An automated reporting engine that collects multi-source data and publishes formatted weekly summaries directly to corporate communication platforms.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install auto-weekly-report-system
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
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).
Get the raw skill files in a ZIP archive.
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.
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"
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.
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