egorfedorov/ai-game-developer
ai-game-developer/SKILL.md
Build, integrate, and validate AI-driven gameplay systems for production game runtimes. Use when implementing AI behavior modules, wiring inference providers into game loops, enforcing latency/fallback budgets, validating safety and telemetry contracts, or auditing AI game features before release.
$ install --global
skillsauthnpx skillsauth add egorfedorov/slot-casino-game-developer-skills-for-stake-engine ai-game-developerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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SKILL.md
- name:
- ai-game-developer
- description:
- Build, integrate, and validate AI-driven gameplay systems for production game runtimes. Use when implementing AI behavior modules, wiring inference providers into game loops, enforcing latency/fallback budgets, validating safety and telemetry contracts, or auditing AI game features before release.
AI Game Developer
Use this skill to ship AI gameplay features with deterministic runtime behavior and explicit failure handling.
Workflow
- Define runtime contract first.
- Specify AI feature goals, update cadence, latency budget, and deterministic fallback behavior.
- Declare model/provider dependencies and allowed failure modes.
- Implement AI systems behind adapters.
- Keep inference providers behind replaceable adapter interfaces.
- Separate game loop logic from model/provider wiring.
- Ensure each AI system has clear input/output contracts.
- Enforce runtime safeguards.
- Add timeout and fallback strategy for inference failures.
- Bound update rates and queue growth.
- Protect core gameplay from AI dependency outages.
- Validate integration spec consistency.
- Validate systems/models/runtime/safety/telemetry fields.
- Validate fallback model references and guard coverage.
- Treat missing fallback and missing telemetry as blockers.
- Prepare production handoff.
- Deliver module map, runtime budgets, fallback behavior, and test expectations.
- Include patch plan with concrete file targets.
Commands
python3 scripts/validate_ai_game_runtime.py \
--input <path/to/ai_game_runtime_spec.json>
Treat non-zero exits as blocker findings.
Output Contract
Return:
Runtime Map: systems, models, providers, and budgets.Validation Findings: pass/fail with concrete integration gaps.Patch Plan: runtime/modules/config files requiring changes.Verification: command outputs and acceptance criteria.Residual Risks: unresolved latency, fallback, or safety concerns.
References
references/workflow.md: implementation-to-release process.references/runtime-rules.md: runtime guardrails and constraints.references/signoff-template.md: release handoff template.
Execution Rules
- Keep AI features optional from core gameplay continuity perspective.
- Keep fallback behavior deterministic and tested.
- Keep latency budgets explicit and enforced.
- Flag unsafe failure modes and missing telemetry as blockers.
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