A lightweight Python utility library providing essential tools for AI agents to manage files, process text, and handle session memory.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-agent-tools
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 ai-agent-tools 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 AI Agent Tools?
AI Agent Tools is a comprehensive Python library designed to streamline the development of autonomous agents by providing a set of standardized utilities. This library simplifies common tasks such as file system interaction, data extraction, and structured data transformation. By using these Openclaw Skills, developers can build more robust agents without worrying about the underlying boilerplate code for regex extraction or session persistence.
The library is built using only the Python standard library, ensuring zero external dependencies and maximum compatibility across different environments. Whether you are building a simple scraper or a complex multi-agent system, these tools provide the foundational capabilities required for modern AI development.
AI Agent Tools Use Cases
- Extracting contact information like emails, URLs, and phone numbers from unstructured text documents.
- Managing agent memory and session state during multi-turn conversations or complex tasks.
- Automating file system operations such as reading configurations, listing resources, or saving agent outputs.
- Converting between data formats like CSV and JSON to process API responses or generate reports.
- Performing data validation to ensure quality and integrity before processing information.
How AI Agent Tools Works
- Initialize the desired tool module, such as FileTools or TextTools, within your Python environment.
- Invoke specific utility functions to perform operations like reading files, extracting data via regex, or transforming data structures.
- Utilize MemoryTools to store and retrieve intermediate results, maintaining context throughout the agent's execution lifecycle.
- Apply ValidationTools to verify the integrity of extracted data, such as checking for valid email formats or phone numbers.
- Combine multiple tools into a pipeline where data flows from extraction to validation and finally to storage or memory.
AI Agent Tools Setup
To start using these Openclaw Skills in your project, you can install the library using one of the following methods:
Method 1: Clone from GitHub
git clone https://github.com/cerbug45/ai-agent-tools.git
cd ai-agent-tools
Method 2: Direct Download
wget https://raw.githubusercontent.com/cerbug45/ai-agent-tools/main/ai_agent_tools.py
Requirements:
- Python 3.7 or higher
- No external dependencies (standard library only)
AI Agent Tools Data Schema & Taxonomy
AI Agent Tools organizes data through specialized modules. The following schema outlines how different data types are handled:
| Module | Data Handled | Data Format |
|---|---|---|
| FileTools | File content, directory structures | String, List |
| TextTools | Emails, URLs, word counts, summaries | List, Integer, String |
| DataTools | JSON objects, CSV rows | Dictionary, List[Dict] |
| MemoryTools | Session state, key-value pairs | Dictionary |
| UtilityTools | Timestamps, unique IDs, math results | String, Float |
| ValidationTools | Boolean validation flags | Boolean |
AI Agent Tools Advanced Features
- Chaining operations to create complex data processing pipelines (e.g., Read -> Clean -> Extract -> Save).
- Direct integration hooks for LangChain tools and OpenAI function calling specifications.
- Persistent memory management for maintaining long-term context across agent sessions.
- Built-in test suite to verify tool functionality and ensure reliability in production environments.
- Zero-dependency architecture allowing for easy injection into containerized or serverless agent environments.
SKILL.md
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