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Ai Slot Game Developer

Community
egorfedorov
ai-slot-game-developer

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.

Overview

Publisheregorfedorov
RepositorySlot-Casino-Game-Developer-Skills-for-Stake-Engine
Skill nameai-slot-game-developer
Stars
63
Forks
16
Bundled files
5
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by egorfedorov on GitHub. Read the source before you install it.

Installation

Install the Ai Slot Game Developer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/egorfedorov/Slot-Casino-Game-Developer-Skills-for-Stake-Engine.git /tmp/Slot-Casino-Game-Developer-Skills-for-Stake-Engine
mkdir -p .claude/skills
cp -r /tmp/Slot-Casino-Game-Developer-Skills-for-Stake-Engine/ai-slot-game-developer .claude/skills/ai-slot-game-developer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ai Slot Game Developer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ai Slot Game Developer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ai Slot Game Developer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

bash
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.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Ai Slot Game Developer AI skill do?

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.

Why use Ai Slot Game Developer on TypingMind?

Because you install it once and use it with any model. Ai Slot Game Developer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ai Slot Game Developer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/egorfedorov/Slot-Casino-Game-Developer-Skills-for-Stake-Engine/tree/main/ai-slot-game-developer. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Ai Slot Game Developer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ai Slot Game Developer?

As many as you like. As long as a model supports skills, you can use Ai Slot Game Developer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ai Slot Game Developer AI skill free?

It is published on GitHub by egorfedorov. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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