example-skill

Register an example_tool that echoes a message and returns a timestamp.

3|3|Updated Feb 5, 2026
One-click install
npx skills add https://github.com/XPRNetwork/xpr-agents --skill example-skill-xprnetwork
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: example-skill
Source: https://github.com/XPRNetwork/xpr-agents/tree/main/openclaw/skill-template
Command: npx skills add https://github.com/XPRNetwork/xpr-agents --skill example-skill-xprnetwork

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Quickly prototype and publish a minimal example skill to demonstrate the Skill API integration and tool exposure within an AI agent environment.

Core Features & Use Cases

  • Minimal example tool: A basic tool named example_tool that echoes a message and returns a timestamp, enabling end-to-end testing of tool registration and invocation.
  • Use Case: Quick validation of the Skill API workflow in development and onboarding scenarios.

Quick Start

Call example_tool with a message parameter to see the echoed response and timestamp.

Frequently Asked Questions about example-skill

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

FAQPage Schema
How do I register and expose a basic tool in a TypeScript AI agent environment?

To register a basic tool in a TypeScript AI agent, you use an OpenClaw-compatible SkillApi runtime to expose a deterministic tool for invocation. This example skill enables quick prototyping and end-to-end testing of tool registration.

What is a minimal example tool for testing AI agent tool invocation?

A minimal example tool for testing AI agent tool invocation accepts a string message and returns an object containing the echoed message alongside a timestamp. This mechanism validates the Skill API workflow in controlled development environments.

How do I quickly prototype a tool-based skill for AI agent onboarding?

You quickly prototype a tool-based skill by registering a basic example tool within an OpenClaw-compatible runtime to enable deterministic invocation. This approach is specifically applicable for demonstrations and onboarding scenarios in controlled environments.

Do I need a specific runtime to use tool-based skills for AI agents?

Yes, using tool-based skills requires a TypeScript host and a SkillApi-compatible runtime to function properly. These prerequisites ensure the environment can handle deterministic tool registration and invocation for your AI agent.

What is the best way to validate the Skill API workflow in development?

The best way to validate the Skill API workflow is by calling a minimal example tool with a message parameter to receive an echoed response and timestamp. This provides quick validation of tool registration and exposure within the agent environment.

Are there limitations to using a basic example skill for AI agent tool registration?

A basic example skill is limited to quick prototyping, demonstrations, and testing tool registration in controlled environments. It is not designed for complex processing, serving only to echo a message and return a timestamp via deterministic invocation.