Examples Auto Run

🏢Official
by openai · vlatest · Repository

This skill automatically runs example prompts to demonstrate functionality and ensure consistent output across different contexts.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add examples-auto-run npx -- -y @trustedskills/examples-auto-run
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "examples-auto-run": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/examples-auto-run"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill enables AI agents to automatically execute example code snippets provided in prompts, streamlining the transition from concept to runnable demonstration. It removes manual setup barriers by handling the execution environment directly within the agent's workflow.

When to use it

  • You want to instantly test a new algorithm or library function without configuring your local development environment.
  • You need to verify if a specific code pattern works as intended before integrating it into a larger application.
  • You are learning a new programming concept and require immediate, interactive feedback on the provided examples.
  • You wish to generate reproducible results from community-shared code snippets quickly.

Key capabilities

  • Automatic execution of example code blocks embedded in user prompts.
  • Direct integration with the openai-agents-python framework.
  • Simplified workflow for testing and validating code logic.

Example prompts

  • "Here is a Python function for calculating Fibonacci numbers; please run this example to show me the output for the first 10 numbers."
  • "Execute this snippet of JavaScript code that manipulates the DOM and display the resulting changes."
  • "Run the following SQL query example against a sample dataset and return the results."

Tips & gotchas

Ensure your prompts clearly delimit the code you want executed to avoid unintended side effects or execution errors. This skill is specifically designed for the openai-agents-python ecosystem, so it may not support code from other languages or frameworks without additional configuration.

Tags

🛡️

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Details

Version
vlatest
License
Author
openai
Installs
39

🏢 Official

Published by the company or team that built the technology.