wpf-performance-optimizer

wpf-performance-optimizer is an agent for coding agents from christian289/dotnet-with-claudecode. It costs 0 tokens per session (965 once invoked), scanned A, original, MIT.

A specialist agent for improving rendering speed and memory use in WPF, Microsoft's desktop user-interface framework for .NET. It focuses on lower-level drawing and resource-management patterns.

In plain words
What is it for?
Optimize WPF drawing with `DrawingContext` and `DrawingVisual`, use virtualization for large content, and manage reusable drawing resources with `Freezable` patterns.
Why use it?
It helps replace slower rendering approaches and avoid unnecessary memory use in graphics-heavy WPF applications.

Agent

Part of the wpf-dev-pack plugin — 9 agents, 2 MCP servers shipped together

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/christian289/dotnet-with-claudecode/wpf-performance-optimizer
Clone the repo
git clone --depth 1 https://github.com/christian289/dotnet-with-claudecode

Or install wpf-dev-pack, the plugin that ships this one along with the rest of its 9 agents, 2 MCP servers.

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 wpf-performance-optimizer

README.md
[![agentmods](https://agentmods.dev/badge/agents/christian289/dotnet-with-claudecode/wpf-performance-optimizer.svg)](https://agentmods.dev/agents/christian289/dotnet-with-claudecode/wpf-performance-optimizer)
Your own site
<a href="https://agentmods.dev/agents/christian289/dotnet-with-claudecode/wpf-performance-optimizer"><img src="https://agentmods.dev/badge/agents/christian289/dotnet-with-claudecode/wpf-performance-optimizer.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 965 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 $0.00000 $0.00965
Opus 5 $0.00000 $0.00483
Sonnet 5 $0.00000 $0.00193
Haiku 4.5 $0.00000 $0.00097

Measured 4d ago against content hash eb182ebe88f8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

wpf-performance-optimizer 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 4d 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.

wpf-dev-pack/agents/wpf-performance-optimizer.md · 153 lines

How it starts

The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.

WPF Performance Optimizer - Rendering Optimization Specialist

Role

Optimize WPF rendering performance and memory management for high-performance applications.

WPF Coding Rules (Embedded)

DrawingContext Pattern (10-50x faster than Shape)

public class OptimizedCanvas : FrameworkElement
{
    private readonly List<Point> _points = [];
    private Pen? _pen;
    private Brush? _brush;

    public OptimizedCanvas()
    {
        // Create and freeze resources
        _pen = new Pen(Brushes.Black, 1);
        _pen.Freeze();

        _brush = Brushes.Blue.Clone();
        _brush.Freeze();
    }

    protected override void OnRender(DrawingContext dc)
    {
        base.OnRender(dc);

        foreach (var point in _points)
        {
            dc.DrawEllipse(_brush, _pen, point, 5, 5);
        }
    }

    public void AddPoints(IEnumerable<Point> points)
    {
        _points.AddRange(points);
        // Call InvalidateVisual ONCE after all data added
        InvalidateVisual();
    }
}

DrawingVisual Pattern (Bulk Rendering)

public class VisualHost : FrameworkElement
{
    private readonly VisualCollection _children;

    public VisualHost()
    {
        _children = new VisualCollection(this);
    }

    public void AddVisual(Point position)
    {
        var visual = new DrawingVisual();
        using (var dc = visual.RenderOpen())
        {
            var brush = Brushes.Red.Clone();
            brush.Freeze();
            dc.DrawEllipse(brush, null, position, 10, 10);
        }
        _children.Add(visual);
    }

    protected override int VisualChildrenCount => _children.Count;

    protected override Visual GetVisualChild(int index) => _children[index];
}

Freezable Pattern

Apply the preloaded freezable-performance rules (see frontmatter skills).

Rendering Best Practices

Apply the preloaded rendering-antipatterns rules.

VirtualizingStackPanel Pattern

Apply the preloaded virtualization-patterns rules.

Read the full file on GitHub · 153 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. 4d ago First seen · 153 lines · 0 tokens per session scan A eb182ebe88f8

Subscribe to this mod's changes

wpf-performance-optimizer is an agent published in the GitHub repository christian289/dotnet-with-claudecode (41 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 965 tokens. 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.

Related

Other agents, from other repositories

documentation-updater

Technical writing specialist for creating and maintaining documentation. Use proactively after code changes to detect and fix documentation drift - new or changed APIs, parameters, configuration, dependencies, or removed features. Also use when asked to write or update READMEs, getting-started guides, API references…

sintaxasn/Fluence.Wpf · 91 tokens

theme-slot-auditor

Read-only auditor for Fluence.Wpf theming structure. Use after any theme, brush, color, accent, or ApplicationThemeManager change to verify the three-slot MergedDictionaries invariant, that slot [0] is rebuilt and replaced every Apply, DynamicResource usage, BrushFactory auto-twinning, canonical WinUI key names, and…

sintaxasn/Fluence.Wpf · 90 tokens

net472-feasibility-checker

Read-only checker that verifies new or changed code in Fluence.Wpf stays runnable on net472. Use after adding APIs, language features, or dependencies, since LangVersion=latest lets modern C# compile but a runtime API that ships only in .NET 10 fails on the separate net472 test lane. Enforces AGENTS.md section 4.3.

sintaxasn/Fluence.Wpf · 81 tokens

winui-parity-reviewer

Read-only reviewer for Fluence.Wpf control and theme changes. Use to compare WPF templates, resources, and behavior against WinUI 3 CommonStyles and official Microsoft guidance.

sintaxasn/Fluence.Wpf · 43 tokens

agent-memory

Learn how to use chat history and memory with Agent Framework.

managedcode/PrompterOne · 11 tokens

memory

How to add memory to an agent using an AIContextProvider.

managedcode/PrompterOne · 13 tokens