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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.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Enforces data governance by verifying Knowledge Catalog Aspects before recommending BigQuery tables.
Ensures the game has a fun easter egg that turns the screen black and white, sepia or gameboy monotone colours. Use when creating or modifying a game.
Ensures platformer games have polished movement, responsive controls, and balanced jump mechanics. Use ONLY when the game type is "platformer".
Guides the creation of a new game and is the high-level orchestrator skill that MUST be invoked first. Use when tasked with creating a new game.
Arcade game must have a retro asthetic. Use when creating or modifying a game to ensure that the game looks retro and maintains a consistent look and feel with all games.
Game will always use the same control scheme/buttons and mapping of the gamepad and keyboard. Use when creating or modifying a game.
| name | gcp-agent-golden-dataset-builder |
| description | Assists developers in collecting and structuring a library of diverse examples ("Golden Dataset") required for data-driven evaluation, including tool trajectories. |
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).
Ask Antigravity to:
A production-ready dataset uses the .jsonl format and includes:
prompt: The user input.reference: The ground truth answer (for semantic ResponseMatch).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.Refer to examples/trajectory_dataset.jsonl for the implementation. Note the use of tool_name and tool_input in the trajectory.