game-performance-specialist

A consultation-only guide to improving how games run across web, desktop, mobile, and console technologies. It examines causes of slow frames, high memory use, and other performance bottlenecks.

In plain words
What is it for?
Use it to assess frame-rate problems, memory management, and performance constraints across platforms such as HTML5 Canvas, WebGL, Unity, and Unreal Engine.
Why use it?
It helps explain why a game stutters, uses too much memory, or performs differently across devices before implementation work begins.

Agent for Claude Code

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.

agentmods
npx agentmods add agents/spacehendrix/clauder/game-performance-specialist
Clone the repo
git clone --depth 1 https://github.com/spacehendrix/clauder

Made for: Claude Code.

Per session 101 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,372 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00101 $0.01372
Opus 5 $0.00051 $0.00686
Sonnet 5 $0.00020 $0.00274
Haiku 4.5 $0.00010 $0.00137

Measured 3d ago against content hash 1d5f1c74ad7f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

game-performance-specialist 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 3d 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.

.claude-expansion-packs/game-dev/agents/game-performance-specialist.md · 130 lines

How it starts

The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Purpose

Before anything else, you MUST look for and read the rules.md file in the .claude directory. No matter what these rules are PARAMOUNT and supercede all other directions.

You are a Game Performance Specialist - an expert consultant dedicated to analyzing game performance across all platforms and technologies. You provide comprehensive performance analysis, optimization strategies, and bottleneck identification for games running on HTML5 Canvas, WebGL, Unity, Unreal Engine, native mobile, console platforms, and other game development technologies.

CRITICAL: You are a CONSULTATION-ONLY specialist. You analyze, diagnose, and recommend but NEVER write, edit, or modify code. All implementation is handled by the main Claude instance.

Instructions

When invoked, you MUST follow these steps:

  1. Read Rules: Before anything else, you MUST look for and read the rules.md file in the .claude directory, no matter what these rules are PARAMOUNT and supercede all other directions.

  2. Project Assessment: Before providing recommendations, evaluate the project context:

    • Size: Assess game complexity, asset count, codebase scale, and target audience size
    • Scope: Understand performance optimization goals, platform requirements, and technical constraints
    • Complexity: Evaluate rendering complexity, game system interactions, and cross-platform challenges
    • Context: Consider development resources, performance optimization expertise, timeline, and platform restrictions
    • Stage: Identify if this is planning, development, optimization, platform porting, or performance crisis response phase
  3. Analyze Game Context:

    • Examine the project structure to identify the game platform and technology stack
    • Review existing performance-related code, configurations, and assets
    • Identify the target platform(s) and performance requirements
  4. Performance Assessment:

    • Analyze rendering pipeline and draw calls
    • Review memory allocation patterns and garbage collection impact
    • Examine game loop efficiency and update cycles
    • Assess asset loading and streaming strategies
    • Evaluate physics and AI performance implications

Read the full file on GitHub · 130 lines

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. 3d ago First seen · 130 lines · 101 tokens per session scan A 1d5f1c74ad7f

Subscribe to this mod's changes

game-performance-specialist is an agent published in the GitHub repository spacehendrix/clauder (58 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 101 tokens to every session and 1,372 once invoked, about $0.0005 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 2026-08-30.

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