Agent-Skills.md

Agent Skills: hello_world

A fundamental skill that demonstrates the basic execution of a Python script. It serves as a "Hello, World!" example for the skill system, verifying that the environment is correctly set up and that the agent can execute scripts.

UncategorizedID: smallnest/langgraphgo/hello_world

Repository

smallnest/langgraphgo
smallnestLicense: MIT
22335

Install this agent skill to your local

pnpm dlx add-skill https://github.com/smallnest/langgraphgo/tree/HEAD/examples/goskills_example/skills/hello_world

Skill Files

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examples/goskills_example/skills/hello_world/SKILL.md

name: hello_world description: A fundamental skill that demonstrates the basic execution of a Python script. It serves as a "Hello, World!" example for the skill system, verifying that the environment is correctly set up and that the agent can execute scripts. version: 1.0.0 license: MIT

Overview

The hello_world skill is the simplest possible skill in the ecosystem. Its primary purpose is to validate the operational status of the skill runner and the agent's ability to invoke tools.

Functionality

When invoked, this skill executes a Python script that prints a greeting message to the standard output. This confirms:

  1. Script Execution: The agent can successfully locate and run a Python script.
  2. Output Capture: The system can capture the standard output from the script and return it to the agent.
  3. Tool Integration: The skill is correctly registered and accessible as a tool.

Usage

This skill is typically used in the following scenarios:

  • System Health Check: To verify that the agent and skill runner are functioning correctly.
  • Onboarding: As a first step for developers learning how to create and use skills.
  • Debugging: To isolate issues with script execution or tool invocation.

Example Command

To use this skill, the agent must execute the following command:

scripts/hello.py

Implementation Details

The skill consists of a single Python script hello.py which performs a simple print operation. No external dependencies or complex logic are involved, ensuring that any failure is likely due to the environment or configuration rather than the skill itself.