A command-line tool for generating detailed visualizations and time-based distribution analysis of Git repository commits.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install gitstats
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 gitstats 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 Pywayne Git Commit Stats?
Pywayne Git Commit Stats is a specialized utility designed for developers and team leads who need to understand engineering velocity and temporal commit patterns within their repositories. By extracting and processing Git history, the skill transforms raw commit logs into intuitive visual reports that highlight activity trends over days, hours, and weekdays. This tool is a valuable addition to the Openclaw Skills collection, enabling data-driven insights into how and when code is being contributed to a project.
Whether you are auditing a single branch or performing a comprehensive analysis across an entire repository, this skill automates the complex task of timezone conversion and data aggregation. It provides a professional-grade visualization suite that helps teams identify peak productivity windows and potential bottlenecks in the development lifecycle.
Pywayne Git Commit Stats Use Cases
- Auditing developer productivity and commit frequency across different time zones.
- Generating visual activity reports for repository stakeholders or annual reviews.
- Identifying high-activity periods to better schedule deployments or maintenance windows.
- Visualizing the distribution of work across different branches using Openclaw Skills functionalities.
- Analyzing historical commit trends to understand how project velocity has changed over time.
How Pywayne Git Commit Stats Works
- The skill executes Git commands to retrieve commit metadata from the specified repository path.
- It extracts timestamps for every commit and applies a conversion to the user's preferred timezone (defaulting to Asia/Shanghai).
- The data is aggregated using pandas to calculate counts per hour, per day, and per weekday.
- A visual visualization engine generates a 3x2 subplot layout containing line charts, bar charts, and an activity heatmap.
- The final report is either rendered as a popup window for immediate review or saved as a high-resolution PNG file.
Pywayne Git Commit Stats Setup
To use this skill, ensure you have Git and Python installed on your system. The tool relies on pandas and matplotlib for data processing and visualization.
# Install the necessary package
pip install pywayne
# Run a basic analysis on your current repository
gitstats
# Run analysis and save the output to a specific file
gitstats --save development_activity.png
Pywayne Git Commit Stats Data Schema & Taxonomy
The skill organizes repository data into several visual dimensions to provide a holistic view of activity. The following table describes the data points captured in the output charts:
| Visualization Type | Description |
|---|---|
| Commits per Day | A line chart tracking the volume of commits over the specified calendar period. |
| Commits by Hour | A 24-hour bar chart showing which hours of the day see the most code submissions. |
| Commits by Weekday | A bar chart distributing commits across Monday through Sunday. |
| Activity Heatmap | A 2D matrix visualizing the intersection of Weekdays and Hours for precise peak identification. |
Pywayne Git Commit Stats Advanced Features
- Support for Git's flexible relative date strings such as "90 days ago" or "1 year ago".
- Multi-branch analysis capabilities allowing users to aggregate data from all branches simultaneously.
- Custom timezone configuration to align commit data with local team schedules.
- Interactive plot mode using the
-pflag for rapid analysis without file generation. - Precise filtering by specific branch names to isolate work streams within the Openclaw Skills environment.
SKILL.md
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