AIGNE DocSmith is an AI-powered tool that streamlines the documentation process by generating detailed and structured documents in multiple languages directly from source code. Ideal for developers seeking efficiency in documentation.
claude install AIGNE-io/aigne-doc-smithAIGNE DocSmith is an AI-powered tool that streamlines the documentation process by generating detailed and structured documents in multiple languages directly from source code. Ideal for developers seeking efficiency in documentation.
1. **Identify the Project**: Clearly define the project for which you need documentation. Gather all relevant code files and resources. 2. **Specify Requirements**: Determine the sections and details you want to include in the documentation, such as setup instructions, API references, and usage examples. 3. **Choose Language and Format**: Decide on the language (e.g., English, Spanish) and format (e.g., Markdown, HTML) for the documentation. 4. **Generate Documentation**: Use the prompt template to generate the documentation. Review the output for accuracy and completeness. 5. **Review and Edit**: Make any necessary edits to ensure the documentation is clear, concise, and error-free.
Automating API documentation from code comments
Generating user manuals in multiple languages
Creating technical specifications directly from code structure
claude install AIGNE-io/aigne-doc-smithgit clone https://github.com/AIGNE-io/aigne-doc-smithCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Generate comprehensive documentation for the [PROJECT_NAME] codebase. Include sections for setup instructions, API references, and usage examples. Ensure the documentation is clear, concise, and suitable for developers of all experience levels. Output the documentation in [LANGUAGE] and [FORMAT].
## Project Name: DataSync
### Overview
DataSync is a robust data synchronization tool designed to streamline the process of keeping multiple databases in sync. It supports various database systems, including MySQL, PostgreSQL, and MongoDB, and provides real-time synchronization capabilities.
### Setup Instructions
1. **Prerequisites**: Ensure you have Python 3.8 or later installed on your system.
2. **Installation**: Clone the repository and install the required dependencies using pip:
```bash
git clone https://github.com/example/DataSync.git
cd DataSync
pip install -r requirements.txt
```
3. **Configuration**: Create a configuration file `config.yaml` in the root directory with your database connection details.
### API References
#### initialize_synchronization(source_db, target_db)
Initializes the synchronization process between the source and target databases.
Parameters:
- `source_db` (dict): A dictionary containing the source database connection details.
- `target_db` (dict): A dictionary containing the target database connection details.
Returns:
- `sync_id` (str): A unique identifier for the synchronization process.
Example:
```python
source_db = {
'host': 'localhost',
'port': 3306,
'user': 'admin',
'password': 'password',
'database': 'source_db'
}
target_db = {
'host': 'localhost',
'port': 3306,
'user': 'admin',
'password': 'password',
'database': 'target_db'
}
sync_id = initialize_synchronization(source_db, target_db)
```
### Usage Examples
#### Synchronizing Two MySQL Databases
```python
from datasync import DataSync
# Initialize DataSync
sync = DataSync()
# Define source and target databases
source_db = {
'host': 'localhost',
'port': 3306,
'user': 'admin',
'password': 'password',
'database': 'source_db'
}
target_db = {
'host': 'localhost',
'port': 3306,
'user': 'admin',
'password': 'password',
'database': 'target_db'
}
# Start synchronization
sync.start_synchronization(source_db, target_db)
```
### Troubleshooting
- **Error: Connection Refused**: Ensure that the database server is running and the connection details are correct.
- **Error: Authentication Failed**: Verify that the username and password are correct.
- **Error: Table Not Found**: Check that the table exists in the source database.
### Support
For any issues or questions, please open an issue on the GitHub repository or contact the support team at support@example.com.Manage microservices traffic and enhance security with comprehensive observability features.
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