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gcp-agent-golden-dataset-builder

Agent Building
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Assists developers in collecting and structuring a library of diverse examples ("Golden Dataset") required for data-driven evaluation, including tool trajectories.

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How to use this skill

Bring this guide into your coding agent with a prompt tailored to the tool you use.

  1. Open your project in Codex.
  2. Copy the prompt below and paste it into your agent.
  3. Review the proposed files and risks before you approve installation.
Prompt to paste
I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/GoogleCloudPlatform/devrel-demos/blob/HEAD/ai-ml/dev-signal/.agent/skills/gcp-agent-golden-dataset-builder/SKILL.md

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First, summarize what it does, its dependencies, license status if identifiable, and any risks. Show the exact files you propose to add under .agents/skills/gcp-agent-golden-dataset-builder/. Do not write files or run scripts until I approve.

After I approve, install the complete skill folder, including required referenced files, into that project location. Verify it is discoverable, then tell me its actual invocation name and how to use it. Do not claim it is installed until you have verified it.

Copying this prompt does not install or run the skill. Review third-party files before use. Codex skill guide

gcp-agent-golden-dataset-builder

This skill helps you build the foundation for data-driven agent development: the Golden Dataset. Grounded in evaluation_blog.md, it focuses on verifying not just the final answer, but the "Thinking Process" (Reasoning Trace).

Usage

Ask Antigravity to:

  • "Build a golden dataset with tool trajectories"
  • "Structure my evaluation data for tool call validation"
  • "Create a template for my Course Creator agent evaluation"

Dataset Pattern

A production-ready dataset uses the .jsonl format and includes:

  1. prompt: The user input.
  2. reference: The ground truth answer (for semantic ResponseMatch).
  3. reference_trajectory: A list of expected tool calls. This allows the evaluator to check if the agent used the right tools in the right order.

Example Structure

Refer to examples/trajectory_dataset.jsonl for the implementation. Note the use of tool_name and tool_input in the trajectory.