AI Game Designer
Use this skill to produce coherent, constraint-aware game design specs with explicit implementation contracts.
Workflow
- Define game vision and constraints.
- Capture target audience, session length, progression horizon, and platform constraints.
- Document hard constraints (economy limits, fairness goals, compliance limitations).
- Model loops and systems.
- Define core loop, meta loop, and retention loop with explicit input/output resources.
- Define feature dependencies and unlock conditions.
- Define economy and progression contract.
- Define sources/sinks and progression pacing targets.
- Prevent degenerate loops by constraining exploit paths.
- Declare telemetry signals needed to validate assumptions.
- Validate design spec integrity.
- Check required sections and referenced features.
- Check consistency between loops, progression, and economy definitions.
- Treat missing constraints or contradictory rules as blockers.
- Prepare engineering handoff.
- Provide design-to-implementation mapping and patch plan targets.
- Include measurable acceptance criteria.
Commands
bashpython3 scripts/validate_game_design_spec.py \ --input <path/to/game_design_spec.json>
Treat non-zero exits as blocker findings.
Output Contract
Return:
Design Map: loops, systems, features, and constraints.Validation Findings: pass/fail with concrete inconsistencies.Patch Plan: docs/files that must change before implementation.Verification: command outputs and acceptance criteria.Residual Risks: unresolved economy or progression risks.
References
references/workflow.md: design-to-handoff process.references/design-rules.md: loop/economy/progression guardrails.references/signoff-template.md: release handoff template.
Execution Rules
- Keep design constraints explicit and measurable.
- Keep loop/economy dependencies internally consistent.
- Flag exploitable or contradictory progression paths as blockers.
- Require telemetry hooks for key balance assumptions.
