automatically execute the weekly report generation flow
→ Call Feishu Skill to read data
→ Call the large model to generate the weekly report
→ Push to Feishu group + archive to Feishu Document

After setup is complete, every Friday at 4 PM, your weekly report will automatically appear in the group, while also being archived to the specified document. You only need to give it a final review, change a few words (if needed), and then happily leave work.

Part 3: Real-World Results — The Difference Between 1 Hour and 5 Minutes

After this flow is up and running, what are the actual results? We tracked three users in different roles. The data is as follows:

More importantly: The data accuracy of weekly reports improved significantly. When manually compiling, you always miss some details — a task quietly got completed but the status wasn't updated, a data metric in the spreadsheet didn't get copied over. OpenClaw reads directly from the data source. As long as the data in Feishu/DingTalk is accurate, the report is accurate.

Additionally, because reports are automatically archived, when you want to review the complete history of a project six months later, all weekly reports are there — you can find them by searching for keywords. This is very difficult to achieve with manual reporting.

Part 4: Why OpenClaw + Kaihe AIBOX-A1?

You might ask: Zapier/Make/Feishu Automation can also do this kind of automation. Why use OpenClaw?

Three core differences:

First, OpenClaw has a "brain," other tools only have "flows."

Zapier does "if A happens, then execute B" — it's deterministic flow. But writing a weekly report requires understanding and generating natural language. How do you organize the same data into a coherent report? How do you highlight this week's key points? How do you use the right tone for different audiences? These require the reasoning capabilities of a large language model. OpenClaw natively integrates large model invocation — Zapier can't do this.

Second, Kaihe AIBOX-A1 lets the Agent truly run 24/7.

You can run OpenClaw on your own computer, but your computer can't stay on 24/7. You shut down and leave work on Friday afternoon — the scheduled task should have run, but your computer was off. If you're using Kaihe AIBOX-A1, this small device consumes only a few watts of power and can stay on all year without shutdown. Scheduled tasks fire on time, every time. And because it's physically isolated from your main PC, your report won't fail to send just because your computer is lagging, shut down, or running a game.

Third, data doesn't leave your local device — secure and compliant.

Feishu/DingTalk API credentials and weekly report data are all stored on your own device. They don't pass through third-party automation platforms. For enterprises with data security requirements (finance, healthcare, government), this is critically important.

Part 5: Not Just Weekly Reports — Here's What Else OpenClaw Can Do

Weekly reports are just the entry point. The OpenClaw + Feishu/DingTalk combination can actually cover a large number of enterprise efficiency scenarios:

• Monthly/Quarterly Report Auto-Generation: Same principle as weekly reports, just different time spans and data granularity.
• Project Risk Early Warning: Daily scheduled scan of Feishu task lists; if a task's deadline is near but progress < 50%, automatically @ the assignee.
• Meeting Notes Auto-Generation + Distribution: Feishu meeting recording → transcription → OpenClaw extracts action items → automatically creates tasks + sends to group.
• Client Follow-up Reminders: Read the last contact time from CRM/Feishu spreadsheet; if no follow-up within 7 days, automatically remind the salesperson.
• Data Anomaly Monitoring: Periodically read business data spreadsheets; if abnormal fluctuations are detected, automatically send an alert to the management group.

The common thread across all these scenarios: the data is in the system, but someone needs to watch it daily, periodically organize it, and proactively push it out. OpenClaw replaces that person — and it doesn't goof off, doesn't take leave, and never gets annoyed.

Part 6: What "AI Worker" Really Means

"Auto-generating weekly reports" sounds like a small requirement, but the significance behind it is worth thinking about.

Our generation of knowledge workers spends too much time on low-value repetitive labor — organizing data, filling in templates, sending notifications. These things don't require creativity or judgment, but they consume massive amounts of time. The result: the truly important thinking, planning, and creative work gets squeezed out for lack of time.

An AI Agent platform like OpenClaw is fundamentally doing one thing: freeing humans from repetitive labor, letting AI handle the execution layer while humans focus on the decision layer.

Weekly report automation is just the beginning. After your AI worker handles weekly reports, monthly reports, data monitoring, and risk early warnings for you, you suddenly realize you have an extra three or four hours every week. Those three or four hours can be used for deep product strategy thinking, learning new skills, or simply leaving work early to spend time with family.

This is the change AI should bring: not replacing humans, but freeing humans from inefficient labor.

And an intelligent agent computer like the Kaihe AIBOX-A1 is the vehicle that makes this change real — it lets AI Agents truly start running, keep running, and run stably, becoming that "always online, never slacking" invisible employee on your team.

KaiheAiBox #OpenClaw #AIAgent #AgentComputer #EnterpriseAutomation #FeishuAutomation

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