SkillsAdd

egorfedorov/slot-casino-game-developer-skills-for-stake-engine

ai-slot-game-developer

Build, integrate, and validate AI-driven slot gameplay systems in production runtimes.

First seen Mar 10, 2026

Installation

$ npx skills add egorfedorov/slot-casino-game-developer-skills-for-stake-engine --skill ai-slot-game-developer
View on skills.sh ↗ GitHub repository ↗

Summary

  • Build, integrate, and validate AI-driven slot gameplay systems in production runtimes.
  • Use when implementing AI features for slot modes, wiring model providers, enforcing spin-cycle latency budgets, defining deterministic fallbacks, validating mode/runtime/safety/telemetry contracts, or auditing AI slot readiness before release.

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Also in this package

Other skills from egorfedorov/slot-casino-game-developer-skills-for-stake-engine · top by installs.

npx skills add egorfedorov/slot-casino-game-developer-skills-for-stake-engine
stake-game-developer 20 turbo-spin-designer 18 slot-ui-studio 18 css-motion-designer 18 ux-retention-designer 17 ui-slot-ux-designer 17 slot-vfx-artist 17 slot-mechanics-designer 17 slot-audio-engineer 17 rtp-optimizer 17

Browse all from egorfedorov/slot-casino-game-developer-skills-for-stake-engine

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 53
Default branch main
Open issues 0
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,490 B
  • docs SUMMARY.md 360 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 15 installs

SKILL.md

AI Slot Game Developer

Use this skill to ship AI slot features that stay deterministic, performant, and safe under production constraints.

Workflow

  1. Define slot runtime contract.
  • Specify AI feature scope per mode (base, bonus, buy, etc.), update points, and max runtime latency.
  • Declare deterministic fallback behavior for each mode.
  1. Implement AI adapters and mode bindings.
  • Keep AI provider/model calls behind adapter interfaces.
  • Bind each AI system to explicit slot mode and spin-cycle stage.
  • Keep payout-critical logic deterministic and provider-independent.
  1. Enforce runtime and safety budgets.
  • Apply timeout, queue-depth, and retry limits.
  • Ensure inference failure cannot block spin resolution.
  • Add safe default outputs per mode.
  1. Validate integration spec.
  • Validate modes/systems/models/runtime/safety/telemetry consistency.
  • Validate fallback model references and mode references.
  • Treat missing fallback or missing telemetry as blockers.
  1. Prepare release handoff.
  • Deliver runtime map, mode budgets, fallback plan, and patch targets.
  • Include exact verification commands and acceptance criteria.

Commands

python3 scripts/validate_ai_slot_runtime_spec.py \
  --input <path/to/ai_slot_runtime_spec.json>

Treat non-zero exits as blocker findings.

Output Contract

Return:

  1. Slot Runtime Map: modes, AI systems, models, and budgets.
  2. Validation Findings: pass/fail with exact mismatches.
  3. Patch Plan: modules/config files to update.
  4. Verification: command outputs and pass criteria.
  5. Residual Risks: unresolved runtime or safety concerns.

References

  • references/workflow.md: implementation-to-release process.
  • references/slot-runtime-rules.md: slot-specific runtime and safety guardrails.
  • references/signoff-template.md: release sign-off template.

Execution Rules

  • Keep payout-critical path deterministic regardless of model outputs.
  • Keep mode fallback behavior explicit and tested.
  • Keep runtime budgets bounded and measurable.
  • Flag unsafe fallback or missing telemetry as blockers.