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AlphaLab-USTC
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add-tool

Create OhMyCode tools with JSON Schema parameters and pytest validation.

131|4|Updated Apr 1, 2026
Search Tags:#automation#pytest#python#tooling#extension#json schema
One-click install
npx skills add https://github.com/AlphaLab-USTC/OhMyCode --skill add-tool-alphalab-ustc
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: add-tool
Source: https://github.com/AlphaLab-USTC/OhMyCode/tree/main/.agents/skills/add-tool
Command: npx skills add https://github.com/AlphaLab-USTC/OhMyCode --skill add-tool-alphalab-ustc

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you extend OhMyCode with a new tool when you need the assistant to perform a capability it does not yet have, such as querying databases, calling external utilities, or automating a project-specific action.

Core Features & Use Cases

  • Tool Design Guidance: Defines the tool name, description, parameters, and concurrency safety before implementation.
  • Implementation Workflow: Shows how to create the tool file from the template, wire in the logic, and keep it compatible with OhMyCode's auto-import system.
  • Test-Driven Validation: Includes a repeatable testing workflow so the new tool is verified before use.
  • Use Case: If a user wants the assistant to run SQL queries or manage a Docker action, this Skill guides the full process from specification to tests.

Quick Start

Use the add-tool skill to help me design and implement a new tool for OhMyCode that runs SQL queries.

Frequently Asked Questions about add-tool

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

FAQPage Schema
How do I add a custom tool to my Python assistant for shell automation?▼

To add a custom tool for shell automation, you define the tool specification, edit the source files from a template, define JSON Schema parameters, and validate the behavior with pytest before use.

What's the best way to extend an AI assistant with database query capabilities?▼

The best way to extend an assistant with database query capabilities is to design the tool name and parameters, implement the logic compatible with an auto-import system, and verify the behavior with pytest.

Do I need to define JSON Schema parameters when creating a custom assistant tool?▼

Yes, you need to define JSON Schema parameters when creating a custom tool to specify the input structure, ensure concurrency safety, and wire the logic into the tool source files correctly.

How does test-driven validation work for new Python tooling extensions?▼

Test-driven validation for new Python tooling uses a repeatable pytest workflow to verify the new tool's behavior, ensuring the implementation meets the original specification before deployment.

Can I use pytest to validate project-specific integrations before wiring them into the assistant?▼

Yes, you can use pytest to validate project-specific integrations by running a repeatable testing workflow that checks the tool logic and parameters before the tool is integrated.

Why does my custom assistant tool fail to auto-import after implementation?▼

Custom assistant tools fail to auto-import when the implementation is not kept compatible with the auto-import system, making it necessary to follow the template structure and validate with pytest.

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