review-docs

Audit a game environment's README.md and AGENTS.md against its engine implementation (stale constants, unreachable caps, undocumented preconditions, wrong observation fields). Also use proactively after changing an environment engine that has sibling docs. The engine is the source of truth.

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Repository: Kaggle/kaggle-environments
Last source activity: August 4, 2026 at 15:53
Detected SKILL.md language: English
Stars: 454
Forks: 195

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SKILL.md

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name: review-docs
description: Audit a game environment's README.md and AGENTS.md against its engine implementation (stale constants, unreachable caps, undocumented preconditions, wrong observation fields). Also use proactively after changing an environment engine that has sibling docs. The engine is the source of truth.

Follow the instructions in [.agents/skills/review-docs/SKILL.md](../../../.agents/skills/review-docs/SKILL.md). Use `$ARGUMENTS` as the game name if provided.

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review-harness

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.

2026-09-16

review-docs

Audit a game environment's README.md and AGENTS.md against its engine implementation. Use when the user asks to "review", "audit", "check", or "fact-check" environment docs, when players report doc/engine discrepancies, or before a competition launch. Also use proactively after changing an environment's engine (`kaggle_environments/envs/<game>/<game>.py`) when a sibling README.md or AGENTS.md exists — rebalances and mechanic changes routinely leave those docs stale. The engine is always the source of truth — docs get fixed, not the engine.

2026-08-04

create-harness

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.

2026-07-21

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review-docs

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