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AgentTeam-TaichuAI
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tool-creator

Create and upgrade executable Python tools decorated with @tool.

630|68|Updated Mar 13, 2026
Search Tags:#automation#testing#python#sandbox#tool#tool-creation
One-click install
npx skills add https://github.com/AgentTeam-TaichuAI/ScienceClaw --skill tool-creator-agentteam-taichuai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tool-creator
Source: https://github.com/AgentTeam-TaichuAI/ScienceClaw/tree/main/ScienceClaw/backend/builtin_skills/tool-creator
Command: npx skills add https://github.com/AgentTeam-TaichuAI/ScienceClaw --skill tool-creator-agentteam-taichuai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Create and upgrade executable agent tools to extend capabilities and adapt to user needs.

Core Features & Use Cases

  • Enable users to implement new tools as Python functions decorated with @tool, and upgrade existing tools.
  • Provide a standardized workflow for testing in the sandbox and saving via propose_tool_save to the Tools directory.
  • Supports converting scripts into reusable tools and managing the tool lifecycle across development and production.

Quick Start

Create a new @tool function in Python, test it in the sandbox, then save it to the Tools directory.

Frequently Asked Questions about tool-creator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create a reusable Python tool for an agent?▼

To create a reusable Python tool, implement a new function decorated with @tool, test it in a sandbox, and save it to the Tools directory via the propose_tool_save workflow.

What are the requirements for agent tool creation?▼

Agent tool creation requires one tool per file, descriptive docstrings, and type hints to ensure proper execution and lifecycle management within the sandbox environment.

Can I convert existing Python scripts into agent tools?▼

Yes, you can convert existing scripts into reusable agent tools by wrapping the logic in a Python function decorated with @tool and following the approved save workflow.

How do I test and upgrade executable tools in a sandbox?▼

You test and upgrade executable tools by running the modified @tool Python functions within the sandbox environment, then saving the finalized versions to the Tools directory.

Does agent tool creation support managing the tool lifecycle across environments?▼

Yes, it supports managing the tool lifecycle across development and production by enforcing standardized testing in the sandbox and saving approved tools via propose_tool_save.

What is the best way to manage tool lifecycle in a sandbox environment?▼

The best way to manage tool lifecycle in a sandbox is to develop @tool Python functions, test them thoroughly, and use propose_tool_save to store them in the Tools directory.

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