Cherry Studio is an agentic AI desktop that combines an AI agent, a coding agent, and 300+ assistants. It enables autonomous coding, intelligent automation, and unified access to frontier LLMs. Operations teams benefit from streamlined workflows, reduced manual coding tasks, and enhanced productivity. It connects to various tools and workflows, making it a versatile solution for automation needs.
git clone https://github.com/CherryHQ/cherry-studio.githttps://docs.cherry-ai.com/docs/en-us
["1. **Define the Task**: Clearly outline the task you want to automate. Break it down into specific steps that the workflow should follow.","2. **Integrate Tools**: Identify the tools and APIs that the workflow will need to integrate with. Ensure you have the necessary access and credentials.","3. **Create the Workflow**: Use Cherry Studio's interface to create the workflow. Add the AI agent and coding agent components as needed. Configure each step with the appropriate code snippets and settings.","4. **Test the Workflow**: Run the workflow in a test environment to ensure it functions as expected. Make any necessary adjustments based on the test results.","5. **Schedule the Workflow**: Once the workflow is tested and validated, schedule it to run at the appropriate intervals. Monitor the workflow's performance and make adjustments as needed."]
Automate repetitive coding tasks by leveraging AI assistants for code generation.
Integrate multiple LLMs to enhance the capabilities of chatbots and virtual assistants.
Streamline document processing by automating the extraction and analysis of text from various formats.
Create custom AI assistants tailored to specific project needs, improving team collaboration.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/CherryHQ/cherry-studioCopy 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.
Create a workflow in Cherry Studio to automate the process of [TASK]. The workflow should include the following steps: [STEP1], [STEP2], and [STEP3]. Ensure the workflow integrates with [TOOL1] and [TOOL2]. Provide the necessary code snippets and configuration details.
To automate the process of generating monthly sales reports, we can create a workflow in Cherry Studio that includes the following steps:
1. **Data Collection**: The AI agent will connect to the sales database and extract the relevant data for the month. It will use the following SQL query:
```sql
SELECT * FROM sales WHERE month = '2023-10';
```
2. **Data Processing**: The coding agent will process the data to calculate total sales, average sales per day, and top-selling products. It will use Python scripts to perform these calculations.
```python
import pandas as pd
df = pd.read_sql_query(query, connection)
total_sales = df['amount'].sum()
avg_sales_per_day = total_sales / 30
top_selling_products = df.groupby('product').sum().sort_values('amount', ascending=False).head(5)
```
3. **Report Generation**: The AI agent will generate a comprehensive sales report in PDF format using the processed data. It will use a report generation tool like JasperReports to create the report.
4. **Email Notification**: The workflow will automatically send the generated report to the sales manager via email using an email integration tool like SendGrid.
The workflow will be scheduled to run on the first day of every month to ensure timely report generation and distribution.Employee wellness perks platform
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