freeact

🥈Silver

Freeact is a code action agent with a local execution sandbox. It supports programmatic tool calling, enabling developers to automate complex workflows. It integrates with Python-based tools and workflows, benefiting operations teams by streamlining repetitive tasks.

12980Updated Yesterday

Intermediate30min to implementautomation

Quick InstallView Source

git clone https://github.com/gradion-ai/freeact.git

Works with:

Claude

Overview

About This Skill

How to Use

1. **Define the Task:** Clearly describe the workflow you want Freeact to automate, including inputs, dependencies, and desired outputs. Use specific file paths or API endpoints if applicable. 2. **Set Up Dependencies:** Ensure all required Python libraries (e.g., `pandas`, `matplotlib`) are installed in the Freeact sandbox. Specify versions if critical. 3. **Execute the Workflow:** Paste the prompt into Freeact and run it. Monitor the execution log for errors or warnings. 4. **Review Outputs:** Verify the generated files, logs, or data outputs. If errors occur, refine the prompt or adjust the workflow logic. 5. **Automate Repetitive Runs:** Use Freeact's scheduling features (e.g., cron jobs) to run the workflow periodically. Store outputs in a dedicated directory for versioning. **Tips:** - Use placeholders like `[INPUT_FILE]` or `[OUTPUT_DIR]` in your prompt to make it reusable. - For complex workflows, break the task into smaller steps and test each step individually. - Enable debug mode in Freeact to log detailed execution steps for troubleshooting.

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/gradion-ai/freeact

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Automate the following task using Freeact: [DESCRIBE_TASK]. Execute the Python-based workflow in the local sandbox. Handle any required inputs or dependencies automatically. Provide a summary of the steps taken and the final output. If errors occur, suggest fixes or alternatives.

Example Output

### Freeact Execution Summary

**Task:** Automate the generation of a quarterly sales report by extracting data from a CSV file, cleaning outliers, and generating a formatted PDF.

**Steps Executed:**
1. **Data Extraction:** Loaded `sales_data_q3_2024.csv` from the local directory using `pandas`. The file contained 12,450 records with columns: `date`, `product_id`, `region`, `revenue`, `units_sold`.
2. **Data Cleaning:** Identified and removed 42 outliers where `revenue` exceeded 3 standard deviations from the mean using `numpy`. Applied a rolling average to smooth weekly fluctuations in `units_sold`.
3. **Aggregation:** Grouped data by `region` and `product_id` to calculate total revenue and units sold. Generated a pivot table with `region` as rows and `product_id` as columns.
4. **Report Generation:** Used `matplotlib` to create a bar chart comparing revenue by region. Exported the cleaned data and chart to a PDF report titled `Q3_2024_Sales_Report.pdf` using `reportlab`.

**Output:**
- Cleaned dataset saved to `cleaned_sales_data_q3_2024.csv` (12,408 records).
- PDF report generated with 4 pages, including a summary table and chart.
- No errors encountered during execution.

**Suggested Next Steps:**
- Schedule this workflow to run automatically on the first Monday of each quarter using a cron job.
- Add email notifications to stakeholders with the PDF report attached.