gaming-expert

gaming-expert is a skill for Claude Code from personamanagmentlayer/pcl. It costs 51 tokens per session (971 once invoked), scanned A, original, Apache-2.0.

A guide to building video games, including gameplay, multiplayer connections, player-data tracking, and in-game purchases. It covers common engines such as Unity, Unreal, and Godot.

In plain words
What is it for?
Use it when designing game mechanics, multiplayer systems, player analytics, game economies, or live game updates.
Why use it?
Game projects combine real-time behavior, networking, measurement, and virtual economies, which require different considerations from ordinary applications.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it when designing game mechanics, multiplayer systems, player analytics, game economies, or live game updates.

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Install with agentmods
npx agentmods add skills/personamanagmentlayer/pcl/gaming-expert
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add personamanagmentlayer/pcl --skill gaming-expert
Clone the repo
git clone --depth 1 https://github.com/personamanagmentlayer/pcl

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for gaming-expert

README.md
[![agentmods](https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/gaming-expert/github.svg)](https://agentmods.dev/skills/personamanagmentlayer/pcl/gaming-expert)
Your own site
<a href="https://agentmods.dev/skills/personamanagmentlayer/pcl/gaming-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/gaming-expert/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for gaming-expert

Your own site · 80×15
<a href="https://agentmods.dev/skills/personamanagmentlayer/pcl/gaming-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/gaming-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 971 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00051 $0.00971
Opus 5 $0.00026 $0.00485
Sonnet 5 $0.00010 $0.00194
Haiku 4.5 $0.00005 $0.00097

Measured 5d ago against content hash 4b3136a0f0c2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

gaming-expert scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

stdlib/domains/gaming-expert/SKILL.md · 179 lines

How it starts

The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Gaming Expert

Build comprehensive game systems including gameplay mechanics, multiplayer infrastructure, analytics tracking, and monetization features.

Learning Objectives

  • Master game development frameworks and engines
  • Understand multiplayer networking and synchronization
  • Implement game analytics and telemetry
  • Apply game economy and monetization strategies
  • Navigate game lifecycle management and live ops

Prerequisites

  • Understanding of game design principles
  • Knowledge of real-time systems and performance
  • Familiarity with 3D math and physics
  • Experience with game development tools

Core Concepts

Game Development Frameworks

Core systems and engines (Unity, Unreal, Godot) that provide rendering, physics, audio, input handling, and scripting capabilities for building interactive game experiences.

Multiplayer Networking

Real-time synchronization of game state across multiple clients using techniques like client-server architecture, peer-to-peer, lag compensation, and prediction for responsive gameplay.

Game Analytics & Telemetry

Instrumentation and tracking of player behavior, session data, progression metrics, and performance indicators to understand engagement and optimize game design.

Game Economy & Monetization

Design and implementation of in-game currencies, virtual goods, pricing strategies, and monetization models including F2P, premium, subscriptions, and in-app purchases.

Live Operations (LiveOps)

Ongoing game management including content updates, events, balancing, player support, and community management to maintain engagement post-launch.

Best Practices

Game Development

  • Implement frame-rate independent game logic
  • Use object pooling for frequent instantiation
  • Profile and optimize performance regularly
  • Design for multiple platforms and screen sizes
  • Implement comprehensive error handling
  • Use state machines for game flow
  • Maintain clean separation of concerns

Multiplayer

  • Use authoritative server architecture
  • Implement client-side prediction
  • Apply lag compensation techniques
  • Validate all client inputs server-side
  • Use efficient network protocols
  • Implement anti-cheat measures
  • Handle disconnections gracefully

Read the full file on GitHub · 179 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 179 lines · 51 tokens per session scan A 4b3136a0f0c2

Subscribe to this mod's changes

gaming-expert is a skill published in the GitHub repository personamanagmentlayer/pcl (40 stars, last pushed 3d ago), licensed Apache-2.0. It adds 51 tokens to every session and 971 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.