Ai Agent Tools

What This Skill Does

AI Agent Tools by cerbug45 is a comprehensive Python-based utility library designed specifically for AI agents operating within the OpenClaw environment. It provides a robust suite of functions aimed at simplifying complex programmatic tasks without the overhead of external dependencies. By bundling essential file system management, intricate text processing, and data transformation routines, this skill serves as an "agent Swiss Army knife," enabling AI systems to interact with the local environment, clean unstructured data, and handle common formats like JSON and CSV natively. It effectively abstracts away boilerplate code, allowing your agent to focus on logic rather than standard library implementation.

Installation

To integrate this utility library into your local environment, ensure you have Python 3.7 or higher installed. Use the following command in your terminal: clawhub install openclaw/skills/skills/cerbug45/ai-agent-tools

Alternatively, you can manually clone the repository from GitHub or directly download the ai_agent_tools.py script and include it in your project's import path. No additional environment setup is required as the library relies exclusively on the Python standard library.

Use Cases

This skill is highly versatile and supports a wide range of operational requirements:

1. Automating configuration management by reading and writing JSON files dynamically.
2. Scrubbing unstructured text extracted from websites or logs to identify contact details or links.
3. Pre-processing large datasets by converting messy CSV strings into structured dictionary lists for further analysis.
4. Managing file systems to organize, clean, or audit project directories as part of an autonomous workflow.

Example Prompts

1. "Scan the contents of the logs folder and summarize the total number of entries, then save the count into a file named summary.json."
2. "Extract all email addresses and phone numbers from the provided raw text block and format them into a clean JSON output."
3. "Please read the project requirements from requirements.txt, clean up the whitespace, and verify if the file currently exists in the directory."

Tips & Limitations

When using these tools, remember that FileTools operates with direct access to your local filesystem. Always verify paths before executing write operations to avoid unintended overwriting. TextTools performance is highly efficient for standard string operations, though massive documents (multi-gigabyte) might cause latency in the summarize_text function. Ensure your agent has appropriate write permissions in the target directory to allow for successful file operations.