Auto Weekly System for Openclaw

An automated reporting engine that collects multi-source data and publishes formatted weekly summaries directly to corporate communication platforms.

rf-ai-wh
v1.0.0
Mar 26, 2026
0
698
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install auto-weekly-report-system

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 auto-weekly-report-system 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 Auto Weekly System?

The Auto Weekly System is a robust tool designed within the Openclaw Skills ecosystem to eliminate the manual overhead of progress reporting. It systematically gathers production data from v3.5 environments, InStreet interaction statistics, and price monitoring databases to create cohesive, professional reports.

By leveraging this skill, teams can ensure consistent data transparency and high-frequency updates without manual intervention. The system transforms raw logs and JSON databases into human-readable Markdown documents, ensuring that key performance indicators and system health metrics are always front and center for stakeholders.

Auto Weekly System Use Cases

  • Automating the generation of weekly project status reports for distributed teams.
  • Synchronizing production data and system health checks into a centralized document.
  • Periodically summarizing price monitoring changes and market trends.
  • Streamlining team communication by pushing automated updates to WeChat Work (WeCom) docs.

How Auto Weekly System Works

  1. The collector module scans local and temporary files including v3.5 production logs and InStreet reply statistics.
  2. Raw data is parsed and aggregated to identify trends, system health status, and price fluctuations.
  3. The generator engine processes this data into a structured Markdown format, applying visualization via tables and highlighting anomalies.
  4. The publisher module interfaces with the WeChat Work API to create a new document or update an existing one.
  5. The system returns a shareable URL for the finalized report to be distributed to the team.

Auto Weekly System Setup

To integrate this into your workflow using Openclaw Skills, ensure you have Python 3 installed and follow these steps:

# Install required dependencies (ensure your environment matches the script requirements)
pip install -r requirements.txt

# Configure your data sources in /tmp or update paths in collector.py
# Run a manual test generation
python3 scripts/generate_weekly.py

# Publish to WeChat Work
python3 scripts/publish.py --title "Project Weekly Report"

Auto Weekly System Data Schema & Taxonomy

The Auto Weekly System relies on a specific taxonomy of local files to build reports:

Source File Description Format
v35_migration_config.json v3.5 Environment configuration JSON
agent_v35_production.log Production runtime logs Plain Text/Log
instreet_reply.log Interaction and reply statistics Plain Text/Log
price_monitor_db.json Historical and current price data JSON

Generated outputs are temporary Markdown files before being pushed to cloud-based document platforms.

Auto Weekly System Advanced Features

  • Full pipeline automation: Execute collection, generation, and publishing in a single command string.
  • Cron Integration: Support for scheduled execution (e.g., every Friday at 17:00) via standard crontab hooks.
  • Exception Highlighting: Automatically flags data points that fall outside of predefined health thresholds.
  • Multi-source Aggregation: Seamlessly blends configuration data, log files, and structured JSON databases into one narrative.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*