Create or update an LLM harness that lets a language model play a kaggle-environments game. Use this skill whenever the user wants to write a harness, LLM agent, or game-playing prompt for any kaggle-environments game — including OpenSpiel games, word games, or custom environments. Also use it when the user mentions core_harness.py, GameHarness, ParseResult, or asks how to connect an LLM to a game.

2026-05-29401

review-harness.md

from "Kaggle/kaggle-environments"

Review an existing LLM harness for correctness and gameplay-impacting bugs. Use when the user asks to "review", "audit", "check", "look over", or "find bugs in" a harness, or asks whether a harness has issues that could affect win rates. Covers static code review (prompt accuracy, parser robustness, common anti-patterns), optional replay-archive scanning to quantify real-world impact, and an optional cross-harness sweep for the same anti-patterns.

2026-05-29401

review-harness.md

from "Kaggle/kaggle-environments"

Review an existing LLM harness for correctness and gameplay-impacting bugs (prompt accuracy, parser robustness, replay-archive scanning, cross-harness sweeps)

2026-05-28401

create-harness.md

from "Kaggle/kaggle-environments"

Create or update an LLM harness that connects a language model to a kaggle-environments game (prompt generation, response parsing, and tests)

2026-05-07401

create-environment.md

from "Kaggle/kaggle-environments"

Create or update a Kaggle game environment (Python backend with specification, interpreter, renderer, agents, and tests)

2026-02-27401

create-visualizer.md

from "Kaggle/kaggle-environments"

Create or update a web visualizer for a Kaggle game environment (Vite + TypeScript frontend with replay playback)