game-design-design-pillars-extractorExtract 3 to 5 actionable design pillars from a game, feature, loop, or system based on what the design actually rewards and prioritizes. Use when a team can...
Install via ClawdBot CLI:
clawdbot install stanestane/game-design-design-pillars-extractorGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated May 7, 2026
When a game is in early concept phase, this skill helps extract actionable pillars from initial mechanics and references, ensuring design intent is clear from the start and preventing feature creep.
During preproduction, teams often have competing visions. This skill surfaces implicit priorities and contradictions, aligning the team around a cohesive set of pillars that guide prototyping and iteration.
After a prototype is built, this skill analyzes actual gameplay to see if the design pillars are realized. It identifies gaps between intention and execution, informing redesign or adjustments.
For live games with accumulated features, this skill helps prioritize future updates by evaluating which features support core pillars. It identifies redundant or conflicting mechanics that should be cut or reworked.
When pitching to publishers or stakeholders, this skill refines design pillars to be sharp and tradeoff-driven, making the game's unique value proposition clear and compelling.
Offer game design pillar extraction as a paid service to indie studios or AAA teams needing design clarity. This can be packaged as a workshop or a one-time analysis report.
Integrate the extraction methodology into a game design tool or platform (e.g., Miro, Notion) that guides teams through the process automatically. Charge subscription fees.
Create a course or book teaching the pillar extraction method, targeting game designers and producers. Sell as digital product or part of a design school curriculum.
💬 Integration Tip
Automate the process with a checklist or template that prompts users to evaluate each system's rewards and tradeoffs, then use AI to suggest candidate pillars and conflicts based on their inputs.
Scored May 7, 2026
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