A specialized quality management tool that automates the generation of comprehensive daily, weekly, and monthly quality reports in both Excel and PowerPoint formats.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install quality-report
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install quality-report 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 Quality Report Agent?
The Quality Report skill is designed for quality teams, production managers, and manufacturing departments to streamline the reporting of key performance indicators (KPIs). By leveraging Openclaw Skills, users can transform raw manufacturing data into professional-grade reports. Whether you need a simple one-page summary or a complex multi-page strategic analysis, this agent handles the data synthesis, formatting, and file generation.
One of the standout features of this skill is its ability to handle data gaps gracefully. If specific metrics are unavailable, it generates realistic mock data based on industry standards, ensuring that users always have a complete template to present. It supports various report variants including Daily, Simple Weekly/Monthly, and Complex Strategic reports, catering to both internal line updates and high-level management meetings.
Quality Report Agent Use Cases
- Automating quality daily report generation for production line yield and defect tracking.
- Creating quality weekly report summaries comparing current performance against previous week targets.
- Developing complex quality monthly report presentations for management reviews and OEM customer updates.
- Generating quality KPI report templates using mock data when starting a new project or site.
- Consolidating quality data across multiple factories or sites into a single unified report.
How Quality Report Agent Works
- The user triggers the skill by requesting a quality report for a specific period (day, week, or month).
- For weekly and monthly requests, the agent presents a template selection menu (Simple, Full Process, Multi-factory, or Process Inspection).
- The user defines the scope (e.g., Line A, Site B) and provides available data such as yield, PPM, or customer complaints.
- If data is missing, the agent calculates realistic mock figures to ensure a complete report structure.
- The agent generates a structured report containing metrics, issues, corrective actions, and future focus areas.
- The system produces dual outputs: an Excel file for data management and a PowerPoint file for presentations.
Quality Report Agent Setup
To use this within your environment, ensure you have the necessary libraries for file generation. Openclaw Skills can utilize Python-based automation for native file creation.
# Ensure dependencies are available for .xlsx and .pptx generation
pip install openpyxl python-pptx
Simply invoke the agent with triggers like "generate a quality weekly report" to begin the guided workflow.
Quality Report Agent Data Schema & Taxonomy
The skill organizes data into a multi-layered taxonomy to ensure compatibility between Excel and PPT outputs:
| Data Layer | Fields Included |
|---|---|
| Basic Info | Report type, period, scope, reporter, and date. |
| Metrics | Output, Yield (%), Defect Count, PPM, Cpk, and Line Stops. |
| Events | Major issues, 8D status, corrective actions, and owners. |
| Customer Quality | Complaints summary, customer-specific PPM, and feedback. |
| Future Planning | Next period focus items and improvement projects. |
Files are consistently named using the pattern: Quality-Report-{Type}-{Variant}-{Date}.xlsx.
Quality Report Agent Advanced Features
- Dual-format export: Simultaneously generates native .xlsx and .pptx files using Python automation.
- Intelligent Mocking: Uses industry-plausible ranges (e.g., Cpk 1.2–1.5) to fill data gaps.
- Visualization Support: Automatically generates Mermaid.js code or data specifications for trend charts, Pareto diagrams, and defect pie charts.
- Multi-Site Aggregation: Specialized templates for summarizing data from Factory A, B, and C.
- Custom Company Formats: Ability to map standard quality data into user-defined section headers and corporate styles.
SKILL.md
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