Agent skill · product strategy · jwynia
abstract-strategy
Design abstract strategy games with perfect information, no randomness, and strategic depth. Use when designing a board game, exploring abstract strategy games, brainstorming game mechanics, or evaluating game balance. Keywords: board game, game design, strategy, mechanics, balance.
Why this skill is useful
Provides a comprehensive framework for designing abstract strategy games that includes specific mechanics and balance considerations not commonly found in general game design resources.
What it needs
About 6k tokens when loaded. Last updated 2026-02-24. 136 stars on the source repository.
What this skill does
Abstract Strategy Game Design Purpose Design abstract strategy games—games with perfect information, no randomness, and strategic depth. Provides frameworks for ideation, design, and evaluation. Core Definition Abstract strategy games require: Perfect Information: All game state visible to all players No Randomness: Outcomes determined solely by player decisions Minimal Theme: Mechanics over narrative Player Agency: Success depends on strategic thinking --- Quick Reference: Game Types Type Core Mechanic Examples ------ --------------- ---------- Connection Form paths/networks Hex, TwixT Territory Control areas Go, Othello Capture Eliminate pieces Chess, Checkers Pattern Create arrangements Gomoku, Pentago Racing Reach goal first Chinese Checkers --- Design Principles The Holy Grail: Depth-to-Complexity Ratio Maximum strategic depth with minimum rules complexity. How to achieve: Start with single strong core mechanism Remove anything that doesn't support the core Every rule should create multiple strategic implications Prefer emergent complexity over explicit rules Meaningful Decision Architecture Four components of meaningful choice: 1. Awareness: Players understand options 2. Consequence: Immediate and long-term effects 3. Permanence: Decisions have lasting impact 4. Reminders: Game state reflects past choices Ideal Parameters: Branching factor: 20-40 moves/turn for human play Horizon: 3-5 moves ahead with effort Multiple paths: 3-4 viable strategies minimum --- Core Mechanisms Toolkit Board Topology Grids: Square, hexagonal, triangular, irregular Connectivity: How spaces relate Edges: How boundaries affect strategy Size: Larger = exponentially more complex Piece Systems Uniform: All pieces identical (Go) Differentiated: Unique abilities (Chess) Transforming: Change during play (Checkers kings) Ownership: Fixed vs. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills jwynia/abstract-strategy