An automated workflow that fetches team data, leverages AI for content synthesis, and generates professional Word documents for weekly reporting.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install weekly-report-openclaw
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 weekly-report-openclaw using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Weekly Report skill is a robust automation tool designed to streamline the tedious process of gathering and summarizing work logs. By integrating browser automation with advanced LLM processing, this skill helps teams within the Openclaw Skills ecosystem maintain clear and consistent communication without manual data entry.
It handles everything from secure authentication and data scraping to intelligent categorization using models like DeepSeek. The final output is a high-quality Word document structured according to organizational needs, making it an essential tool for developers and project managers who value efficiency.
To get started with this skill in the Openclaw Skills directory, run the environment setup script:
cd skills/weekly-report/scripts
# For macOS/Linux
chmod +x setup.sh && ./setup.sh
# For Windows (PowerShell)
./setup.ps1
Next, configure the necessary environment variables for authentication and AI processing:
export WEEKLY_REPORT_USERNAME="your_username"
export WEEKLY_REPORT_PASSWORD="your_password"
export DEEPSEEK_API_KEY="your_api_key"
The skill processes data into a structured JSON format before exporting to Word. The schema includes:
| Attribute | Description |
|---|---|
| success | Indicates if the generation process completed |
| output_file | The file path of the generated .docx document |
| items_count | Total number of raw entries retrieved |
| week_range | The specific date range covered by the report |
Work is automatically categorized into sections like Talent Transformation, Independent Development, Sci-Tech Support, and AI Architecture.
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